diff --git a/CLAUDE.md b/CLAUDE.md
index 9eeb64de8..af5db63d4 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -163,7 +163,69 @@ Always cover:
 3. **Error cases** — invalid inputs, type errors.
 4. **Integration** — components working together.
 
-Naming: `test_<function_name>_<scenario>_<expected_outcome>`.
+Naming: `test_<function_name>_<scenario>_<expected_outcome>`, **kept under 60
+characters**. Omit any part the module or class name already carries — a test in
+`test_config.py` needs no `config_` prefix — and drop `_returns_*` tails when the
+scenario already implies the outcome. Keep `_raises` for error cases; the
+exception type is usually redundant with it.
+
+```
+# too long — the module already says `summary_generator_stress`, and
+# `_raises_runtime_error` repeats what `pytest.raises` in the body states
+test_summary_generator_stress_init_strain_without_filenames_raises_runtime_error
+
+# good
+test_init_strain_without_filenames_raises
+```
+
+### Test tiers, markers, and locations
+
+Tests are split into three tiers so the fast ones can be run without waiting on
+real data or being interrupted by GUI pop-ups. **Put every new test in the tier
+matching what it actually touches, and apply the marker that tier requires.**
+
+| Tier | Location | Marker | Run with |
+|---|---|---|---|
+| Unit | `tests/unit/<module-path>/`, mirroring the `pyrs/` package layout | *none* | `pixi run test-unit` |
+| Integration | `tests/integration/` (flat) | `@pytest.mark.integration` | `pixi run test-integration` |
+| GUI | `tests/ui/` | `@pytest.mark.gui` **and** `@pytest.mark.integration` | `pixi run test-gui` |
+| By-hand scripts | `tests/scripts/` | *n/a — never collected* | run the file directly |
+
+Marker definitions, registered in `pyproject.toml`:
+
+- **`integration`** — exercises real file I/O (`tests/data`, the `/HFIR`
+  archive) or a multi-component workflow.
+- **`gui`** — constructs or drives Qt widgets; requires a display (xvfb or
+  offscreen).
+
+Notes:
+
+- Markers are enforced by `addopts = "--strict-markers"`: an unregistered marker
+  is an error, not a silent no-op. Register new markers in `pyproject.toml`.
+- `test-gui` selects `-m gui`; `test-integration` selects
+  `-m 'integration and not gui'`. GUI tests therefore carry **both** markers —
+  `gui` alone would drop them from the integration tier.
+- A test is a *unit* test only if it needs no real file and no widget. If it
+  loads a fixture file purely for convenience, prefer rewriting it against a
+  synthetic fixture and keeping it in the unit tier.
+- Apply a whole-module marker with `pytestmark = pytest.mark.integration` rather
+  than decorating every function.
+- `tests/util/` holds shared helper modules and fixtures, not tests of its own
+  (beyond tests *for* those helpers); `tests/scripts/` is excluded from
+  collection via `norecursedirs`.
+- `test-gui` sets `QT_QPA_PLATFORM=offscreen` itself, so no window ever appears.
+  The full `pixi run test` does **not** — it is the task CI drives under
+  `xvfb-run`, and a pixi task `env` would override that. Export
+  `QT_QPA_PLATFORM=offscreen` yourself before running the full suite on a
+  workstation with a real desktop session, or it will stall on the GUI tier
+  until the timeout below fires — see [docs/ground_truths.md](docs/ground_truths.md).
+- **Every test has a 300-second timeout** (`timeout`/`timeout_method` in
+  `pyproject.toml`, via `pytest-timeout`). A hang is a failure, not an infinite
+  wait. `timeout_method = "thread"` is deliberate: a test blocked inside Qt's C++
+  event loop never returns to the interpreter, so the default `signal` method
+  cannot interrupt it — verified. The watchdog dumps every thread's stack, which
+  names the blocking line. Override per-test with `@pytest.mark.timeout(N)` for a
+  genuinely long-running case rather than raising the global limit.
 
 ## 🔍 Code Review Process
 
diff --git a/docs/ground_truths.md b/docs/ground_truths.md
index 0a197ed5a..783daed77 100644
--- a/docs/ground_truths.md
+++ b/docs/ground_truths.md
@@ -308,6 +308,63 @@ using that name. `grep -rn '"\.\./\|\.\(json\|csv\|h5\|xml\)"' tests/`
 `open()`, `os.remove()`, etc.) is a reasonable sweep for this pattern in
 other UI tests.
 
+## `pixi run test` hangs on the GUI tier under an interactive display (2026-09)
+
+Running the full suite on a workstation with a real desktop session
+(`DISPLAY=:0` plus a live Wayland compositor) and **no** `QT_QPA_PLATFORM`
+override hangs indefinitely at the first GUI test,
+`tests/ui/test_calibration_ui.py`. It is not slow — it is blocked. The
+process sits at ~6% CPU with `wchan = poll_schedule_timeout`, holding the
+compositor's cursor-shm, `mime.cache` and `icon-theme.cache` file
+descriptors open: the signature of a real, mapped Qt window spinning its
+event loop waiting for an interaction that never arrives. pytest's stdout
+is block-buffered when redirected, so the log shows nothing after the
+`tests/ui/test_calibration_ui.py` line and the run looks merely slow.
+
+Set `QT_QPA_PLATFORM=offscreen` and the same suite completes in under six
+minutes. This matches what `scripts/development/run_tests.py`'s own
+docstring assumes ("the offscreen Qt platform used for local runs"), but
+nothing in the repo actually *sets* it, so whether a local run works
+depends on the developer's desktop environment.
+
+Note the asymmetry with the segfault entry above: `offscreen` is what
+makes a local run finish, while CI's real display server (`xvfb-run` +
+`xcb`) is what makes the shutdown segfault reproducible. The two failure
+modes want opposite platforms, which is why neither is reliably visible
+from the other's environment.
+
+**Resolved (2026-09-18), two ways:**
+
+1. `test-gui` now carries `env = { QT_QPA_PLATFORM = "offscreen" }` in its
+   pixi task definition, so it can no longer open a window regardless of
+   the developer's desktop. It is *not* set on the `test` task: a pixi task
+   `env` overrides the ambient environment unconditionally (verified — a
+   caller's `QT_QPA_PLATFORM=xcb` is ignored, and neither `${VAR:-default}`
+   in `env` nor in `cmd` expands), so setting it there would silently
+   defeat CI's `xvfb-run` wrapper and switch CI off the `xcb` platform
+   this very section is about.
+2. Every test now has a 300s cap (`pytest-timeout`, configured in
+   `pyproject.toml`). A hang is therefore a failure with a stack dump
+   rather than an unbounded wait, including on the full `pixi run test`
+   where offscreen is not forced.
+
+`timeout_method = "thread"` is required, not a preference. Measured
+directly against a `QEventLoop().exec()` that never returns to the
+interpreter: with `--timeout-method=signal` (the plugin's Unix default)
+the 5s timeout passed unnoticed and an external `timeout 40` had to kill
+the process; with `--timeout-method=thread` it was caught at 5s and the
+dump named the exact blocking line. SIGALRM is only delivered when the
+interpreter next executes bytecode, which a blocked C++ event loop never
+does.
+
+**Practical consequence:** prefer `pixi run test-unit` /
+`pixi run test-integration` for day-to-day work — they deselect the `gui`
+marker entirely and never open a window. (Confirmed: the only `tests/ui/`
+tests the integration tier selects are `test_model`,
+`test_model_multiple_files` and `test_model_from_json`, which construct
+`Model()` and touch no widget.) Before the full `pixi run test`, still
+export `QT_QPA_PLATFORM=offscreen` yourself.
+
 ## Uncalibrated (`Status: -1`) calibration JSON silently applied during reduction (2026-07)
 
 `read_calibration_json_file()` in
diff --git a/pixi.lock b/pixi.lock
index 24d226e73..bf3060905 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -15,6 +15,7 @@ environments:
     - url: https://conda.anaconda.org/mantid-ornl/label/nightly/
     - url: https://conda.anaconda.org/mantid/label/main/
     - url: https://conda.anaconda.org/mantid/label/nightly/
+    - url: https://conda.anaconda.org/neutrons/
     - url: https://prefix.dev/pixi-build-backends/
     indexes:
     - https://pypi.org/simple
@@ -24,142 +25,138 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.14.3-py313hd6074c6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16.1-h7cc23a3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/aom-3.14.1-pl5321h57e6904_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ast-serialize-0.8.0-py310hd8a072f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ast-serialize-0.11.2-py311hf77984d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.7.0-py313h8f72f4d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.7.0-py313h8f72f4d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313h2fc2bef_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-h505cf86_4.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.1.1-py313ha52865f_2.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/comrak-0.54.0-hb17b654_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-50.0.0-py313h78454fb_1.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/freeglut-3.2.2-h215f996_4.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.16-hb03c661_1.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.8-h68053f1_0.conda
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+    - c-blosc2 >=3.3.4,<3.4.0a0
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   license_family: MIT
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+  - pkg:pypi/cffi?source=compressed-mapping
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.1.1-py313ha52865f_2.conda
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+  - libgcc >=15
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+  - pkg:pypi/coverage?source=compressed-mapping
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-  - python_abi 3.13.* *_cp313
+  - _python_abi3_support 1.*
+  - cpython >=3.11
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-  license_family: BSD
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+  - pkg:pypi/debugpy?source=compressed-mapping
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   license: MPL-2.0
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-  - libass >=0.17.5,<0.17.6.0a0
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   - libxcb >=1.17.0,<2.0a0
   - libxml2
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-  timestamp: 1788011054961
+    - ffmpeg >=9.0.2,<10.0a0
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-  md5: 294fb524171e2a2748cb7fe708aba826
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-  - libgcc >=14
+  - libgcc >=15
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   - python_abi 3.12.* *_cp312
@@ -3349,27 +3179,27 @@ packages:
   license: MIT
   license_family: MIT
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+  - pkg:pypi/fonttools?source=compressed-mapping
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   - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
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+  - pkg:pypi/fonttools?source=compressed-mapping
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-  md5: 10dab6a745f32ceeac6c9e00d9979797
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/gnutls-3.8.13-h18acefa_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/gsl-2.8-hbf7d49c_1.conda
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+  - libgcc >=15
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   purls: []
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-  size: 2486744
-  timestamp: 1737621160295
+  size: 2466796
+  timestamp: 1789041589598
 - conda: https://conda.anaconda.org/conda-forge/linux-64/gst-plugins-base-1.26.11-h6d08254_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-14.4.0-ha770c72_0.conda
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-  md5: c2d4a4fe3216b26ef30e91d917c1b718
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+  md5: d5c10e05d7135fca0731173c288bfff5
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+  - libharfbuzz-devel 14.4.0 h23af247_1
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   license_family: MIT
   purls: []
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     weak:
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-  size: 11141
-  timestamp: 1787795205932
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+  timestamp: 1788405531557
+- conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-14.5.0-ha770c72_0.conda
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+  md5: ef253035e60216967c117ab9a279eea2
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+  license: MIT
+  license_family: MIT
+  purls: []
+  run_exports:
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5plugin-7.0.0-py312hfbf75e7_2.conda
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-  md5: 9dd0a82d4f4a67ee6af326d13dfe8deb
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+  - c-blosc2 >=3.3.3,<3.4.0a0
   - h5py >=3.0.0
   - hdf5 >=1.14.6,<1.14.7.0a0
-  - libgcc >=14
-  - libstdcxx >=14
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+  - libstdcxx >=15
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   - lz4-c >=1.10.0,<1.11.0a0
+  - openjph >=0.31.0,<0.32.0a0
   - packaging
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   - python_abi 3.12.* *_cp312
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   - bzip2 >=1.0.8,<2.0a0
-  - c-blosc2 >=3.3.0,<3.4.0a0
+  - c-blosc2 >=3.3.3,<3.4.0a0
   - h5py >=3.0.0
   - hdf5 >=1.14.6,<1.14.7.0a0
-  - libgcc >=14
-  - libstdcxx >=14
+  - libgcc >=15
+  - libstdcxx >=15
   - libzlib >=1.3.2,<2.0a0
   - lz4-c >=1.10.0,<1.11.0a0
+  - openjph >=0.31.0,<0.32.0a0
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   - python_abi 3.13.* *_cp313
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   - pkg:pypi/hdf5plugin?source=hash-mapping
   run_exports: {}
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/intel-gmmlib-22.10.0-hb700be7_0.conda
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-  md5: 10909406c1b0e4b57f9f4f0eb0999af8
+- conda: https://conda.anaconda.org/conda-forge/linux-64/intel-gmmlib-22.10.2-h7148c6a_0.conda
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-  - libgcc >=14
-  - libstdcxx >=14
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+  - libstdcxx >=15
   license: MIT
   license_family: MIT
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+    - intel-gmmlib >=22.10.2,<23.0a0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/jasper-4.2.9-h1588d4d_1.conda
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   - freeglut >=3.2.2,<4.0a0
-  - libexpat >=2.7.4,<3.0a0
-  - libgcc >=14
+  - __glibc >=2.17,<3.0.a0
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   - libglu >=9.0.3,<9.1.0a0
-  - libjpeg-turbo >=3.1.2,<4.0a0
+  - libjpeg-turbo >=3.2.0,<4.0a0
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.5.1-py312h9be0db6_3.conda
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   - libstdcxx >=15
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   - python_abi 3.12.* *_cp312
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+  - __glibc >=2.17,<3.0.a0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.19.1-h9073bf1_2.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/level-zero-1.29.0-hb700be7_0.conda
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-  md5: f3c3bc77c96af553f761af0e78bc8d9d
+- conda: https://conda.anaconda.org/conda-forge/linux-64/level-zero-1.33.1-h7148c6a_0.conda
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-  - abseil-cpp =20260107.1
-  license: Apache-2.0
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-    - libabseil =*=cxx17*
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libass-0.17.4-h96ad9f0_0.conda
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-  md5: d3be7b2870bf7aff45b12ea53165babd
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libass-0.17.5-h3b6f6bf_1.conda
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-  - libcblas   3.11.0   10*_openblas
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+  - liblapack  3.11.0   11*_openblas
+  - liblapacke 3.11.0   11*_openblas
   - mkl <2027
   license: BSD-3-Clause
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-  - libllvm23 >=23.1.0,<23.2.0a0
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-  - libllvm23 >=23.1.0,<23.2.0a0
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-  - libzlib >=1.3.2,<2.0a0
+  - __glibc >=2.17,<3.0.a0
   - libiconv >=1.18,<2.0a0
+  - pcre2 >=10.47,<10.48.0a0
   - libffi >=3.7.0,<3.8.0a0
+  - libzlib >=1.3.2,<2.0a0
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   license: LGPL-2.1-or-later
   purls: []
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-  size: 4758097
-  timestamp: 1787884091247
+    - libglib >=2.90.0,<3.0a0
+  size: 4819130
+  timestamp: 1789478025196
 - conda: https://conda.anaconda.org/conda-forge/linux-64/libglu-9.0.3-h5888daf_1.conda
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   timestamp: 1787310053582
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.2.0-he0feb66_4.conda
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-  md5: 89d2c1231f47bd818f5d624b9411459d
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-16.2.0-he0feb66_5.conda
+  sha256: 224a5a09e258a1a257089a9af310e9336e1d36834959718a9fab8679742dd822
+  md5: af44890f8a2beefd3a83805a59a65014
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   license: GPL-3.0-only WITH GCC-exception-3.1
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-  timestamp: 1787618616266
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libharfbuzz-14.4.0-h23af247_0.conda
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-  md5: 4463210c2a16ff5d3bf7f502af23f1f4
+  size: 641644
+  timestamp: 1789485759120
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libharfbuzz-14.4.0-h23af247_1.conda
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+  md5: c44470b6bfa6a582cb4dd42cbda3401e
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   - cairo >=1.18.4,<2.0a0
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-  timestamp: 1787795176798
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libharfbuzz-devel-14.4.0-h23af247_0.conda
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-  md5: 26e37e05324d7bb723350d50b33057fc
+  size: 1382623
+  timestamp: 1788405508587
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+  md5: 4c0d9662a054c51e69b66a427e7ead03
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+  - graphite2 >=1.3.15,<2.0a0
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+  - libfreetype >=2.14.3
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+  - libglib >=2.90.0,<3.0a0
+  - libpng >=1.6.58,<1.7.0a0
+  - libstdcxx >=15
+  - libzlib >=1.3.2,<2.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  run_exports: {}
+  size: 1408394
+  timestamp: 1790061782998
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libharfbuzz-devel-14.4.0-h23af247_1.conda
+  sha256: 11f08038c165e354c2a7064ce6bcb28dad2668b330931572666f418e2a8f623c
+  md5: 148cd995f5ba8af22412a4258abc2f94
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   - cairo >=1.18.4,<2.0a0
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   - libgcc >=15
   - libglib >=2.88.3,<3.0a0
-  - libharfbuzz 14.4.0 h23af247_0
+  - libharfbuzz 14.4.0 h23af247_1
   - libpng >=1.6.58,<1.7.0a0
   - libstdcxx >=15
   - libzlib >=1.3.2,<2.0a0
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     weak:
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-  size: 2142051
-  timestamp: 1787795196934
+  size: 2144076
+  timestamp: 1788405523805
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libharfbuzz-devel-14.5.0-h23af247_0.conda
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+  - libharfbuzz 14.5.0 h23af247_0
+  - libpng >=1.6.58,<1.7.0a0
+  - libstdcxx >=15
+  - libzlib >=1.3.2,<2.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  run_exports:
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.13.0-default_he001693_1000.conda
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   timestamp: 1787033836207
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libidn2-2.3.8-hfac485b_1.conda
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   timestamp: 1785896381946
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libjxl-0.11.2-h174a0a3_1.conda
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-  - libbrotlienc >=1.2.0,<1.3.0a0
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   timestamp: 1786691380980
-- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-10_h47877c9_openblas.conda
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-  md5: 7b918d4958f359c889c662aa361cf992
+- conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-11_h47877c9_openblas.conda
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-  - libcblas   3.11.0   10*_openblas
-  - liblapacke 3.11.0   10*_openblas
+  - blas 2.311   openblas
+  - libcblas   3.11.0   11*_openblas
+  - liblapacke 3.11.0   11*_openblas
   license: BSD-3-Clause
+  license_family: BSD
   purls: []
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   - libstdcxx >=15
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   - mbedtls >=4.0.0,<4.1.0a0
+  - fmt >=12.1.0,<12.2.0a0
+  - spdlog >=1.17.0,<1.18.0a0
   license: Apache-2.0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm22-22.1.8-h474f4eb_2.conda
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-  md5: d70196b03134e3bab985d9f5554fb38b
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   - libgcc >=15
   - libstdcxx >=15
   - libxml2
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+  - libxml2-16 >=2.15.4
   - libzlib >=1.3.2,<2.0a0
   - zstd >=1.5.7,<1.6.0a0
   license: Apache-2.0 WITH LLVM-exception
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm23-23.1.0-h474f4eb_0.conda
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-  md5: 3b8c8325547a4fd8c51649ef7dfab688
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm23-23.1.1-h474f4eb_0.conda
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+  md5: d96e790721dd4e9af624acbf46cdd818
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   - libgcc >=15
   - libstdcxx >=15
   - libxml2
-  - libxml2-16 >=2.15.3
+  - libxml2-16 >=2.15.4
   - libzlib >=1.3.2,<2.0a0
   - zstd >=1.5.7,<1.6.0a0
   license: Apache-2.0 WITH LLVM-exception
@@ -5104,9 +4911,9 @@ packages:
   purls: []
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     weak:
-    - libllvm23 >=23.1.0,<23.2.0a0
-  size: 45046595
-  timestamp: 1787716721647
+    - libllvm23 >=23.1.1,<23.2.0a0
+  size: 45065095
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.3-hb03c661_1.conda
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   size: 112995
   timestamp: 1786348617826
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libmamba-2.9.0-py314h3b59866_0.conda
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-  md5: 444e55c79d67040779af3a0167963bea
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libmamba-2.9.0-py312he3a525c_1.conda
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+  md5: 20afe395e040a265bb209de2f0b2ec70
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-  - openssl >=3.5.7,<4.0a0
   - fmt >=12.1.0,<12.2.0a0
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   - spdlog >=1.17.0,<1.18.0a0
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+  license: BSD-3-Clause
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libmamba-2.9.0-py313hc1bd57e_1.conda
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-  - libgcc >=14
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   license: BSD-3-Clause
   license_family: BSD
   purls: []
   run_exports: {}
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+  license: BSD-3-Clause
+  license_family: BSD
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libmambapy-2.9.0-py312h08f3bd4_1.conda
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-  - libmamba ==2.9.0 py314h3b59866_0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libvpx-1.15.2-hd2095e1_1.conda
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libvpx-1.17.0-hd2095e1_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-16-2.15.3-hca6bf5a_1.conda
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-  md5: 20e4d67ec908f0405124f11612c48305
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   - liblzma >=5.8.3,<6.0a0
   - libzlib >=1.3.2,<2.0a0
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+  - libxml2 2.15.4
   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.15.3-h49c6c72_1.conda
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-  md5: 2d34cdb31014cbc8f1e9384c89ede0a5
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   - liblzma >=5.8.3,<6.0a0
-  - libxml2-16 2.15.3 hca6bf5a_1
+  - libxml2-16 2.15.4 hf3af7cc_0
   - libzlib >=1.3.2,<2.0a0
   license: MIT
   license_family: MIT
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.43-h711ed8c_1.conda
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-  md5: 87e6096ec6d542d1c1f8b33245fe8300
+    - libxml2-16 >=2.15.4
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.45-h8e12856_1.conda
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+  - libgcc >=15
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-  md5: a7b27c075c9b7f459f1c022090697cba
+    - libxslt >=1.1.45,<2.0a0
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+  timestamp: 1788534852474
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.4-h6008cf6_0.conda
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-  - libgcc >=13
-  - libzlib >=1.3.1,<2.0a0
-  - openssl >=3.3.2,<4.0a0
+  - libgcc >=15
+  - libzlib >=1.3.2,<2.0a0
+  - openssl >=3.5.8,<4.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls: []
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+    - libzip >=1.11.4,<2.0a0
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_3.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-4.4.5-py312h3d67a73_1.conda
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-  md5: a669145a2c834895bdf3fcba1f1e5b9c
+- conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-4.4.5-py312hc6a72db_2.conda
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+  md5: a98e678cb247b751c1148fdc9deb5189
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-  - libgcc >=14
-  - python_abi 3.12.* *_cp312
   - lz4-c >=1.10.0,<1.11.0a0
+  - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
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+  - pkg:pypi/lz4?source=compressed-mapping
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-  - libgcc >=14
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+  - libgcc >=15
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+  - python_abi 3.13.* *_cp313
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+  - pkg:pypi/lz4?source=compressed-mapping
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.32.9-h8142553_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.2.2-py312h9be0db6_1.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.2.2-py312h9be0db6_2.conda
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+  md5: e9600e8080bf57f25ad2e9f78564c895
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   - python_abi 3.12.* *_cp312
   license: Apache-2.0
+  license_family: APACHE
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.2.2-py313h2551ef2_1.conda
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@@ -6871,11 +6416,12 @@ packages:
   - libgcc >=15
   - python_abi 3.13.* *_cp313
   license: Apache-2.0
+  license_family: APACHE
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-2.3.1-py312h89dfda2_0.conda
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-  md5: ff6c8866bb34fa7c26ca9303fc2d5f3b
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-2.3.1-py313h7f1de9a_0.conda
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   - typing_extensions >=4.6.0
   - psutil >=4.0
-  - __glibc >=2.17,<3.0.a0
   - libgcc >=15
+  - __glibc >=2.17,<3.0.a0
   - python_abi 3.13.* *_cp313
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/mypy?source=hash-mapping
+  - pkg:pypi/mypy?source=compressed-mapping
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/nettle-3.10.1-h5ef0d04_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.4-h55fea9a_0.conda
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-  md5: 11b3379b191f63139e29c0d19dee24cd
+- conda: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.4-heb1ab33_2.conda
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-  - libstdcxx >=14
-  - libtiff >=4.7.1,<4.8.0a0
-  - libzlib >=1.3.1,<2.0a0
+  - libstdcxx >=15
+  - libtiff >=4.7.2,<4.8.0a0
+  - libzlib >=1.3.2,<2.0a0
+  - libpng >=1.6.58,<1.7.0a0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/p11-kit-0.26.5-h8d769aa_2.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-3.0.5-py312h8ecdadd_1.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/pandas-3.0.6-np2py312h91ec553_0.conda
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-  - libstdcxx >=14
-  - numpy >=1.23,<3
+  - libstdcxx >=15
+  - numpy >=1.25,<3
   - python_abi 3.12.* *_cp312
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   license_family: BSD
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+  - pkg:pypi/pandas?source=compressed-mapping
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-  - numpy >=1.23,<3
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+  - libstdcxx >=15
+  - numpy >=1.25,<3
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   license_family: BSD
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+  - pkg:pypi/pandas?source=compressed-mapping
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-  - lcms2 >=2.19.1,<3.0a0
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-  - libtiff >=4.7.1,<4.8.0a0
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+  - pkg:pypi/pillow?source=compressed-mapping
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+  - pkg:pypi/psutil?source=compressed-mapping
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   - libstdcxx >=15
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   - python_abi 3.12.* *_cp312
+  - fmt >=12.1.0,<12.2.0a0
+  - spdlog >=1.17.0,<1.18.0a0
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-  - liblief 1.0.0 hd2095e1_1
   - libstdcxx >=15
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+  - liblief >=1.0.0,<1.1.0a0
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/py-rattler-build-0.72.2-py310h701b438_1.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/py-rattler-build-0.73.0-py311h30674b1_0.conda
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+  - pkg:pypi/py-rattler-build?source=compressed-mapping
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+  - libgcc >=15
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-27.2.0-py312h8a5ba0d_0.conda
+- conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-27.2.0-py312h8a5ba0d_2.conda
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-multimedia-6.11.1-pl5321hb5f9c21_0.conda
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+  license_family: MIT
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   license: MIT
+  license_family: MIT
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   license: BSD-3-Clause
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+  - pkg:pypi/spglib?source=compressed-mapping
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+  - pkg:pypi/spglib?source=compressed-mapping
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+  license_family: BSD
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+  - python >=3.11
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+  - hdf4 >=4.2.15,<4.2.16.0a0
+  - numpy >=1.21,<3
+  - libboost-python >=1.88.0,<1.89.0a0
   - hdf5 >=1.14.6,<1.14.7.0a0
   - python_abi 3.13.* *_cp313
-  - libopenblas >=0.3.27,<1.0a0
-  - librdkafka >=2.13.2,<2.14.0a0
-  - libboost-python >=1.88.0,<1.89.0a0
-  - libglu >=9.0.3,<9.1.0a0
-  - tbb >=2023.0.0
-  - gsl >=2.8,<2.9.0a0
-  - muparser >=2.3.4,<2.4.0a0
   - xorg-libxxf86vm >=1.1.7,<2.0a0
+  - muparser >=2.3.4,<2.4.0a0
   - libgl >=1.7.0,<2.0a0
-  - occt >=7.9.3,<7.9.4.0a0
-  - gtest >=1.17.0,<1.17.1.0a0
-  - hdf4 >=4.2.15,<4.2.16.0a0
-  - poco >=1.15.3,<1.15.4.0a0
-  - libzlib >=1.3.2,<2.0a0
   - libboost >=1.88.0,<1.89.0a0
-  - jsoncpp >=1.9.6,<1.9.7.0a0
-  - numpy >=1.21,<3
+  - tbb >=2023.0.0
+  - libopenblas >=0.3.27,<1.0a0
   - xorg-libx11 >=1.8.13,<2.0a0
+  - libglu >=9.0.3,<9.1.0a0
+  - librdkafka >=2.13.2,<2.14.0a0
+  - poco >=1.15.3,<1.15.4.0a0
+  - gsl >=2.8,<2.9.0a0
+  - jsoncpp >=1.9.6,<1.9.7.0a0
   constrains:
   - matplotlib-base 3.10.*
   - pyparsing <3.3.0
   - pystog >=0.6.3
+  - plotly >=5.0.0
   license: GPL-3.0-or-later
-  size: 38819412
-  timestamp: 1787962964438
-- conda: https://conda.anaconda.org/mantid/label/nightly/linux-64/mantidqt-6.16.20260828.1750-py313h4e5e0ba_0.conda
-  sha256: 1e8f17eba6ac2981c606e3caf3813b007148e1e99e3da8b8e99e22d43be74bfc
-  md5: a7710e90de33df0e9db2715b02e559bd
+  size: 39128115
+  timestamp: 1789770099182
+- conda: https://conda.anaconda.org/mantid/label/nightly/linux-64/mantidqt-6.16.20260918.1225-py313hf47c1b5_0.conda
+  sha256: 4ea4c632c11e062b6972dc4a28943cdccd6ba842ac2cf142af31990d4f548b9b
+  md5: 353721fa875134bd3b23d62a5256af85
   depends:
-  - mantid ==6.16.20260828.1750
+  - mantid ==6.16.20260918.1225
   - matplotlib 3.10.*
   - qscintilla2 >=2.14.1
   - qtpy >=2.4,!=2.4.2
   - python 3.13.*
   - qt6-main >=6.11.1,<6.12.0a0
   - qt6-gtk-platformtheme
-  - __glibc >=2.17,<3.0.a0
   - _openmp_mutex >=4.5
+  - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - libstdcxx >=13
-  - python_abi 3.13.* *_cp313
-  - libopenblas >=0.3.27,<1.0a0
+  - qt6-main >=6.11.1,<7.0a0
+  - xorg-libxxf86vm >=1.1.7,<2.0a0
+  - qt6-gtk-platformtheme >=6.11.1,<6.12.0a0
   - tbb >=2023.0.0
   - pyqt6 >=6.11.0,<6.12.0a0
-  - mantid ==6.16.20260828.1750 np21py313he1c858e_0
-  - xorg-libxxf86vm >=1.1.7,<2.0a0
+  - mantid ==6.16.20260918.1225 np21py313h00d128e_0
+  - python_abi 3.13.* *_cp313
   - libboost >=1.88.0,<1.89.0a0
-  - qt6-gtk-platformtheme >=6.11.1,<6.12.0a0
-  - libgl >=1.7.0,<2.0a0
   - xorg-libx11 >=1.8.13,<2.0a0
+  - libgl >=1.7.0,<2.0a0
   - libboost-python >=1.88.0,<1.89.0a0
-  - qt6-main >=6.11.1,<7.0a0
+  - libopenblas >=0.3.27,<1.0a0
   license: GPL-3.0-or-later
-  size: 11052828
-  timestamp: 1787963405661
-- conda: https://conda.anaconda.org/mantid/label/nightly/linux-64/mantidworkbench-6.16.20260828.1750-py313h6f496a1_0.conda
-  sha256: bca887877e93d31b51febedc7bbc60771e6a286907bb7090d22afc9b52598de4
-  md5: 4206d1916d5c6bb2075834b783e3df32
+  size: 11344665
+  timestamp: 1789770535926
+- conda: https://conda.anaconda.org/mantid/label/nightly/linux-64/mantidworkbench-6.16.20260918.1225-py313h97147f1_0.conda
+  sha256: 5ebccc6190e9823d71b73400c378d1983b41b5361bac97c940de6a66b8a5c3ef
+  md5: 7b987f9f749d07309d12553fd84a8970
   depends:
   - ipykernel
-  - mantidqt ==6.16.20260828.1750
+  - mantidqt ==6.16.20260918.1225
   - psutil >=5.8.0
   - python 3.13.*
   - matplotlib 3.10.*
   - pyvista >=0.46
-  - pyvistaqt >=0.11.3
+  - pyvistaqt >=0.11.3,<0.13.0
   - superqt
   - qtconsole-base >5.5.0
   - pystack
   - lz4
-  - python_abi 3.13.* *_cp313
-  - libgl >=1.7.0,<2.0a0
-  - mantidqt ==6.16.20260828.1750 py313h4e5e0ba_0
-  - xorg-libx11 >=1.8.13,<2.0a0
   - xorg-libxxf86vm >=1.1.7,<2.0a0
+  - xorg-libx11 >=1.8.13,<2.0a0
+  - libgl >=1.7.0,<2.0a0
   - tbb >=2023.0.0
+  - mantidqt ==6.16.20260918.1225 py313hf47c1b5_0
+  - python_abi 3.13.* *_cp313
   constrains:
   - mslice >=2.15
-  - mantiddocs ==6.16.20260828.1750
+  - mantiddocs ==6.16.20260918.1225
   license: GPL-3.0-or-later
-  size: 1444444
-  timestamp: 1787977417488
+  size: 1455007
+  timestamp: 1789784257539
+- conda: https://conda.anaconda.org/neutrons/noarch/neutrons_standard-0.1.0-pyh4616a5c_0.conda
+  sha256: 6c5e79f414ecec0da2d3d5ff5f770f61cce38b1abc57565cf3c99ba8d8f3dfa9
+  md5: b793e56fd15b67cb438e371bae8ef373
+  depends:
+  - python >=3.10
+  - python *
+  - numpy
+  - ruamel.yaml
+  license: MIT
+  size: 12817
+  timestamp: 1775759207724
 - pypi: ./
   name: pyrs
   requires_python: '>=3.12'
@@ -13887,10 +13277,15 @@ packages:
   version: 1.1.0
   sha256: a5663118de4908c91729bea0acadca56526eb2698e83de10cd116ae0f4e97c64
   requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/b7/5e/4516280c9680e2e417fbb6c9f5c519de9d1d824b46a9feb134fdac3f47c8/regex-2026.8.31-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
+- pypi: https://files.pythonhosted.org/packages/20/3b/000c79c3f9c06b7542225a5d3a7f9a85405da7224b3b9af94a491d07abea/regex-2026.9.10-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
   name: regex
-  version: 2026.8.31
-  sha256: 15e9e862c6e905ef66ea5f019deb5ac5fdeebf8fc134ea4c7b5d5c2eb7bdcdd8
+  version: 2026.9.10
+  sha256: bafa41b0dd63669e5c0f8adf3d24819efeb73c847f492eb011212eb352e69041
+  requires_python: '>=3.10'
+- pypi: https://files.pythonhosted.org/packages/cb/f5/dcdf5e0d898024005cfcce631e3e934d111dfbe177ca0b7f253ae8a735a2/regex-2026.9.10-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
+  name: regex
+  version: 2026.9.10
+  sha256: 2e67f8843f0e4b931f1fa860bf3bbe4134b714c0155cc5c7c0d7ea450230aae0
   requires_python: '>=3.10'
 - pypi: https://files.pythonhosted.org/packages/d2/b8/f0b9b880c03a3db8eaff63d76ca751ac7d8e45483fb7a0bb9f8e5c6ce433/toml_cli-0.8.2-py3-none-any.whl
   name: toml-cli
@@ -13902,8 +13297,3 @@ packages:
   - tomlkit>=0.13.3
   - typer>=0.16.0
   requires_python: '>=3.10'
-- pypi: https://files.pythonhosted.org/packages/ea/83/7f51ce519cab3f44e026122afed7fb27f9cd06e37eeff421888cbf88e50a/regex-2026.8.31-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
-  name: regex
-  version: 2026.8.31
-  sha256: 9fe2540d8da1bbf12f7c1b909a9ae47c2b343fa2a2084280c21ead1c9fb0e6f7
-  requires_python: '>=3.10'
diff --git a/pyproject.toml b/pyproject.toml
index b9918470d..3e3f2ddbb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -69,6 +69,7 @@ channels = [
   "mantid-ornl/label/nightly",              # ORNL-specific nightly builds
   "mantid/label/main",                      # Primary source for stable Mantid releases
   "mantid/label/nightly",                   # Upstream nightly builds
+  "neutrons",                               # neutrons_standard (shared Config/Singleton/time utilities)
   "https://prefix.dev/pixi-build-backends",
 ]
 platforms = ["linux-64"]
@@ -88,6 +89,7 @@ nexusformat = ">=1.0.8,<2"
 pydantic = ">=2.7.3,<3"
 h5glance = ">=0.9,<0.10"
 py-rattler = "==0.24.0"
+neutrons_standard = "*"
 
 [tool.pixi.pypi-dependencies]
 # PyPI dependencies, including this package to allow local editable installs
@@ -108,6 +110,7 @@ pandas = "*"
 types-six = "*"
 nexusformat = ">=1.0.8,<2"
 pydantic = ">=2.7.3,<3"
+neutrons_standard = "*"
 
 
 # ------------------------------- #
@@ -117,6 +120,7 @@ pydantic = ">=2.7.3,<3"
 pytest = "*"
 pytest-qt = "*"
 pytest-cov = "*"
+pytest-timeout = "*"
 mypy = "*"
 
 [tool.pixi.feature.package.dependencies]
@@ -304,6 +308,9 @@ docs-autobuild = { cmd = "sphinx-autobuild docs/user/source docs/_build/user --h
 
 # Testing tasks
 test = { cmd = "python scripts/development/run_tests.py --cov=pyrs --cov-report=xml --cov-report=term ./tests", description = "Run the tests with coverage" }
+test-unit = { cmd = "python scripts/development/run_tests.py -m 'not integration and not gui' ./tests", description = "Run fast tests only: no file I/O, no GUI" }
+test-integration = { cmd = "python scripts/development/run_tests.py -m 'integration and not gui' ./tests", description = "Run tests that read/write real data" }
+test-gui = { cmd = "python scripts/development/run_tests.py -m gui ./tests", env = { QT_QPA_PLATFORM = "offscreen" }, description = "Run tests that drive Qt widgets (offscreen; no windows appear)" }
 test-import-framework = { cmd = "python -c 'import pyrs'; python -c 'import qtpy'; python -c 'import mantidqt'", description = "Test import of main dependencies" }
 
 # MISC
@@ -321,7 +328,19 @@ ignore_missing_imports = true
 namespace_packages = true
 
 [tool.pytest.ini_options]
-norecursedirs = ["tests/scripts/cis_tests"]
+# By-hand smoke-test scripts, never collected -- see tests/scripts/cis_tests/README.rst
+norecursedirs = ["tests/scripts"]
+addopts = "--strict-markers"
+# No test may hang. `thread` (not the `signal` default) is required: a test blocked
+# inside Qt's C++ event loop never returns to the interpreter, so SIGALRM would never
+# be delivered -- the watchdog thread dumps every thread's stack and exits instead.
+# 300s is ~7x the slowest test observed (41.8s), so it leaves ample room on slow CI.
+timeout = 300
+timeout_method = "thread"
+markers = [
+  "integration: exercises real file I/O (tests/data, /HFIR archive) or a multi-component workflow",
+  "gui: constructs or drives Qt widgets; requires a display (xvfb or offscreen)",
+]
 
 [tool.ruff]
 line-length = 119
@@ -333,7 +352,7 @@ select = ["E4", "E7", "E9", "F"]
 
 [tool.ruff.lint.per-file-ignores]
 # WARNING: there are multiple `conftest.py` files!
-"**/conftest.py" = ["F401"]
+"**/conftest.py" = ["F401", "F811"]
 
 [tool.ruff.format]
 line-ending = "lf"
diff --git a/pyrs/core/workspaces.py b/pyrs/core/workspaces.py
index 729485fd5..bdedec493 100644
--- a/pyrs/core/workspaces.py
+++ b/pyrs/core/workspaces.py
@@ -1,5 +1,6 @@
 # Data manager
 import numpy as np
+from mantid.kernel import Logger
 from pyrs.dataobjects import HidraConstants, SampleLogs  # type: ignore
 from pyrs.projectfile import HidraProjectFile  # type: ignore
 from pyrs.utilities import checkdatatypes
@@ -24,6 +25,8 @@ def __init__(self, name="hidradata"):
         # workspace name
         self._name = name
 
+        self._log = Logger(__name__)
+
         # raw counts
         self._raw_counts = dict()  # dict [sub-run] = count vector
 
@@ -120,11 +123,11 @@ def _load_reduced_diffraction_data(self, hidra_file):
         try:
             vec_2theta = hidra_file.read_diffraction_2theta_array()
         except KeyError as key_err:
-            print(
-                "[INFO] Unable to load 2theta vector from HidraProject file due to {}."
-                "It is very likely that no reduced data is recorded."
-                "".format(key_err)
-            )
+            # read_diffraction_2theta_array only raises a bare KeyError for the
+            # legitimate "no REDUCED_DATA group at all" case -- an unrecognized/
+            # unsupported schema instead raises RuntimeError, which is deliberately
+            # NOT caught here, so it propagates instead of being silently swallowed.
+            self._log.information("No reduced-diffraction data recorded in this project file ({}).".format(key_err))
             return
         # TRY-CATCH
 
@@ -171,10 +174,8 @@ def _load_reduced_diffraction_data(self, hidra_file):
             if self._var_data_set[mask_name] is None:
                 self._var_data_set[mask_name] = np.sqrt(self._diff_data_set[mask_name])
 
-        print(
-            "[INFO] Loaded diffraction data from {} includes : {}".format(
-                self._project_file_name, self._diff_data_set.keys()
-            )
+        self._log.information(
+            "Loaded diffraction data from {} includes : {}".format(self._project_file_name, self._diff_data_set.keys())
         )
 
     def _append_reduced_diffraction_data(self, hidra_file):
@@ -189,11 +190,11 @@ def _append_reduced_diffraction_data(self, hidra_file):
         try:
             vec_2theta = hidra_file.read_diffraction_2theta_array()
         except KeyError as key_err:
-            print(
-                "[INFO] Unable to load 2theta vector from HidraProject file due to {}."
-                "It is very likely that no reduced data is recorded."
-                "".format(key_err)
-            )
+            # read_diffraction_2theta_array only raises a bare KeyError for the
+            # legitimate "no REDUCED_DATA group at all" case -- an unrecognized/
+            # unsupported schema instead raises RuntimeError, which is deliberately
+            # NOT caught here, so it propagates instead of being silently swallowed.
+            self._log.information("No reduced-diffraction data recorded in this project file ({}).".format(key_err))
             return
         # TRY-CATCH
 
@@ -239,10 +240,8 @@ def _append_reduced_diffraction_data(self, hidra_file):
             if self._var_data_set[mask_name] is None:
                 self._var_data_set[mask_name] = np.sqrt(self._diff_data_set[mask_name])
 
-        print(
-            "[INFO] Loaded diffraction data from {} includes : {}".format(
-                self._project_file_name, self._diff_data_set.keys()
-            )
+        self._log.information(
+            "Loaded diffraction data from {} includes : {}".format(self._project_file_name, self._diff_data_set.keys())
         )
 
     def _load_instrument(self, hidra_file):
@@ -1048,7 +1047,7 @@ def save_experimental_data(self, hidra_project, sub_runs=None, ignore_raw_counts
                 if sub_runs is None or sub_run_i in sub_runs:
                     hidra_project.append_raw_counts(sub_run_i, self._raw_counts[sub_run_i])
                 else:
-                    print("[WARNING] sub run {} is not exported to {}".format(sub_run_i, hidra_project.name))
+                    self._log.warning("sub run {} is not exported to {}".format(sub_run_i, hidra_project.name))
                 # END-IF-ELSE
             # END-FOR
 
diff --git a/pyrs/dataobjects/fields.py b/pyrs/dataobjects/fields.py
index 462a3b67f..b6a0dc8fe 100644
--- a/pyrs/dataobjects/fields.py
+++ b/pyrs/dataobjects/fields.py
@@ -1549,7 +1549,7 @@ class StrainField(_StrainField):
 
     @staticmethod
     def fuse_strains(
-        *args: "StrainField", resolution: float = DEFAULT_POINT_RESOLUTION, criterion: str = "min_error"
+        *args: "_StrainField", resolution: float = DEFAULT_POINT_RESOLUTION, criterion: str = "min_error"
     ) -> "_StrainField":
         r"""
         Bring in together several strains measured along the same direction. Overlaps are resolved
@@ -1874,8 +1874,14 @@ def get(direction):
                 return Direction.Z
             try:
                 return Direction(str(direction).upper())
-            except KeyError:  # give clearer error message
-                raise KeyError('Cannot determine direction type from "{}"'.format(direction))
+            except ValueError:
+                # `Enum.__call__` raises `ValueError` (not `KeyError`) on a bad value, so `ValueError`
+                # is what this lookup must both catch and re-raise.  `from None` suppresses exception
+                # chaining: the caught exception ("'FOO' is not a valid Direction") says nothing this
+                # message does not, so chaining would only bury the actionable message under a
+                # "During handling of the above exception..." traceback.  Where a caught exception
+                # *does* add context, use `raise ... from <exc>` instead -- see `convertdatatypes.py`.
+                raise ValueError('Cannot determine direction type from "{}"'.format(direction)) from None
 
     @property
     def ii(self) -> str:
@@ -1971,7 +1977,9 @@ def __init__(
         poisson_ratio: float,
         stress_type: Union[StressType, str] = StressType.DIAGONAL,
     ) -> None:
-        self.stress11, self.stress22, self.stress33 = None, None, None
+        self.stress11: Optional[ScalarFieldSample] = None
+        self.stress22: Optional[ScalarFieldSample] = None
+        self.stress33: Optional[ScalarFieldSample] = None
 
         self._youngs_modulus = youngs_modulus
         self._poisson_ratio = poisson_ratio
diff --git a/pyrs/projectfile/file_object.py b/pyrs/projectfile/file_object.py
index 706e91735..efac5615c 100644
--- a/pyrs/projectfile/file_object.py
+++ b/pyrs/projectfile/file_object.py
@@ -418,14 +418,31 @@ def read_diffraction_2theta_array(self):
             1D vector for unified 2theta vector for all sub runs
             2D array for possibly various 2theta vector for each
 
+        Raises
+        ------
+        KeyError
+            If this project file's "REDUCED_DATA" group is empty -- a legitimate,
+            common case (no reduction step was ever run/saved; the group itself is
+            always created up front, regardless of whether reduction ever happens).
+        RuntimeError
+            If "REDUCED_DATA" is non-empty (e.g. has intensity datasets) but has no
+            "TWO_THETA" coordinate dataset -- the file was written with an older,
+            unsupported schema (e.g. a legacy capitalized "2Theta" key) and must be
+            re-reduced/migrated.
         """
-        if HidraConstants.TWO_THETA not in self._project_h5[HidraConstants.REDUCED_DATA]:
-            # FIXME - This is a patch for 'legacy' data.  It will be removed after codes are stable
-            tth_key = "2Theta"
-        else:
-            tth_key = HidraConstants.TWO_THETA
-
-        two_theta_vec = self._project_h5[HidraConstants.REDUCED_DATA][tth_key][()]
+        try:
+            two_theta_vec = self._project_h5[HidraConstants.REDUCED_DATA][HidraConstants.TWO_THETA][()]
+        except KeyError as key_err:
+            if len(self._project_h5[HidraConstants.REDUCED_DATA].keys()) == 0:
+                # REDUCED_DATA group exists (always created up front) but is empty:
+                # legitimately no reduced data has ever been written to this file.
+                raise
+            err_msg = (
+                'Project file {} has a non-empty "{}" entry but no "{}" coordinate dataset within it. '
+                "Its format is not up-to-date and must be re-reduced before it can be read "
+                "by this version of PyRS."
+            ).format(self._file_name, HidraConstants.REDUCED_DATA, HidraConstants.TWO_THETA)
+            raise RuntimeError("{}\nFYI: {}".format(err_msg, key_err))
 
         return two_theta_vec
 
@@ -506,15 +523,10 @@ def read_diffraction_masks(self):
         """
         masks = list(self._project_h5[HidraConstants.REDUCED_DATA].keys())
 
-        # Clean up data entry '2theta' (or '2Theta')
+        # Clean up TWO_THETA from the data entry
         if HidraConstants.TWO_THETA in masks:
             masks.remove(HidraConstants.TWO_THETA)
 
-        # FIXME - Remove when Hidra-16_Log.h5 is fixed with correction entry name as '2theta'
-        # (aka HidraConstants.TWO_THETA)
-        if "2Theta" in masks:
-            masks.remove("2Theta")
-
         # Variance datasets are stored alongside intensity datasets with a '_var' suffix
         # (e.g. 'main_var' alongside 'main').  They are not masks and must be excluded so
         # that _load_reduced_diffraction_data does not treat them as intensity entries.
diff --git a/tests/integration/pyrs/__init__.py b/pyrs/resources/__init__.py
similarity index 100%
rename from tests/integration/pyrs/__init__.py
rename to pyrs/resources/__init__.py
diff --git a/pyrs/resources/application.yml b/pyrs/resources/application.yml
new file mode 100644
index 000000000..820ce450a
--- /dev/null
+++ b/pyrs/resources/application.yml
@@ -0,0 +1,18 @@
+# Default PyRS application configuration, loaded via `neutrons_standard.Config`.
+#
+# Override an individual value by setting the `env` OS environment variable to the
+# name (or path) of a `.yml` file whose contents will be deep-merged on top of this
+# file -- see `pyrs/utilities/config.py` for how PyRS loads this.
+
+nxstress:
+  # Whether NXstress-format (.nxs) output is written.
+  enable: true
+  extension: ".nxs"
+  # Set to true once the nexusformat validator bug affecting production-case field
+  # names is resolved.
+  use_production_names: false
+
+legacy_io:
+  # Whether legacy HidraProject (.h5) output is written.
+  enable: true
+  extension: ".h5"
diff --git a/pyrs/utilities/config.py b/pyrs/utilities/config.py
new file mode 100644
index 000000000..a4877aa48
--- /dev/null
+++ b/pyrs/utilities/config.py
@@ -0,0 +1,55 @@
+"""
+NXstress / legacy-IO output configuration, backed by `neutrons_standard.Config`.
+
+Import `Config` from *this* module -- never `from neutrons_standard...import Config`
+directly anywhere else in this codebase. `neutrons_standard.init("pyrs")` must run
+before `neutrons_standard.config` is first imported (that module captures its
+`package_name` once, at that moment, from `neutrons_standard.Spec.client_package_name`);
+this module is the only place that ordering is guaranteed. A stray direct import
+elsewhere would race `init()` and silently pin `package_name` to `None` for the rest of
+the process (confirmed: this raises `ModuleNotFoundError: No module named 'None'` in
+practice, from the `_Config` singleton's constructor).
+
+The default configuration ships at `pyrs/resources/application.yml` -- this exact
+filename and location (a genuine `pyrs.resources` subpackage) is a hard requirement of
+`neutrons_standard`, not a PyRS convention. Override a value by setting the `env` OS
+environment variable to a `.yml` file name or path; its contents are deep-merged on top
+of the shipped default. See `neutrons_standard.config._Config.refresh` for the merge
+mechanics.
+
+`neutrons_standard.Config` provides no schema validation of its own (`_Config.validate`
+is a no-op) -- `validate_config` below is PyRS's own rule.
+"""
+
+import neutrons_standard
+
+neutrons_standard.init("pyrs")
+from neutrons_standard.config import Config  # noqa: E402  (import must follow init())
+
+
+def validate_config() -> None:
+    """Raise RuntimeError unless both format-enable flags are actual booleans, then
+    raise ValueError unless at least one output format is enabled.
+
+    `neutrons_standard.Config` performs no schema validation of its own -- a
+    malformed override (e.g. `enable: "false"`, a YAML string rather than a real
+    boolean) would otherwise be silently truthy and pass the check below undetected.
+
+    Raises:
+        RuntimeError: If `nxstress.enable` or `legacy_io.enable` is not a bool.
+        ValueError: If both `nxstress.enable` and `legacy_io.enable` are false --
+            PyRS must be able to write at least one output format.
+    """
+    nxstress_enable = Config["nxstress.enable"]
+    legacy_io_enable = Config["legacy_io.enable"]
+    for key, value in (("nxstress.enable", nxstress_enable), ("legacy_io.enable", legacy_io_enable)):
+        if not isinstance(value, bool):
+            raise RuntimeError('Config["{}"] must be a bool, got {} ({})'.format(key, value, type(value).__name__))
+
+    if not (nxstress_enable or legacy_io_enable):
+        raise ValueError("At least one of nxstress.enable or legacy_io.enable must be true")
+
+
+# Fail fast at import time, rather than at the first NXstress-I/O callsite that
+# happens to need a valid config.
+validate_config()
diff --git a/tests/integration/test_batch_reduction.py b/tests/integration/test_batch_reduction.py
index 8e239c9a7..008690cde 100644
--- a/tests/integration/test_batch_reduction.py
+++ b/tests/integration/test_batch_reduction.py
@@ -14,11 +14,7 @@
 import numpy as np
 import pytest
 
-from pyrs.interface.manual_reduction.manual_reduction_model import (
-    ManualReductionModel,
-    is_run_specification,
-    parse_run_numbers,
-)
+from pyrs.interface.manual_reduction.manual_reduction_model import ManualReductionModel
 
 NEXUS_DIR = "/HFIR/HB2B/IPTS-22731/nexus"
 RUN_A = 1017
@@ -34,33 +30,14 @@ def hfir_available():
 pytestmark = pytest.mark.skipif(not hfir_available(), reason="HFIR archive not accessible")
 
 
-# ---------------------------------------------------------------------------
-# parse_run_numbers / is_run_specification — pure-logic tests, no HFIR needed
-# ---------------------------------------------------------------------------
-
-
-def test_parse_run_numbers_range():
-    """A dash range is expanded to inclusive list."""
-    assert parse_run_numbers("1017-1019") == [1017, 1018, 1019]
-
-
-def test_parse_run_numbers_comma_and_range():
-    """Mixed comma and range parses correctly."""
-    assert parse_run_numbers("1017,1019-1021") == [1017, 1019, 1020, 1021]
-
-
-def test_is_run_specification_run_numbers():
-    assert is_run_specification("1017")
-    assert is_run_specification("1017-1019")
-    assert is_run_specification("1017, 1019")
-
-
-def test_is_run_specification_rejects_path():
-    assert not is_run_specification(NEXUS_A)
-
-
 # ---------------------------------------------------------------------------
 # reduce_runs — integration tests against real HB2B data
+#
+# The pure-logic tests for parse_run_numbers / is_run_specification that used to
+# live here moved to tests/unit/pyrs/interface/test_manual_reduction_runspec.py,
+# joining the near-duplicate tests of those same two functions that lived in
+# tests/ui/.  They need neither HFIR access nor a Qt display, so the whole module
+# skip below (and the `gui` tier) was hiding them for no reason.
 # ---------------------------------------------------------------------------
 
 
@@ -77,6 +54,7 @@ def model():
     return ManualReductionModel()
 
 
+@pytest.mark.integration
 def test_reduce_runs_two_files_returns_two_labels(model, output_dir):
     """reduce_runs on two NeXus files returns exactly two labels."""
     jobs = [(str(RUN_A), NEXUS_A), (str(RUN_B), NEXUS_B)]
@@ -84,6 +62,7 @@ def test_reduce_runs_two_files_returns_two_labels(model, output_dir):
     assert labels == [str(RUN_A), str(RUN_B)]
 
 
+@pytest.mark.integration
 def test_reduce_runs_stores_both_workspaces(model, output_dir):
     """Both workspaces are stored and accessible via set_current_run."""
     jobs = [(str(RUN_A), NEXUS_A), (str(RUN_B), NEXUS_B)]
@@ -96,6 +75,7 @@ def test_reduce_runs_stores_both_workspaces(model, output_dir):
         assert len(sub_runs) > 0, f"Run {label} has no sub-runs after reduction"
 
 
+@pytest.mark.integration
 def test_reduce_runs_first_run_is_current_after_reduction(model, output_dir):
     """After reduce_runs, the first run's workspace is active."""
     jobs = [(str(RUN_A), NEXUS_A), (str(RUN_B), NEXUS_B)]
@@ -106,6 +86,7 @@ def test_reduce_runs_first_run_is_current_after_reduction(model, output_dir):
     assert len(sub_runs) > 0
 
 
+@pytest.mark.integration
 def test_reduce_runs_output_files_created(model, output_dir):
     """A .h5 project file is written for each reduced run."""
     jobs = [(str(RUN_A), NEXUS_A), (str(RUN_B), NEXUS_B)]
@@ -115,6 +96,7 @@ def test_reduce_runs_output_files_created(model, output_dir):
     assert len(h5_files) == 2, f"Expected 2 .h5 files, found: {h5_files}"
 
 
+@pytest.mark.integration
 def test_reduce_runs_powder_pattern_is_sensible(model, output_dir):
     """Reduced powder pattern has finite intensities in a plausible 2theta range."""
     jobs = [(str(RUN_A), NEXUS_A)]
@@ -130,6 +112,7 @@ def test_reduce_runs_powder_pattern_is_sensible(model, output_dir):
     assert vec_2theta.min() > 40 and vec_2theta.max() < 140
 
 
+@pytest.mark.integration
 def test_reduce_runs_single_run_succeeds(model, output_dir):
     """reduce_runs works with a single-item job list."""
     jobs = [(str(RUN_A), NEXUS_A)]
@@ -138,6 +121,7 @@ def test_reduce_runs_single_run_succeeds(model, output_dir):
     assert len(model.get_sub_runs()) > 0
 
 
+@pytest.mark.integration
 def test_reduce_runs_empty_job_list(model, output_dir):
     """reduce_runs with no jobs returns an empty list and leaves no workspaces."""
     labels = model.reduce_runs([], output_dir, progressbar=None)
diff --git a/tests/unit/pyrs/core/test_d0_grid.py b/tests/integration/test_d0_grid.py
similarity index 98%
rename from tests/unit/pyrs/core/test_d0_grid.py
rename to tests/integration/test_d0_grid.py
index 790d5e755..b6bb331ef 100644
--- a/tests/unit/pyrs/core/test_d0_grid.py
+++ b/tests/integration/test_d0_grid.py
@@ -1,10 +1,13 @@
 import numpy as np
+import pytest
 
 from pyrs.dataobjects.fields import StressField
 from pyrs.dataobjects.fields import StrainField
 
 from pyrs.interface.strainstressviewer.model import Model
 
+pytestmark = pytest.mark.integration
+
 d0_default = 1.0828
 d0e_default = 0
 
diff --git a/tests/integration/test_fields.py b/tests/integration/test_fields.py
index b63e23b90..7c2449059 100644
--- a/tests/integration/test_fields.py
+++ b/tests/integration/test_fields.py
@@ -478,6 +478,7 @@ def test_interpolate_volume_scan(data_interpolate_volume_scan, allclose_with_sor
 #######################################
 
 
+@pytest.mark.integration
 def test_combine_strains_1(test_data_dir):
     r"""Combine strains along the same direction with StrainField.fuse_strains"""
     #
@@ -533,6 +534,7 @@ def data_stack_strains_1(test_data_dir):
     return strains, strain11, strain22, strain33
 
 
+@pytest.mark.integration
 def test_stack_strains_1(data_stack_strains_1):
     strains, strain11, strain22, strain33 = data_stack_strains_1
     #
@@ -570,6 +572,7 @@ def data_create_stress_1(test_data_dir):
     return strain11, strain22, strain33
 
 
+@pytest.mark.integration
 def test_create_stress_1(data_create_stress_1):
     strain11, strain22, strain33 = data_create_stress_1
     #
diff --git a/tests/integration/test_fields_from_files.py b/tests/integration/test_fields_from_files.py
new file mode 100644
index 000000000..2f8c90282
--- /dev/null
+++ b/tests/integration/test_fields_from_files.py
@@ -0,0 +1,425 @@
+"""
+Integration tests for pyrs.dataobjects.fields — split out of test_fields.py.
+
+These tests all depend on real HB2B project files via `test_data_dir` (directly, or
+via the `strain_field_samples` fixture below). See tests/unit/pyrs/dataobjects/test_fields.py
+for the in-memory unit tests of the same classes.
+"""
+
+# Standard and third party libraries
+from collections.abc import Callable
+import copy
+import numpy as np
+import os
+import pytest
+
+# PyRs libraries
+from pyrs.core.peak_profile_utility import EFFECTIVE_PEAK_PARAMETERS, get_parameter_dtype
+from pyrs.core.workspaces import HidraWorkspace
+from pyrs.dataobjects.constants import DEFAULT_POINT_RESOLUTION
+from pyrs.dataobjects.fields import (
+    StrainField,
+    StrainFieldSingle,
+    StressField,
+)
+from pyrs.peaks import PeakCollection  # type: ignore
+from tests.conftest import assert_allclose_with_sorting
+
+to_megapascal = StressField.to_megapascal
+
+DIRECTIONS = ("11", "22", "33")  # directions for the StrainField
+
+
+@pytest.fixture(scope="module")
+def strain_field_samples(test_data_dir: str) -> dict[str, StrainFieldSingle]:
+    r"""Build a set of named `StrainFieldSingle` samples, from mock and real data.
+
+    Args:
+        test_data_dir: Path to the `tests/data` directory (session fixture).
+
+    Returns:
+        A dict mapping a descriptive sample name to a `StrainFieldSingle` instance.
+        Keys used elsewhere in this module:
+            - "strain with two points per direction": a synthetic sample built from
+              an in-memory `HidraWorkspace` (no file I/O), 8 sub-runs.
+            - "HB2B_1320_peak0": read from `HB2B_1320.h5` with peak tag "peak0".
+            - "HB2B_1320_": read from `HB2B_1320.h5` with the default (empty) peak tag.
+    """
+    sample_fields = {}
+    #####
+    # The first sample has 2 points in each direction
+    #####
+    subruns = np.arange(1, 9, dtype=int)
+
+    # create the test peak collection - d-refernce is 1 to make checks easier
+    # uncertainties are all zero
+    peaks_array = np.zeros(subruns.size, dtype=get_parameter_dtype("gaussian", "Linear"))
+    peaks_array["PeakCentre"][:] = 180.0  # position of two-theta in degrees
+    peaks_array["Height"][:] = 1.0  # position of two-theta in degrees
+    peaks_error = np.zeros(subruns.size, dtype=get_parameter_dtype("gaussian", "Linear"))
+    peak_collection = PeakCollection(
+        "dummy", "gaussian", "linear", wavelength=2.0, d_reference=1.0, d_reference_error=0.0
+    )
+    peak_collection.set_peak_fitting_values(
+        subruns, peaks_array, parameter_errors=peaks_error, fit_costs=np.zeros(subruns.size, dtype=float)
+    )
+
+    # create the test workspace - only sample logs are needed
+    workspace = HidraWorkspace()
+    workspace.set_sub_runs(subruns)
+    # arbitray points in space
+    workspace.set_sample_log("vx", subruns, np.arange(1, 9, dtype=int))
+    workspace.set_sample_log("vy", subruns, np.arange(11, 19, dtype=int))
+    workspace.set_sample_log("vz", subruns, np.arange(21, 29, dtype=int))
+
+    strain = StrainFieldSingle(hidraworkspace=workspace, peak_collection=peak_collection)
+
+    assert strain
+    assert not strain.filenames
+    assert len(strain) == subruns.size
+    assert strain.peak_collections == [peak_collection]
+    np.testing.assert_almost_equal(strain.values, 0.0)
+    np.testing.assert_equal(strain.errors, np.zeros(subruns.size, dtype=float))
+    sample_fields["strain with two points per direction"] = strain
+
+    #####
+    # Create StrainField samples from two files and different peak tags
+    #####
+    # TODO: substitute/fix HB2B_1628.h5 with other data, because reported vx, vy, and vz are all 'nan'
+    # filename_tags_pairs = [('HB2B_1320.h5', ('', 'peak0')), ('HB2B_1628.h5', ('peak0', 'peak1', 'peak2'))]
+    filename_tags_pairs = [("HB2B_1320.h5", ("", "peak0"))]
+    for filename, tags in filename_tags_pairs:
+        file_path = os.path.join(test_data_dir, filename)
+        prefix = filename.split(".")[0] + "_"
+        for tag in tags:
+            sample_fields[prefix + tag] = StrainFieldSingle(filename=file_path, peak_tag=tag)
+            assert sample_fields[prefix + tag].filenames == [filename]
+
+    return sample_fields
+
+
+class TestStrainFieldSingle:
+    """Tests for `StrainFieldSingle` backed by real and synthetic HB2B data."""
+
+    @pytest.mark.integration
+    def test_get_peak_param_invalid_name_raises(self, strain_field_samples: dict[str, StrainFieldSingle]) -> None:
+        """Test that `get_effective_peak_parameter` raises `ValueError` for an unknown parameter name."""
+        strain = strain_field_samples["strain with two points per direction"]  # mock object
+
+        with pytest.raises(ValueError) as exception_info:
+            strain.get_effective_peak_parameter("impossible")
+        assert "impossible" in str(exception_info.value)
+
+    @pytest.mark.integration
+    def test_get_peak_param_supported_name(self, strain_field_samples: dict[str, StrainFieldSingle]) -> None:
+        """Test that `get_effective_peak_parameter` returns a per-point field for every known parameter name."""
+        strain = strain_field_samples["strain with two points per direction"]  # mock object
+
+        num_values = len(strain)
+        for name in EFFECTIVE_PEAK_PARAMETERS:
+            scalar_field = strain.get_effective_peak_parameter(name)
+            assert scalar_field, f"Failed to get {name}"
+            assert len(scalar_field) == num_values, f"{name} does not have correct length"
+
+
+class Test_StrainField:
+    """Tests for `StrainField` equality, using a minimal mock subclass."""
+
+    class StrainFieldMock(StrainField):
+        r"""Mocks a StrainField object overloading the initialization"""
+
+        def __init__(self, *strains: StrainFieldSingle) -> None:
+            """Store `strains` directly, bypassing `StrainField`'s normal file/fuse-based init."""
+            for s in strains:
+                assert isinstance(s, StrainFieldSingle)
+            self._strains = list(strains)
+
+    @pytest.mark.integration
+    def test_eq_matching_and_differing_strains_returns_expected_bool(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test `==` for both single-scan `StrainFieldSingle` and multi-scan `StrainField` objects."""
+        strains_single_scan = copy.deepcopy(list(strain_field_samples.values()))
+        # single-scan strains
+        assert strains_single_scan[0] == strains_single_scan[0]
+        assert (strains_single_scan[0] == strains_single_scan[1]) is False
+
+        # multi-scan scans
+        strain_multi = self.StrainFieldMock(*strains_single_scan)
+        assert strain_multi == strain_multi
+        assert (strain_multi == strains_single_scan[0]) is False
+        strain_multi_2 = self.StrainFieldMock(*strains_single_scan[:-1])  # all except the last one
+        assert (strain_multi == strain_multi_2) is False
+
+
+class TestStrainField:
+    """Tests for `StrainField` fuse/stack/export behavior, backed by real HB2B project files."""
+
+    @pytest.mark.integration
+    def test_peak_collections_property_returns_single_element_list(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `peak_collections` returns a one-element list of `PeakCollection`."""
+        strain = strain_field_samples["strain with two points per direction"]
+        assert isinstance(strain.peak_collections, list)
+        assert len(strain.peak_collections) == 1
+        assert isinstance(strain.peak_collections[0], PeakCollection)
+
+    @pytest.mark.integration
+    def test_coordinates_property_matches_sample_log_positions(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `coordinates` matches the (vx, vy, vz) sample logs used to build the strain."""
+        strain = strain_field_samples["strain with two points per direction"]
+        coordinates = np.array(
+            [
+                [1.0, 11.0, 21.0],
+                [2.0, 12.0, 22.0],
+                [3.0, 13.0, 23.0],
+                [4.0, 14.0, 24.0],
+                [5.0, 15.0, 25.0],
+                [6.0, 16.0, 26.0],
+                [7.0, 17.0, 27.0],
+                [8.0, 18.0, 28.0],
+            ]
+        )
+        assert np.allclose(strain.coordinates, coordinates)
+
+    @pytest.mark.integration
+    def test_fuse_with_two_strains_returns_merged_strain(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `fuse_with` concatenates peak collections and coordinates from both strains."""
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain2 = strain_field_samples["strain with two points per direction"]
+        strain = strain1.fuse_with(strain2)
+        assert strain.peak_collections == [strain1.peak_collections[0], strain2.peak_collections[0]]
+        assert np.allclose(strain.coordinates, np.concatenate((strain1.coordinates, strain2.coordinates)))
+        assert strain.field  # should return something
+
+        # fusing a scan with itself creates a new copy of the strain
+        assert strain.peak_collections[0] == strain1.peak_collections[0]
+
+    @pytest.mark.integration
+    def test_fuse_with_invalid_criterion_raises_value_error(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `fuse_with` rejects an unrecognized `criterion` value."""
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain2 = strain_field_samples["strain with two points per direction"]
+        with pytest.raises(ValueError, match="Unallowed value of criterion"):
+            strain1.fuse_with(strain2, criterion="bogus")
+
+    @pytest.mark.integration
+    def test_add_operator_two_strains_returns_merged_strain(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `+` is equivalent to `fuse_with` for two single-scan strains."""
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain2 = strain_field_samples["strain with two points per direction"]
+        strain = strain1 + strain2
+        assert strain.peak_collections == [strain1.peak_collections[0], strain2.peak_collections[0]]
+        assert np.allclose(strain.coordinates, np.concatenate((strain1.coordinates, strain2.coordinates)))
+
+    @pytest.mark.integration
+    def test_strain_field_init_file_without_peaks_raises_io_error(self, test_data_dir: str) -> None:
+        """Test that loading a project file with no fitted peaks raises `IOError`."""
+        # this project file doesn't have peaks in it
+        file_path = os.path.join(test_data_dir, "HB2B_1060_first3_subruns.h5")
+        with pytest.raises(IOError):
+            StrainField(file_path)
+
+    @pytest.mark.integration
+    def test_strain_field_init_from_file_returns_populated_field(self, test_data_dir: str) -> None:
+        """Test that a `StrainField` can be built directly from a project file and peak tag."""
+        file_path = os.path.join(test_data_dir, "HB2B_1320.h5")
+        strain = StrainField(filename=file_path, peak_tag="peak0")
+
+        assert strain
+        assert strain.field
+        assert strain.get_effective_peak_parameter("Center")
+
+    @pytest.mark.integration
+    def test_fuse_strains_classmethod_matches_sequential_addition(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `StrainField.fuse_strains` matches summing the same strains with `+`."""
+        # TODO HB2B_1320_peak0 and HB2B_1320_ are the same scan. We need two different scans
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain2 = strain_field_samples["HB2B_1320_"]
+        strain3 = strain_field_samples["strain with two points per direction"]
+        # Use fuse_strains().
+        strain_fused = StrainField.fuse_strains(
+            strain1, strain2, strain3, resolution=DEFAULT_POINT_RESOLUTION, criterion="min_error"
+        )
+        # the sum should give the same, since we passed default resolution and criterion options
+        strain_sum = strain1 + strain2 + strain3
+        for strain in (strain_fused, strain_sum):
+            assert len(strain) == 312 + 8  # strain1 and strain2 give strain1 because they contain the same data
+            assert strain.peak_collections == [s.peak_collections[0] for s in (strain1, strain2, strain3)]
+            values = np.concatenate((strain1.values, strain3.values))  # no strain2 because it's the same as strain1
+            assert_allclose_with_sorting(strain.values, values)
+
+    @pytest.mark.integration
+    def test_stack_overlapping_and_disjoint_strains(
+        self, strain_field_samples: dict[str, StrainFieldSingle], allclose_with_sorting: Callable[..., bool]
+    ) -> None:
+        """Test `*` (stacking) for strains with overlapping, and with disjoint, evaluation points."""
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain2 = strain_field_samples["HB2B_1320_"]
+
+        # Stack two strains having the same evaluation points.
+        strain1_stacked, strain2_stacked = strain1 * strain2  # default resolution and stacking mode
+        for strain in (strain1_stacked, strain2_stacked):
+            assert len(strain) == len(strain1)
+            assert bool(np.all(np.isfinite(strain.values))) is True  # all points are common to strain1 and strain2
+
+        # Stack two strains having completely different evaluation points.
+        strain3 = strain_field_samples["strain with two points per direction"]
+        strain2_stacked, strain3_stacked = strain2 * strain3  # default resolution and stacking mode
+        # The common list of points is the sum of the points from each strain
+        for strain in (strain2_stacked, strain3_stacked):
+            assert len(strain) == len(strain2) + len(strain3)
+
+        # verify the filenames got copied over
+        for strain_stacked, original_strain in ((strain2_stacked, strain2), (strain3_stacked, strain3)):
+            assert strain_stacked.filenames == original_strain.filenames
+
+        # There's no common point that is common to both strain2 and strain3
+        # Each stacked strain only have finite measurements on points coming from the un-stacked strain
+        for strain_stacked, original_strain in ((strain2_stacked, strain2), (strain3_stacked, strain3)):
+            finite_measurements_count = len(np.where(np.isfinite(strain_stacked.values))[0])
+            assert finite_measurements_count == len(original_strain)
+
+        # The points evaluated as 'nan' must come from the other scan
+        for strain_stacked, strain_other in ((strain2_stacked, strain3), (strain3_stacked, strain2)):
+            nan_measurements_count = len(np.where(np.isnan(strain_stacked.values))[0])
+            assert nan_measurements_count == len(strain_other)
+
+    @pytest.mark.integration
+    def test_stack_strains_unimplemented_mode_raises(self, strain_field_samples: dict[str, StrainFieldSingle]) -> None:
+        """Test that `StrainField.stack_strains` rejects the recognized-but-not-yet-implemented
+        `stack_mode="intersection"` value.
+
+        Requires two strains with genuinely different point lists: `stack_strains` has
+        a "trivial case" early return when all input point lists are already equal,
+        which would otherwise skip the mode check entirely before it's ever reached.
+        `*` (`__mul__`) always hardcodes `mode="union"`, so this path can only be
+        reached by calling the classmethod directly. A wholly unrecognized `stack_mode`
+        string (e.g. `"bogus"`) instead raises `ValueError` at an earlier validation
+        step -- a different, narrower error than this one.
+        """
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain3 = strain_field_samples["strain with two points per direction"]
+        with pytest.raises(NotImplementedError, match="is not currently supported"):
+            StrainField.stack_strains(strain1, strain3, stack_mode="intersection")
+
+    @pytest.mark.integration
+    def test_fuse_then_stack_strains(
+        self, strain_field_samples: dict[str, StrainFieldSingle], allclose_with_sorting: Callable[..., bool]
+    ) -> None:
+        """Test that stacking a strain against a fused pair matches fusing then stacking, point-for-point."""
+        # TODO HB2B_1320_peak0 and HB2B_1320_ are the same scan. We need two different scans
+        strain1 = strain_field_samples["HB2B_1320_peak0"]
+        strain2 = strain_field_samples["HB2B_1320_"]
+        strain3 = strain_field_samples["strain with two points per direction"]
+        strain1_stacked, strain23_stacked = strain1 * (strain2 + strain3)  # default resolution and stacking mode
+        # Check number of points with finite strains measuments
+        for strain_stacked in (strain1_stacked, strain23_stacked):
+            assert len(strain_stacked) == len(strain2) + len(strain3)
+        for strain_stacked, finite_count, nan_count in zip((strain1_stacked, strain23_stacked), (312, 320), (8, 0)):
+            finite_measurements_count = len(np.where(np.isfinite(strain_stacked.values))[0])
+            assert finite_measurements_count == finite_count
+            nan_measurements_count = len(np.where(np.isnan(strain_stacked.values))[0])
+            assert nan_measurements_count == nan_count
+        # Check peak collections carry-over
+        assert strain1_stacked.peak_collections[0] == strain1.peak_collections[0]
+        assert strain23_stacked.peak_collections == [strain2.peak_collections[0], strain3.peak_collections[0]]
+
+    @pytest.mark.integration
+    def test_to_md_histo_workspace_returns_expected_bin_geometry(
+        self, strain_field_samples: dict[str, StrainFieldSingle]
+    ) -> None:
+        """Test that `to_md_histo_workspace` produces an MDHistoWorkspace with the expected bin geometry."""
+        strain = strain_field_samples["HB2B_1320_peak0"]
+        histo = strain.to_md_histo_workspace(method="linear", resolution=DEFAULT_POINT_RESOLUTION)
+        assert histo.id() == "MDHistoWorkspace"
+        minimum_values = (-31.76, -7.20, -15.00)  # bin boundary with the smallest coordinate along X, Y, and Z
+        maximum_values = (31.76, 7.20, 15.00)  # bin boundary with the largest coordinate along X, Y, and Z
+        bin_counts = (18, 6, 3)  # number of bins along  X, Y, and Z
+        for i, (min_value, max_value, bin_count) in enumerate(zip(minimum_values, maximum_values, bin_counts)):
+            dimension = histo.getDimension(i)
+            assert dimension.getUnits() == "mm"
+            assert dimension.getMinimum() == pytest.approx(min_value, abs=0.01)
+            assert dimension.getMaximum() == pytest.approx(max_value, abs=0.01)
+            assert dimension.getNBins() == bin_count
+
+
+@pytest.mark.integration
+def test_stress_field_identical_strains(test_data_dir: str) -> None:
+    """Test `StressField` computed from three identical strains loaded from a real project file."""
+    HB2B_1320_PROJECT = os.path.join(test_data_dir, "HB2B_1320.h5")
+    YOUNG = 200.0
+    POISSON = 0.3
+
+    # create 3 strain objects
+    sample11 = StrainField(HB2B_1320_PROJECT)
+    sample22 = StrainField(HB2B_1320_PROJECT)
+    sample33 = StrainField(HB2B_1320_PROJECT)
+    # create the stress field (with very uninteresting values
+    stress = StressField(sample11, sample22, sample33, YOUNG, POISSON)
+
+    # confirm the strains are unchanged
+    for direction in DIRECTIONS:
+        stress.select(direction)
+        assert stress.strain is not None  # guaranteed non-None immediately after select()
+        np.testing.assert_allclose(
+            stress.strain.values,
+            sample11.peak_collections[0].get_strain(units="microstrain")[0],
+            atol=1,
+            err_msg=f"strain direction {direction}",
+        )
+
+    # calculate the values for stress
+    strains = sample11.peak_collections[0].get_strain(units="microstrain")[0]
+    stress_exp = strains + POISSON * (strains + strains + strains) / (1.0 - 2.0 * POISSON)
+    stress_exp *= YOUNG / (1.0 + POISSON)
+
+    # since all of the contributing strains are identical, everything else should match
+    for direction in DIRECTIONS:
+        stress.select(direction)
+        np.testing.assert_equal(stress.point_list.coordinates, sample11.point_list.coordinates)
+        np.testing.assert_allclose(
+            stress.values, to_megapascal(stress_exp), atol=1, err_msg=f"stress direction {direction}"
+        )
+
+    assert stress.stress11 is not None  # populated by StressField.__init__
+    stress11 = stress.stress11.values
+    print(stress11)
+    assert np.all(np.logical_not(np.isnan(stress11)))  # confirm something was set
+
+    # redo the calculation - this should change nothing
+    stress.update_stress_calculation()
+    assert stress.stress11 is not None
+    np.testing.assert_equal(stress.stress11.values, stress11)
+
+    # set the d-reference and see that the values are changed
+    stress.set_d_reference((42.0, 0.0))
+    assert stress.stress11 is not None
+    assert np.all(stress.stress11.values != stress11)
+
+
+@pytest.mark.integration
+def test_stress_field_select_invalid_direction(test_data_dir: str) -> None:
+    """Test that `StressField.select` rejects an unrecognized direction string."""
+    HB2B_1320_PROJECT = os.path.join(test_data_dir, "HB2B_1320.h5")
+    YOUNG = 200.0
+    POISSON = 0.3
+
+    sample11 = StrainField(HB2B_1320_PROJECT)
+    sample22 = StrainField(HB2B_1320_PROJECT)
+    sample33 = StrainField(HB2B_1320_PROJECT)
+    stress = StressField(sample11, sample22, sample33, YOUNG, POISSON)
+
+    with pytest.raises(ValueError, match="Cannot determine direction type"):
+        stress.select("bogus")
diff --git a/tests/unit/pyrs/projectfile/test_file_object.py b/tests/integration/test_file_object.py
similarity index 86%
rename from tests/unit/pyrs/projectfile/test_file_object.py
rename to tests/integration/test_file_object.py
index 3918f17e9..1e1c2cce6 100644
--- a/tests/unit/pyrs/projectfile/test_file_object.py
+++ b/tests/integration/test_file_object.py
@@ -10,6 +10,8 @@
 from pyrs.peaks import PeakCollection  # type: ignore
 from pyrs.projectfile import HidraProjectFile, HidraProjectFileMode  # type: ignore
 
+pytestmark = pytest.mark.integration
+
 
 def assert_allclose_structured_numpy_arrays(expected, calculated):
     if expected.dtype.names != calculated.dtype.names:
@@ -223,6 +225,70 @@ def test_reduced_diffraction_masks_excludes_variance_datasets(self, tmpdir):
             "Variance readback matches sqrt(intensity) -- the stored variance was not used"
         )
 
+    def test_read_2theta_empty_group_raises_key_error(self, tmpdir):
+        """A project file with no reduced-diffraction data at all is a legitimate,
+        common case (e.g. saved before any reduction step) -- read_diffraction_2theta_array
+        must still raise KeyError for it, and loading such a file into a HidraWorkspace
+        must succeed silently (no reduced-diffraction data populated), not raise.
+        """
+        from pyrs.core.workspaces import HidraWorkspace
+
+        test_file = str(tmpdir.join("test_no_reduced_data.h5"))
+
+        pf_write = HidraProjectFile(test_file, HidraProjectFileMode.OVERWRITE)
+        pf_write.append_raw_counts(1, np.zeros(4))
+        pf_write.append_experiment_log(HidraConstants.SUB_RUNS, np.array([1]))
+        # note: write_reduced_diffraction_data_set is deliberately never called
+        pf_write.save(verbose=False)
+
+        pf_read = HidraProjectFile(test_file, HidraProjectFileMode.READONLY)
+        with pytest.raises(KeyError):
+            pf_read.read_diffraction_2theta_array()
+
+        # loading into a workspace must not raise -- this is the legitimate "no data" case
+        ws = HidraWorkspace("test")
+        ws.load_hidra_project(pf_read, load_raw_counts=False, load_reduced_diffraction=True)
+        assert ws._diff_data_set == {}
+
+    def test_read_2theta_bad_schema_raises_runtime_error(self, tmpdir):
+        """A REDUCED_DATA group present without a TWO_THETA coordinate dataset (e.g. an
+        older, unsupported schema) must fail clearly, not be silently treated as "no
+        reduced data" -- regression test for the bug where a raw KeyError from either
+        cause was caught identically by the HidraWorkspace loader.
+        """
+        import h5py
+
+        from pyrs.core.workspaces import HidraWorkspace
+
+        test_file = str(tmpdir.join("test_unrecognized_schema.h5"))
+
+        n_subruns = 1
+        n_bins = 10
+        two_theta = np.tile(np.linspace(80.0, 95.0, n_bins), (n_subruns, 1))
+        intensity = np.random.default_rng(0).uniform(0.0, 1000.0, (n_subruns, n_bins))
+
+        pf_write = HidraProjectFile(test_file, HidraProjectFileMode.OVERWRITE)
+        pf_write.append_raw_counts(1, np.zeros(4))
+        pf_write.append_experiment_log(HidraConstants.SUB_RUNS, np.arange(1, n_subruns + 1))
+        pf_write.write_reduced_diffraction_data_set(two_theta, {None: intensity}, None)
+        pf_write.save(verbose=False)
+
+        # simulate an older/unsupported schema by removing the TWO_THETA coordinate
+        # dataset directly, leaving the rest of REDUCED_DATA (the intensity dataset) intact
+        with h5py.File(test_file, "r+") as raw_h5:
+            del raw_h5[HidraConstants.REDUCED_DATA][HidraConstants.TWO_THETA]
+
+        pf_read = HidraProjectFile(test_file, HidraProjectFileMode.READONLY)
+        with pytest.raises(RuntimeError, match="not up-to-date"):
+            pf_read.read_diffraction_2theta_array()
+
+        # loading into a workspace must propagate the same clear error, not silently
+        # report "no reduced data" while actually dropping real (unreadable) data
+        pf_read2 = HidraProjectFile(test_file, HidraProjectFileMode.READONLY)
+        ws = HidraWorkspace("test")
+        with pytest.raises(RuntimeError, match="not up-to-date"):
+            ws.load_hidra_project(pf_read2, load_raw_counts=False, load_reduced_diffraction=True)
+
     def test_wave_length_rw(self):
         """Test writing and reading for wave length
 
diff --git a/tests/integration/test_load_split.py b/tests/integration/test_load_split.py
index c59c2bccb..b55accc2f 100644
--- a/tests/integration/test_load_split.py
+++ b/tests/integration/test_load_split.py
@@ -6,6 +6,8 @@
 import os
 import pytest
 
+pytestmark = pytest.mark.integration
+
 FILE_1017 = "/HFIR/HB2B/IPTS-22731/nexus/HB2B_1017.ORIG.nxs.h5"
 
 
diff --git a/tests/integration/test_manual_reduction_ui.py b/tests/integration/test_manual_reduction_ui.py
index 7ef6dba3a..02bcfbe1f 100644
--- a/tests/integration/test_manual_reduction_ui.py
+++ b/tests/integration/test_manual_reduction_ui.py
@@ -9,6 +9,7 @@
 import h5py
 
 
+@pytest.mark.integration
 def test_default_calibration_file():
     """Test to find current/latest calibration file
 
@@ -46,6 +47,7 @@ def test_default_calibration_file():
     ],
     ids=("HB2B_1017_NoCal_NoMask", "HB2B_1017_NoCal_Mask", "HB2B_1017_Cal_Mask"),
 )
+@pytest.mark.integration
 def test_manual_reduction(nexus_file, calibration_file, mask_file, gold_file):
     """Test the workflow to do manual reduction.
 
@@ -103,6 +105,7 @@ def test_manual_reduction(nexus_file, calibration_file, mask_file, gold_file):
             os.remove(filename)
 
 
+@pytest.mark.integration
 def test_reduction_with_vanadium():
     """Test manual reduction workflow with vanadium correction
 
@@ -136,6 +139,7 @@ def test_reduction_with_vanadium():
     assert test_ws
 
 
+@pytest.mark.integration
 def test_load_split():
     """Test method to load, split, convert to powder pattern and save
 
@@ -183,6 +187,7 @@ def test_load_split():
     assert abs(controller.get_sample_log_value("2theta", 3) - 97.50225) < 1e-5
 
 
+@pytest.mark.integration
 def test_diffraction_pattern_geometry_shift():
     """
 
diff --git a/tests/integration/test_peak_fitting.py b/tests/integration/test_peak_fitting.py
index a87193241..b114f4b5b 100644
--- a/tests/integration/test_peak_fitting.py
+++ b/tests/integration/test_peak_fitting.py
@@ -15,6 +15,8 @@
 import os
 import shutil
 
+pytestmark = pytest.mark.integration
+
 
 # Named tuple for peak information
 PeakInfo = namedtuple("PeakInfo", "center left_bound right_bound tag")
@@ -451,7 +453,7 @@ def test_write_csv():
             ",311_chisq",
         ),
         (
-            "data/HB2B_938_peak.h5",
+            "tests/data/HB2B_938_peak.h5",
             "HB2B_938.csv",
             EXPECTED_HEADER_938,
             1,
diff --git a/tests/unit/pyrs/calibration/test_peakfit_calibration.py b/tests/integration/test_peakfit_calibration.py
similarity index 99%
rename from tests/unit/pyrs/calibration/test_peakfit_calibration.py
rename to tests/integration/test_peakfit_calibration.py
index c9a9a3e99..0d97a1357 100644
--- a/tests/unit/pyrs/calibration/test_peakfit_calibration.py
+++ b/tests/integration/test_peakfit_calibration.py
@@ -13,6 +13,8 @@
 except ImportError as e:
     least_squares = str(e)  # import failed exception explains why
 
+pytestmark = pytest.mark.integration
+
 
 def are_equivalent_jsons(test_json_name, gold_json_name, atol):
     """Print out the difference of two JSON files
diff --git a/tests/integration/test_powder_pattern.py b/tests/integration/test_powder_pattern.py
index 386db6dc3..c95d94a38 100644
--- a/tests/integration/test_powder_pattern.py
+++ b/tests/integration/test_powder_pattern.py
@@ -11,6 +11,8 @@
 from pyrs.core.reduction_manager import HB2BReductionManager
 import pytest
 
+pytestmark = pytest.mark.integration
+
 
 def parse_gold_file(file_name):
     """
diff --git a/tests/integration/test_project_file_rw.py b/tests/integration/test_project_file_rw.py
index 955e15762..c93236b43 100644
--- a/tests/integration/test_project_file_rw.py
+++ b/tests/integration/test_project_file_rw.py
@@ -4,6 +4,8 @@
 import os
 import pytest
 
+pytestmark = pytest.mark.integration
+
 
 def test_read_write_merged_project_file():
     """
diff --git a/tests/unit/pyrs/core/test_pyrscore.py b/tests/integration/test_pyrscore.py
similarity index 96%
rename from tests/unit/pyrs/core/test_pyrscore.py
rename to tests/integration/test_pyrscore.py
index ac2b7c285..33fa7ab40 100644
--- a/tests/unit/pyrs/core/test_pyrscore.py
+++ b/tests/integration/test_pyrscore.py
@@ -3,6 +3,8 @@
 from pyrs.core import pyrscore
 import pytest
 
+pytestmark = pytest.mark.integration
+
 
 def broken_test_pole_figure_calculation():
     """
@@ -26,6 +28,15 @@ def broken_test_pole_figure_calculation():
     assert test_data_set
 
 
+@pytest.mark.xfail(
+    reason="tests/data/Hidra_16-1_cor_log.h5 uses the legacy capitalized '2Theta' "
+    "coordinate key, which read_diffraction_2theta_array() no longer supports (it now "
+    "raises a clear 'unsupported schema' RuntimeError instead of silently skipping "
+    "reduced-diffraction data). This file needs migration to the current '2theta' "
+    "schema -- deferred to a separate follow-up.",
+    raises=RuntimeError,
+    strict=True,
+)
 def test_main():
     """
     test main
diff --git a/tests/integration/test_reduction.py b/tests/integration/test_reduction.py
index e1a4fe40f..af23f0769 100644
--- a/tests/integration/test_reduction.py
+++ b/tests/integration/test_reduction.py
@@ -1,5 +1,6 @@
 import json
 import os
+from pathlib import Path
 from mantid.simpleapi import LoadEventNexus
 from pyrs.core.nexus_conversion import NeXusConvertingApp, DEFAULT_KEEP_LOGS
 from pyrs.core.powder_pattern import ReductionApp
@@ -10,6 +11,8 @@
 import numpy as np
 import pytest
 
+pytestmark = pytest.mark.integration
+
 DIAGNOSTIC_PLOTS = False
 
 
@@ -268,7 +271,12 @@ def test_reduce_data(mask_file_name, filtered_counts, histogram_counts):
     ],
     ids=("HB2B_1017_Masked", "HB2B_1017_NoMask"),
 )
-def test_reduce_method_data(mask_file_name, filtered_counts, histogram_counts):
+def test_reduce_method_data_valid_nexus_writes_diffraction_files(
+    mask_file_name: str | None,
+    filtered_counts: tuple[int, int, int],
+    histogram_counts: tuple[float, float, float],
+    tmp_path: Path,
+) -> None:
     """Verify NeXus converters including counts and sample log values"""
     SUBRUNS = (1, 2, 3)
     CENTERS = (69.99525, 80.0, 97.50225)
@@ -327,22 +335,27 @@ def test_reduce_method_data(mask_file_name, filtered_counts, histogram_counts):
     live_reducer.reduce_data(sub_runs=None, instrument_file=None, calibration_file=None, mask=None, num_bins=1000)
 
     # check ranges and total counts
-    for sub_run, angle, total_counts in zip(SUBRUNS, CENTERS, histogram_counts):
+    for sub_run, angle, total_intensity in zip(SUBRUNS, CENTERS, histogram_counts):
         assert_label = "mismatch in subrun={} for histogrammed data".format(sub_run)
         x, y, e = reducer.get_diffraction_data(sub_run)
         assert x[0] < angle < x[-1], assert_label
         # assert np.isnan(np.sum(y[1:])), assert_label
-        np.testing.assert_almost_equal(np.nansum(y), total_counts, decimal=1, err_msg=assert_label)
+        np.testing.assert_almost_equal(np.nansum(y), total_intensity, decimal=1, err_msg=assert_label)
 
     # check ranges and total counts
-    for sub_run, angle, total_counts in zip(SUBRUNS, CENTERS, histogram_counts):
+    for sub_run, angle, total_intensity in zip(SUBRUNS, CENTERS, histogram_counts):
         assert_label = "mismatch in subrun={} for histogrammed data".format(sub_run)
         x, y, e = live_reducer.get_diffraction_data(sub_run)
         assert x[0] < angle < x[-1], assert_label
         # assert np.isnan(np.sum(y[1:])), assert_label
-        np.testing.assert_almost_equal(np.nansum(y), total_counts, decimal=1, err_msg=assert_label)
-    reducer.save_diffraction_data("testing.h5")
-    live_reducer.save_diffraction_data("testing2.h5")
+        np.testing.assert_almost_equal(np.nansum(y), total_intensity, decimal=1, err_msg=assert_label)
+    testing_file = tmp_path / "testing.h5"
+    reducer.save_diffraction_data(str(testing_file))
+    assert testing_file.exists(), "reducer.save_diffraction_data did not write a file"
+
+    testing2_file = tmp_path / "testing2.h5"
+    live_reducer.save_diffraction_data(str(testing2_file))
+    assert testing2_file.exists(), "live_reducer.save_diffraction_data did not write a file"
 
 
 def test_split_log_time_average():
diff --git a/tests/integration/test_texture_reduction.py b/tests/integration/test_texture_reduction.py
index 68592f365..36ad30508 100644
--- a/tests/integration/test_texture_reduction.py
+++ b/tests/integration/test_texture_reduction.py
@@ -9,6 +9,8 @@
 import pytest
 import os
 
+pytestmark = pytest.mark.integration
+
 DATA_DIR = "tests/data/"
 
 
diff --git a/tests/integration/test_write_stress_csv.py b/tests/integration/test_write_stress_csv.py
index 8641e28cd..392d7dfaa 100644
--- a/tests/integration/test_write_stress_csv.py
+++ b/tests/integration/test_write_stress_csv.py
@@ -3,8 +3,6 @@
 import pandas as pd
 from pandas.testing import assert_frame_equal
 
-from pyrs.peaks import PeakCollectionLite  # type: ignore
-from pyrs.dataobjects.sample_logs import PointList
 from pyrs.dataobjects.fields import StressField
 from pyrs.dataobjects.fields import StrainField
 from pyrs.core.stress_facade import StressFacade
@@ -18,57 +16,14 @@ def compare_csv(file1, file2):
     assert_frame_equal(df1, df2, check_exact=False, rtol=1e-5)
 
 
-def strain_instantiator(name, values, errors, x, y, z):
-    return StrainField(
-        name,
-        peak_collection=PeakCollectionLite(name, strain=values, strain_error=errors),
-        point_list=PointList([x, y, z]),
-    )
-
-
-def test_write_csv_empty_strain_filenames():
-    with pytest.raises(RuntimeError) as exception_info:
-        # strain that doesn't come from a project file
-        X = [0.000, 1.000, 2.000, 3.000, 4.000, 5.000, 6.000, 7.000, 8.000, 9.000]
-        Y = [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
-        Z = [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
-
-        strain11 = strain_instantiator(
-            "strain",
-            [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.080, 0.009],
-            [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009],
-            X,
-            Y,
-            Z,
-        )
-        strain22 = strain_instantiator(
-            "strain",
-            [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.080, 0.009],
-            [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009],
-            X,
-            Y,
-            Z,
-        )
-        strain33 = strain_instantiator(
-            "strain",
-            [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.080, 0.009],
-            [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009],
-            X,
-            Y,
-            Z,
-        )
-
-        stress = StressField(strain11, strain22, strain33, 200, 0.3)
-        SummaryGeneratorStress("dummy.csv", stress)
-        assert "StrainField filenames in direction " in str(exception_info.value)
-
-
-def test_write_csv_none_stress():
-    with pytest.raises(RuntimeError) as exception_info:
-        SummaryGeneratorStress("dummy.csv", None)
-        assert "Error: stress input must be of type StressField" in str(exception_info.value)
+# test_write_csv_empty_strain_filenames and test_write_csv_none_stress moved to
+# tests/unit/pyrs/core/test_summary_generator_stress.py.  Both build their strains
+# from in-memory PeakCollectionLite objects and only assert that
+# SummaryGeneratorStress.__init__ rejects bad input, so they read no project file
+# and do not belong in the `integration` tier.
 
 
+@pytest.mark.integration
 def test_write_csv_incorrect_filename(test_data_dir: str):
     with pytest.raises(RuntimeError) as exception_info:
         sample11 = StrainField(test_data_dir + "/HB2B_1320.h5")
@@ -87,6 +42,7 @@ def test_write_csv_incorrect_filename(test_data_dir: str):
     [([1320, 1320, 1320], EXPECTED_FILE_SUMMARY_CSV_1320)],
     ids=["HB2B_1320_SUMMARY_CSV"],
 )
+@pytest.mark.integration
 def test_write_summary_csv(test_data_dir: str, project_tags: str, expected_file: str):
     sample11 = StrainField(test_data_dir + "/HB2B_{}.h5".format(project_tags[0]))
     sample22 = StrainField(test_data_dir + "/HB2B_{}.h5".format(project_tags[1]))
@@ -115,6 +71,7 @@ def test_write_summary_csv(test_data_dir: str, project_tags: str, expected_file:
     [([1320, 1320], EXPECTED_FILE_SUMMARY_CSV_1320_33Calculated)],
     ids=["HB2B_1320_SUMMARY_CSV_33INPLAINSTRAIN"],
 )
+@pytest.mark.integration
 def test_write_summary_33calculated_csv(test_data_dir: str, project_tags: str, expected_file: str):
     sample11 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[0]) + ".h5")
     sample22 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[1]) + ".h5")
@@ -141,6 +98,7 @@ def test_write_summary_33calculated_csv(test_data_dir: str, project_tags: str, e
     [([1320, 1320], EXPECTED_FILE_SUMMARY_CSV_1320_33Calculated)],
     ids=["HB2B_1320_SUMMARY_CSV_33INPLAINSTRESS"],
 )
+@pytest.mark.integration
 def test_write_summary_33inplanestress_csv(test_data_dir: str, project_tags: str, expected_file: str):
     sample11 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[0]) + ".h5")
     sample22 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[1]) + ".h5")
@@ -157,6 +115,7 @@ def test_write_summary_33inplanestress_csv(test_data_dir: str, project_tags: str
     remove(stress_csv_filename)
 
 
+@pytest.mark.integration
 def test_write_summary_33calculated_nan_csv(test_data_dir: str):
     sample11 = StrainField(test_data_dir + "/HB2B_1331.h5", peak_tag="peak0")
     sample22 = StrainField(test_data_dir + "/HB2B_1332.h5", peak_tag="peak0")
@@ -178,6 +137,7 @@ def test_write_summary_33calculated_nan_csv(test_data_dir: str):
 @pytest.mark.parametrize(
     "project_tags, expected_file", [([1320, 1320, 1320], EXPECTED_FILE_FULL_CSV_1320)], ids=["HB2B_1320_FULL_CSV"]
 )
+@pytest.mark.integration
 def test_write_full_csv(test_data_dir: str, project_tags: str, expected_file: str):
     sample11 = StrainField(test_data_dir + "/HB2B_{}.h5".format(project_tags[0]))
     sample22 = StrainField(test_data_dir + "/HB2B_{}.h5".format(project_tags[1]))
@@ -204,6 +164,7 @@ def test_write_full_csv(test_data_dir: str, project_tags: str, expected_file: st
     [([1320, 1320], EXPECTED_FILE_FULL_CSV_1320_33Calculated)],
     ids=["HB2B_1320_FULL_CSV_33Calculated"],
 )
+@pytest.mark.integration
 def test_write_full_33calculated_csv(test_data_dir: str, project_tags: str, expected_file: str):
     sample11 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[0]) + ".h5")
     sample22 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[1]) + ".h5")
@@ -228,6 +189,7 @@ def test_write_full_33calculated_csv(test_data_dir: str, project_tags: str, expe
     [([1320, 1320], EXPECTED_FILE_FULL_CSV_1320_33Calculated)],
     ids=["HB2B_1320_FULL_CSV_33INPLAINSTRESS"],
 )
+@pytest.mark.integration
 def test_write_full_33inplanestress_csv(test_data_dir: str, project_tags: str, expected_file: str):
     sample11 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[0]) + ".h5")
     sample22 = StrainField(test_data_dir + "/HB2B_" + str(project_tags[1]) + ".h5")
@@ -244,6 +206,7 @@ def test_write_full_33inplanestress_csv(test_data_dir: str, project_tags: str, e
     remove(stress_csv_filename)
 
 
+@pytest.mark.integration
 def test_write_full_33calculated_nan_csv(test_data_dir: str):
     sample11 = StrainField(test_data_dir + "/HB2B_1331.h5", peak_tag="peak0")
     sample22 = StrainField(test_data_dir + "/HB2B_1332.h5", peak_tag="peak0")
diff --git a/tests/plot_sample_points.py b/tests/plot_sample_points.py
deleted file mode 100644
index 032e4b186..000000000
--- a/tests/plot_sample_points.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from mpl_toolkits.mplot3d import Axes3D  # noqa: F401
-import matplotlib.pyplot as plt
-import os
-from pyrs.dataobjects.fields import StrainField
-
-test_data_dir = "/home/jbq/repositories/pyrs/pyrs1/tests/data"
-
-
-def plot_sample_points(*files):
-    fig = plt.figure()
-    ax = fig.add_subplot(111, projection="3d")
-
-    for file in files:
-        strain = StrainField(filename=os.path.join(test_data_dir, file), peak_tag="peak0")
-        ax.scatter(strain.x, strain.y, strain.z)
-
-    ax.set_xlabel("X Label")
-    ax.set_ylabel("Y Label")
-    ax.set_zlabel("Z Label")
-    plt.legend(files)
-    plt.show()
-
-
-plot_sample_points("HB2B_1327.h5", "HB2B_1328.h5", "HB2B_1331.h5", "HB2B_1332.h5")
diff --git a/tests/scripts/cis_tests/plot_sample_points.py b/tests/scripts/cis_tests/plot_sample_points.py
new file mode 100644
index 000000000..a9e7c2597
--- /dev/null
+++ b/tests/scripts/cis_tests/plot_sample_points.py
@@ -0,0 +1,46 @@
+"""
+tests/scripts/cis_tests/plot_sample_points.py
+
+Smoke-test / "by hand" script for visually inspecting the sample-point
+coordinates stored in HiDRA project files.
+
+Loads one ``StrainField`` per project file from ``tests/data`` and plots each
+file's (x, y, z) sample positions as a 3-D scatter, so that overlapping and
+disjoint scans can be compared at a glance.
+
+Usage
+-----
+    python tests/scripts/cis_tests/plot_sample_points.py
+
+Edit the file list in the ``__main__`` block below to plot a different set.
+"""
+
+import os
+from pathlib import Path
+
+from mpl_toolkits.mplot3d import Axes3D  # noqa: F401
+import matplotlib.pyplot as plt
+
+from pyrs.dataobjects.fields import StrainField
+
+# tests/scripts/cis_tests/ -> tests/data
+test_data_dir = str(Path(__file__).resolve().parents[2] / "data")
+
+
+def plot_sample_points(*files):
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection="3d")
+
+    for file in files:
+        strain = StrainField(filename=os.path.join(test_data_dir, file), peak_tag="peak0")
+        ax.scatter(strain.x, strain.y, strain.z)
+
+    ax.set_xlabel("X Label")
+    ax.set_ylabel("Y Label")
+    ax.set_zlabel("Z Label")
+    plt.legend(files)
+    plt.show()
+
+
+if __name__ == "__main__":
+    plot_sample_points("HB2B_1327.h5", "HB2B_1328.h5", "HB2B_1331.h5", "HB2B_1332.h5")
diff --git a/tests/ui/test_calibration_ui.py b/tests/ui/test_calibration_ui.py
index bc4632a76..2887845ad 100644
--- a/tests/ui/test_calibration_ui.py
+++ b/tests/ui/test_calibration_ui.py
@@ -9,6 +9,8 @@
 # import json
 import pytest
 
+pytestmark = [pytest.mark.gui, pytest.mark.integration]
+
 wait = 200
 plot_wait = 100
 
diff --git a/tests/ui/test_manual_reduction.py b/tests/ui/test_manual_reduction.py
index c245442e5..bda36f6b8 100644
--- a/tests/ui/test_manual_reduction.py
+++ b/tests/ui/test_manual_reduction.py
@@ -6,6 +6,7 @@
 matplotlib.use("Agg")
 from pyrs.interface.manual_reduction import manualreductionwindow  # noqa E402
 
+pytestmark = [pytest.mark.gui, pytest.mark.integration]
 
 wait = 100
 
diff --git a/tests/ui/test_manual_reduction_runspec.py b/tests/ui/test_manual_reduction_runspec.py
deleted file mode 100644
index 61873ef9e..000000000
--- a/tests/ui/test_manual_reduction_runspec.py
+++ /dev/null
@@ -1,50 +0,0 @@
-"""Unit tests for the manual-reduction run-number specification parser."""
-
-import pytest
-
-from pyrs.interface.manual_reduction.manual_reduction_model import is_run_specification, parse_run_numbers
-
-
-def test_parse_run_numbers_single():
-    """A single run number parses to a one-element list."""
-    assert parse_run_numbers("938") == [938]
-
-
-def test_parse_run_numbers_dash_range_is_inclusive():
-    """A dash range includes both endpoints."""
-    assert parse_run_numbers("938-940") == [938, 939, 940]
-
-
-def test_parse_run_numbers_comma_list():
-    """Comma-separated runs parse in order."""
-    assert parse_run_numbers("938,945,950") == [938, 945, 950]
-
-
-def test_parse_run_numbers_mixed_range_and_list():
-    """Ranges and individual runs can be combined and spaces are ignored."""
-    assert parse_run_numbers("938-940, 945") == [938, 939, 940, 945]
-
-
-def test_parse_run_numbers_trailing_comma_ignored():
-    """Empty tokens from stray commas are skipped."""
-    assert parse_run_numbers("938,,940") == [938, 940]
-
-
-def test_parse_run_numbers_invalid_raises():
-    """A non-integer token raises ValueError."""
-    with pytest.raises(ValueError):
-        parse_run_numbers("938-abc")
-
-
-def test_is_run_specification_accepts_run_specs():
-    """Digit/dash/comma strings are recognized as run specs."""
-    assert is_run_specification("938")
-    assert is_run_specification("938-940,945")
-    assert is_run_specification(" 938 - 940 ")
-
-
-def test_is_run_specification_rejects_paths_and_empty():
-    """File paths and empty input are not run specs."""
-    assert not is_run_specification("tests/data/HB2B_938.nxs.h5")
-    assert not is_run_specification("")
-    assert not is_run_specification("   ")
diff --git a/tests/ui/test_merge_projectfiles.py b/tests/ui/test_merge_projectfiles.py
index 068b56237..839891e31 100644
--- a/tests/ui/test_merge_projectfiles.py
+++ b/tests/ui/test_merge_projectfiles.py
@@ -7,6 +7,8 @@
 import os
 import pytest
 
+pytestmark = [pytest.mark.gui, pytest.mark.integration]
+
 wait = 500
 plot_wait = 100
 
diff --git a/tests/ui/test_peak_fitting.py b/tests/ui/test_peak_fitting.py
index ae88ab65d..81f71c100 100644
--- a/tests/ui/test_peak_fitting.py
+++ b/tests/ui/test_peak_fitting.py
@@ -6,6 +6,8 @@
 import pytest
 import os
 
+pytestmark = [pytest.mark.gui, pytest.mark.integration]
+
 wait = 300
 
 
diff --git a/tests/ui/test_pyrslauncher.py b/tests/ui/test_pyrslauncher.py
index d71aaad2e..ce624e8c5 100644
--- a/tests/ui/test_pyrslauncher.py
+++ b/tests/ui/test_pyrslauncher.py
@@ -2,6 +2,8 @@
 from qtpy import QtCore
 import pytest
 
+pytestmark = [pytest.mark.gui, pytest.mark.integration]
+
 wait = 100
 
 
diff --git a/tests/ui/test_stress_strain_viewer.py b/tests/ui/test_stress_strain_viewer.py
index 3bc446953..353b958a4 100644
--- a/tests/ui/test_stress_strain_viewer.py
+++ b/tests/ui/test_stress_strain_viewer.py
@@ -19,6 +19,7 @@
 
 
 # This is a test of the model component of the strain/stress viewer
+@pytest.mark.integration
 def test_model(tmpdir, test_data_dir):
     model = Model()
 
@@ -335,6 +336,7 @@ def test_model(tmpdir, test_data_dir):
     model.e11 is not None
 
 
+@pytest.mark.integration
 def test_model_multiple_files(tmpdir, test_data_dir):
     model = Model()
 
@@ -501,6 +503,7 @@ def test_model_multiple_files(tmpdir, test_data_dir):
     assert len(open(filename).readlines()) == 318
 
 
+@pytest.mark.integration
 def test_model_from_json(tmpdir, test_data_dir):
     model_json = dict()
     model_json["stress_case"] = "in-plane-stress"
@@ -616,6 +619,8 @@ def strain_stress_window(my_qtbot):
 
 # changes to SliceViewer from Mantid in the version 5.1 is needed for the stress/strain viewer to run
 @pytest.mark.skipif(old_mantid, reason="Need mantid version >= 5.1")
+@pytest.mark.gui
+@pytest.mark.integration
 def test_stress_strain_viewer(strain_stress_window):
     window, qtbot = strain_stress_window
 
diff --git a/tests/ui/test_texture_fitting.py b/tests/ui/test_texture_fitting.py
index a6553b4a7..6e8424a71 100644
--- a/tests/ui/test_texture_fitting.py
+++ b/tests/ui/test_texture_fitting.py
@@ -12,6 +12,8 @@
 
 from tests.conftest import ON_GITHUB_ACTIONS  # set to True when running on build servers
 
+pytestmark = [pytest.mark.gui, pytest.mark.integration]
+
 wait = 200
 plot_wait = 100
 
diff --git a/tests/unit/pyrs/core/test_live_conversion.py b/tests/unit/pyrs/core/test_live_conversion.py
index ddd77909b..55fdd4820 100644
--- a/tests/unit/pyrs/core/test_live_conversion.py
+++ b/tests/unit/pyrs/core/test_live_conversion.py
@@ -23,6 +23,8 @@ def converter_HB2B_938(test_data_dir):
 
 
 class TestNeXusConvertingApp:
+    pytestmark = pytest.mark.integration
+
     def test_split_sample_logs(self, converter_HB2B_938):
         converter_HB2B_938.split_sample_logs(subruns=np.zeros(1, dtype=int))
         sample_logs = converter_HB2B_938._hidra_workspace._sample_logs
diff --git a/tests/unit/pyrs/core/test_nexus_conversion.py b/tests/unit/pyrs/core/test_nexus_conversion.py
index c025db2bf..623ee7656 100644
--- a/tests/unit/pyrs/core/test_nexus_conversion.py
+++ b/tests/unit/pyrs/core/test_nexus_conversion.py
@@ -14,6 +14,8 @@ def converter_HB2B_938(test_data_dir):
 
 
 class TestNeXusConvertingApp:
+    pytestmark = pytest.mark.integration
+
     def test_split_sample_logs(self, converter_HB2B_938):
         converter_HB2B_938.split_sample_logs(subruns=np.zeros(1, dtype=int))
         sample_logs = converter_HB2B_938._hidra_workspace._sample_logs
diff --git a/tests/unit/pyrs/core/test_summary_generator_stress.py b/tests/unit/pyrs/core/test_summary_generator_stress.py
new file mode 100644
index 000000000..0480e87ee
--- /dev/null
+++ b/tests/unit/pyrs/core/test_summary_generator_stress.py
@@ -0,0 +1,107 @@
+"""
+Unit tests for pyrs.core.summary_generator_stress — split out of
+tests/integration/test_write_stress_csv.py.
+
+These two tests exercise SummaryGeneratorStress's input-validation error paths and
+need no real project file. See tests/integration/test_write_stress_csv.py for the
+CSV-writing tests that do (gold-file comparisons against real HB2B project files).
+"""
+
+import pytest
+
+from pyrs.peaks import PeakCollectionLite  # type: ignore
+from pyrs.dataobjects.sample_logs import PointList
+from pyrs.dataobjects.fields import StressField
+from pyrs.dataobjects.fields import StrainField
+from pyrs.core.summary_generator_stress import SummaryGeneratorStress
+
+
+def strain_instantiator(
+    name: str,
+    values: list[float],
+    errors: list[float],
+    x: list[float],
+    y: list[float],
+    z: list[float],
+) -> StrainField:
+    """Build a minimal `StrainField` directly from strain values, with no backing project file.
+
+    Pairs a `PeakCollectionLite` (strain values/errors only, no full peak-fit profile)
+    with a `PointList` built from the given coordinates. Used by this module's
+    `SummaryGeneratorStress` input-validation tests, which need a `StrainField` whose
+    `filenames` is empty (i.e. not loaded from a real project file).
+
+    Args:
+        name: Tag identifying the strain. Passed through as `StrainField`'s `filename`
+            argument and `PeakCollectionLite`'s `peak_tag` -- despite the parameter
+            name, no file is read; supplying `peak_collection`/`point_list` directly
+            means this string is used only as a label.
+        values: Strain value at each sample point.
+        errors: Strain uncertainty at each sample point, same length as `values`.
+        x: X coordinate of each sample point.
+        y: Y coordinate of each sample point.
+        z: Z coordinate of each sample point.
+
+    Returns:
+        A `StrainField` built from the given values, with no backing project file.
+    """
+    return StrainField(
+        name,
+        peak_collection=PeakCollectionLite(name, strain=values, strain_error=errors),
+        point_list=PointList([x, y, z]),
+    )
+
+
+def test_init_strain_without_filenames_raises() -> None:
+    """Test that `SummaryGeneratorStress` rejects strains with no `filenames`.
+
+    Strains built directly from values via `strain_instantiator` (not loaded from a
+    real project file) have empty `filenames`; the "11"/"22" directions require a
+    non-empty `filenames`, so construction must raise `RuntimeError` naming the
+    affected direction.
+    """
+    # strain that doesn't come from a project file
+    X = [0.000, 1.000, 2.000, 3.000, 4.000, 5.000, 6.000, 7.000, 8.000, 9.000]
+    Y = [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
+    Z = [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
+
+    strain11 = strain_instantiator(
+        "strain",
+        [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.080, 0.009],
+        [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009],
+        X,
+        Y,
+        Z,
+    )
+    strain22 = strain_instantiator(
+        "strain",
+        [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.080, 0.009],
+        [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009],
+        X,
+        Y,
+        Z,
+    )
+    strain33 = strain_instantiator(
+        "strain",
+        [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.080, 0.009],
+        [0.000, 0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007, 0.008, 0.009],
+        X,
+        Y,
+        Z,
+    )
+
+    stress = StressField(strain11, strain22, strain33, 200, 0.3)
+    with pytest.raises(RuntimeError) as exception_info:
+        SummaryGeneratorStress("dummy.csv", stress)
+    assert "StrainField filenames in direction " in str(exception_info.value)
+
+
+def test_init_none_stress_raises() -> None:
+    """Test that `SummaryGeneratorStress` rejects `stress_input=None`.
+
+    `None` is neither a `StressField` nor a `StressFacade`, so construction must raise
+    `RuntimeError`.
+    """
+    with pytest.raises(RuntimeError) as exception_info:
+        SummaryGeneratorStress("dummy.csv", None)
+    assert "stress input must be of type StressField or StressFacade" in str(exception_info.value)
diff --git a/tests/unit/pyrs/core/test_workspaces.py b/tests/unit/pyrs/core/test_workspaces.py
index 98a27fd09..f1724e28b 100644
--- a/tests/unit/pyrs/core/test_workspaces.py
+++ b/tests/unit/pyrs/core/test_workspaces.py
@@ -1,4 +1,5 @@
 import numpy as np
+import pytest
 
 from pyrs.core.workspaces import HidraWorkspace
 from pyrs.projectfile import HidraProjectFile  # type: ignore
@@ -13,6 +14,7 @@ def test_set_sample_log(self):
         workspace.set_sample_log("vx", subruns, vx, "mm")
         assert workspace.get_sample_log_units("vx") == "mm"
 
+    @pytest.mark.integration
     def test_append_projectfiels(self):
         # import data file: detector ID and file name
         test_data = [
diff --git a/tests/unit/pyrs/dataobjects/test_fields.py b/tests/unit/pyrs/dataobjects/test_fields.py
index 9eb1baf93..3544167ca 100644
--- a/tests/unit/pyrs/dataobjects/test_fields.py
+++ b/tests/unit/pyrs/dataobjects/test_fields.py
@@ -1,18 +1,14 @@
 # Standard and third party libraries
 from collections import namedtuple
 from copy import deepcopy
-import copy
 import numpy as np
 from numpy.testing import assert_allclose, assert_equal
-import os
 import pytest
 import random
 import warnings
 from uncertainties import unumpy
 
 # PyRs libraries
-from pyrs.core.peak_profile_utility import EFFECTIVE_PEAK_PARAMETERS, get_parameter_dtype
-from pyrs.core.workspaces import HidraWorkspace
 from pyrs.dataobjects.constants import DEFAULT_POINT_RESOLUTION
 from pyrs.dataobjects.fields import (
     aggregate_scalar_field_samples,
@@ -20,14 +16,12 @@
     ScalarFieldSample,
     _StrainField,
     StrainField,
-    StrainFieldSingle,
     StressField,
     stack_scalar_field_samples,
 )
 from pyrs.dataobjects.sample_logs import PointList
-from pyrs.peaks import PeakCollection, PeakCollectionLite  # type: ignore
+from pyrs.peaks import PeakCollectionLite  # type: ignore
 from pyrs.peaks.peak_collection import to_microstrain
-from tests.conftest import assert_allclose_with_sorting
 
 to_megapascal = StressField.to_megapascal
 SampleMock = namedtuple("SampleMock", "name values errors x y z")
@@ -588,66 +582,6 @@ def test_extend_to_point_list(self, strain_object_1, strain_object_2):
         assert_allclose(field_extended.values, to_microstrain([nan, nan, nan, 0.045, 0.05, 0.06, 0.07, 0.08]), atol=1)
 
 
-@pytest.fixture(scope="module")
-def strain_field_samples(test_data_dir):
-    r"""
-    A number of StrainField objects from mock and real data
-    """
-    sample_fields = {}
-    #####
-    # The first sample has 2 points in each direction
-    #####
-    subruns = np.arange(1, 9, dtype=int)
-
-    # create the test peak collection - d-refernce is 1 to make checks easier
-    # uncertainties are all zero
-    peaks_array = np.zeros(subruns.size, dtype=get_parameter_dtype("gaussian", "Linear"))
-    peaks_array["PeakCentre"][:] = 180.0  # position of two-theta in degrees
-    peaks_array["Height"][:] = 1.0  # position of two-theta in degrees
-    peaks_error = np.zeros(subruns.size, dtype=get_parameter_dtype("gaussian", "Linear"))
-    peak_collection = PeakCollection(
-        "dummy", "gaussian", "linear", wavelength=2.0, d_reference=1.0, d_reference_error=0.0
-    )
-    peak_collection.set_peak_fitting_values(
-        subruns, peaks_array, parameter_errors=peaks_error, fit_costs=np.zeros(subruns.size, dtype=float)
-    )
-
-    # create the test workspace - only sample logs are needed
-    workspace = HidraWorkspace()
-    workspace.set_sub_runs(subruns)
-    # arbitray points in space
-    workspace.set_sample_log("vx", subruns, np.arange(1, 9, dtype=int))
-    workspace.set_sample_log("vy", subruns, np.arange(11, 19, dtype=int))
-    workspace.set_sample_log("vz", subruns, np.arange(21, 29, dtype=int))
-
-    # call the function
-    strain = StrainFieldSingle(hidraworkspace=workspace, peak_collection=peak_collection)
-
-    # test the result
-    assert strain
-    assert not strain.filenames
-    assert len(strain) == subruns.size
-    assert strain.peak_collections == [peak_collection]
-    np.testing.assert_almost_equal(strain.values, 0.0)
-    np.testing.assert_equal(strain.errors, np.zeros(subruns.size, dtype=float))
-    sample_fields["strain with two points per direction"] = strain
-
-    #####
-    # Create StrainField samples from two files and different peak tags
-    #####
-    # TODO: substitute/fix HB2B_1628.h5 with other data, because reported vx, vy, and vz are all 'nan'
-    # filename_tags_pairs = [('HB2B_1320.h5', ('', 'peak0')), ('HB2B_1628.h5', ('peak0', 'peak1', 'peak2'))]
-    filename_tags_pairs = [("HB2B_1320.h5", ("", "peak0"))]
-    for filename, tags in filename_tags_pairs:
-        file_path = os.path.join(test_data_dir, filename)
-        prefix = filename.split(".")[0] + "_"
-        for tag in tags:
-            sample_fields[prefix + tag] = StrainFieldSingle(filename=file_path, peak_tag=tag)
-            assert sample_fields[prefix + tag].filenames == [filename]
-
-    return sample_fields
-
-
 class TestStrainFieldSingle:
     def test_overlapping_list(self):
         x = [0.0, 0.5, 0.0, 0.5, 0.0, 0.5, 0.0, 0.0]  # x
@@ -691,43 +625,8 @@ def test_set_d_reference(self, strain_single_object_0):
         # There should be no strain, since the observed lattice plane spacings are the reference spacings
         assert_allclose(strain_single_object_0.values, np.zeros(8), atol=1.0e-5)
 
-    def test_get_peak_params(self, strain_field_samples):
-        strain = strain_field_samples["strain with two points per direction"]  # mock object
-
-        # test that getting non-existant parameter works
-        with pytest.raises(ValueError) as exception_info:
-            strain.get_effective_peak_parameter("impossible")
-        assert "impossible" in str(exception_info.value)
-
-        num_values = len(strain)
-        for name in EFFECTIVE_PEAK_PARAMETERS:
-            scalar_field = strain.get_effective_peak_parameter(name)
-            assert scalar_field, f"Failed to get {name}"
-            assert len(scalar_field) == num_values, f"{name} does not have correct length"
-
 
 class Test_StrainField:
-    class StrainFieldMock(StrainField):
-        r"""Mocks a StrainField object overloading the initialization"""
-
-        def __init__(self, *strains):
-            for s in strains:
-                assert isinstance(s, StrainFieldSingle)
-            self._strains = strains
-
-    def test_eq(self, strain_field_samples):
-        strains_single_scan = copy.deepcopy(list(strain_field_samples.values()))
-        # single-scan strains
-        assert strains_single_scan[0] == strains_single_scan[0]
-        assert (strains_single_scan[0] == strains_single_scan[1]) is False
-
-        # multi-scan scans
-        strain_multi = self.StrainFieldMock(*strains_single_scan)
-        assert strain_multi == strain_multi
-        assert (strain_multi == strains_single_scan[0]) is False
-        strain_multi_2 = self.StrainFieldMock(*strains_single_scan[:-1])  # all except the last one
-        assert (strain_multi == strain_multi_2) is False
-
     def test_stack_with(self, strain_stress_object_0, strain_stress_object_1):
         r"""
         Stack pair of strains.
@@ -860,51 +759,16 @@ def test_rmul(self, strain_stress_object_1):
 
 
 class TestStrainField:
-    def test_peak_collection(self, strain_field_samples):
-        strain = strain_field_samples["strain with two points per direction"]
-        assert isinstance(strain.peak_collections, list)
-        assert len(strain.peak_collections) == 1
-        assert isinstance(strain.peak_collections[0], PeakCollection)
-        # TODO: test the RuntimeError when the strain is a composite
-
-    def test_peak_collections(self, strain_field_samples):
-        strain = strain_field_samples["strain with two points per direction"]
-        assert len(strain.peak_collections) == 1
-        assert isinstance(strain.peak_collections[0], PeakCollection)
-
-    def test_coordinates(self, strain_field_samples):
-        strain = strain_field_samples["strain with two points per direction"]
-        coordinates = np.array(
-            [
-                [1.0, 11.0, 21.0],
-                [2.0, 12.0, 22.0],
-                [3.0, 13.0, 23.0],
-                [4.0, 14.0, 24.0],
-                [5.0, 15.0, 25.0],
-                [6.0, 16.0, 26.0],
-                [7.0, 17.0, 27.0],
-                [8.0, 18.0, 28.0],
-            ]
-        )
-        assert np.allclose(strain.coordinates, coordinates)
-
-    def test_fuse_with(self, strain_field_samples):
-        strain1 = strain_field_samples["HB2B_1320_peak0"]
-        strain2 = strain_field_samples["strain with two points per direction"]
-        strain = strain1.fuse_with(strain2)
-        assert strain.peak_collections == [strain1.peak_collections[0], strain2.peak_collections[0]]
-        assert np.allclose(strain.coordinates, np.concatenate((strain1.coordinates, strain2.coordinates)))
-        assert strain.field  # should return something
-
-        # fusing a scan with itself creates a new copy of the strain
-        assert strain.peak_collections[0] == strain1.peak_collections[0]
-
-    def test_add(self, strain_field_samples):
-        strain1 = strain_field_samples["HB2B_1320_peak0"]
-        strain2 = strain_field_samples["strain with two points per direction"]
-        strain = strain1 + strain2
-        assert strain.peak_collections == [strain1.peak_collections[0], strain2.peak_collections[0]]
-        assert np.allclose(strain.coordinates, np.concatenate((strain1.coordinates, strain2.coordinates)))
+    # NOTE: `StrainField` used to expose a singular `.peak_collection` property that
+    # raised RuntimeError for a composite (multi-scan) strain ("There is more than one
+    # peak collection associated to this strain field") -- removed in commit d340cccb
+    # (2020) in favor of the plural `.peak_collections`, which returns all of them for
+    # a composite strain with no restriction today. No current operation on
+    # `StrainField` raises RuntimeError specifically because the strain is composite.
+    # TODO: please verify that this is the expected behavior! Was dropping that
+    # restriction intentional, or should some accessor still reject/flag a composite
+    # strain for certain callers? Needs sign-off from someone who owns the physics/
+    # data model here, not just an engineering call.
 
     def test_create_strain_field_from_scalar_field_sample(self):
         values = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0]  # values
@@ -1009,40 +873,6 @@ def test_small_stack(self):
             assert stacked.point_list == orig.point_list
         """
 
-    def test_create_strain_field_from_file_no_peaks(self, test_data_dir):
-        # this project file doesn't have peaks in it
-        file_path = os.path.join(test_data_dir, "HB2B_1060_first3_subruns.h5")
-        try:
-            _ = StrainField(file_path)  # noqa F841
-            assert False, "Should not be able to read " + file_path
-        except IOError:
-            pass  # this is what should happen
-
-    def test_from_file(self, test_data_dir):
-        file_path = os.path.join(test_data_dir, "HB2B_1320.h5")
-        strain = StrainField(filename=file_path, peak_tag="peak0")
-
-        assert strain
-        assert strain.field
-        assert strain.get_effective_peak_parameter("Center")
-
-    def test_fuse_strains(self, strain_field_samples):
-        # TODO HB2B_1320_peak0 and HB2B_1320_ are the same scan. We need two different scans
-        strain1 = strain_field_samples["HB2B_1320_peak0"]
-        strain2 = strain_field_samples["HB2B_1320_"]
-        strain3 = strain_field_samples["strain with two points per direction"]
-        # Use fuse_strains().
-        strain_fused = StrainField.fuse_strains(
-            strain1, strain2, strain3, resolution=DEFAULT_POINT_RESOLUTION, criterion="min_error"
-        )
-        # the sum should give the same, since we passed default resolution and criterion options
-        strain_sum = strain1 + strain2 + strain3
-        for strain in (strain_fused, strain_sum):
-            assert len(strain) == 312 + 8  # strain1 and strain2 give strain1 because they contain the same data
-            assert strain.peak_collections == [s.peak_collections[0] for s in (strain1, strain2, strain3)]
-            values = np.concatenate((strain1.values, strain3.values))  # no strain2 because it's the same as strain1
-            assert_allclose_with_sorting(strain.values, values)
-
     def test_d_reference(self):
         # create two strains
         x = np.array([0.0, 0.5, 0.0, 0.5])
@@ -1141,70 +971,6 @@ def test_set_d_reference(
             assert_allclose(strain.get_d_reference().values[:-3], d_reference_old.values[:-3])
             assert_allclose(strain.get_d_reference().values[-3:], [9, 9, 9])
 
-    def test_stack_strains(self, strain_field_samples, allclose_with_sorting):
-        strain1 = strain_field_samples["HB2B_1320_peak0"]
-        strain2 = strain_field_samples["HB2B_1320_"]
-
-        # Stack two strains having the same evaluation points.
-        strain1_stacked, strain2_stacked = strain1 * strain2  # default resolution and stacking mode
-        for strain in (strain1_stacked, strain2_stacked):
-            assert len(strain) == len(strain1)
-            assert bool(np.all(np.isfinite(strain.values))) is True  # all points are common to strain1 and strain2
-
-        # Stack two strains having completely different evaluation points.
-        strain3 = strain_field_samples["strain with two points per direction"]
-        strain2_stacked, strain3_stacked = strain2 * strain3  # default resolution and stacking mode
-        # The common list of points is the sum of the points from each strain
-        for strain in (strain2_stacked, strain3_stacked):
-            assert len(strain) == len(strain2) + len(strain3)
-
-        # verify the filenames got copied over
-        for strain_stacked, strain in ((strain2_stacked, strain2), (strain3_stacked, strain3)):
-            assert strain_stacked.filenames == strain.filenames
-
-        # There's no common point that is common to both strain2 and strain3
-        # Each stacked strain only have finite measurements on points coming from the un-stacked strain
-        for strain_stacked, strain in ((strain2_stacked, strain2), (strain3_stacked, strain3)):
-            finite_measurements_count = len(np.where(np.isfinite(strain_stacked.values))[0])
-            assert finite_measurements_count == len(strain)
-
-        # The points evaluated as 'nan' must come from the other scan
-        for strain_stacked, strain_other in ((strain2_stacked, strain3), (strain3_stacked, strain2)):
-            nan_measurements_count = len(np.where(np.isnan(strain_stacked.values))[0])
-            assert nan_measurements_count == len(strain_other)
-
-    def test_fuse_and_stack_strains(self, strain_field_samples, allclose_with_sorting):
-        # TODO HB2B_1320_peak0 and HB2B_1320_ are the same scan. We need two different scans
-        strain1 = strain_field_samples["HB2B_1320_peak0"]
-        strain2 = strain_field_samples["HB2B_1320_"]
-        strain3 = strain_field_samples["strain with two points per direction"]
-        strain1_stacked, strain23_stacked = strain1 * (strain2 + strain3)  # default resolution and stacking mode
-        # Check number of points with finite strains measuments
-        for strain_stacked in (strain1_stacked, strain23_stacked):
-            assert len(strain_stacked) == len(strain2) + len(strain3)
-        for strain_stacked, finite_count, nan_count in zip((strain1_stacked, strain23_stacked), (312, 320), (8, 0)):
-            finite_measurements_count = len(np.where(np.isfinite(strain_stacked.values))[0])
-            assert finite_measurements_count == finite_count
-            nan_measurements_count = len(np.where(np.isnan(strain_stacked.values))[0])
-            assert nan_measurements_count == nan_count
-        # Check peak collections carry-over
-        assert strain1_stacked.peak_collections[0] == strain1.peak_collections[0]
-        assert strain23_stacked.peak_collections == [strain2.peak_collections[0], strain3.peak_collections[0]]
-
-    def test_to_md_histo_workspace(self, strain_field_samples):
-        strain = strain_field_samples["HB2B_1320_peak0"]
-        histo = strain.to_md_histo_workspace(method="linear", resolution=DEFAULT_POINT_RESOLUTION)
-        assert histo.id() == "MDHistoWorkspace"
-        minimum_values = (-31.76, -7.20, -15.00)  # bin boundary with the smallest coordinate along X, Y, and Z
-        maximum_values = (31.76, 7.20, 15.00)  # bin boundary with the largest coordinate along X, Y, and Z
-        bin_counts = (18, 6, 3)  # number of bins along  X, Y, and Z
-        for i, (min_value, max_value, bin_count) in enumerate(zip(minimum_values, maximum_values, bin_counts)):
-            dimension = histo.getDimension(i)
-            assert dimension.getUnits() == "mm"
-            assert dimension.getMinimum() == pytest.approx(min_value, abs=0.01)
-            assert dimension.getMaximum() == pytest.approx(max_value, abs=0.01)
-            assert dimension.getNBins() == bin_count
-
 
 def test_calculated_strain():
     SIZE = 10
@@ -1823,53 +1589,5 @@ def test_stack_scalar_field_samples(
     assert allclose_with_sorting(sample3.values, sample3_values, equal_nan=True)
 
 
-def test_stress_field_from_files(test_data_dir):
-    HB2B_1320_PROJECT = os.path.join(test_data_dir, "HB2B_1320.h5")
-    YOUNG = 200.0
-    POISSON = 0.3
-
-    # create 3 strain objects
-    sample11 = StrainField(HB2B_1320_PROJECT)
-    sample22 = StrainField(HB2B_1320_PROJECT)
-    sample33 = StrainField(HB2B_1320_PROJECT)
-    # create the stress field (with very uninteresting values
-    stress = StressField(sample11, sample22, sample33, YOUNG, POISSON)
-
-    # confirm the strains are unchanged
-    for direction in DIRECTIONS:
-        stress.select(direction)
-        np.testing.assert_allclose(
-            stress.strain.values,
-            sample11.peak_collections[0].get_strain(units="microstrain")[0],
-            atol=1,
-            err_msg=f"strain direction {direction}",
-        )
-
-    # calculate the values for stress
-    strains = sample11.peak_collections[0].get_strain(units="microstrain")[0]
-    stress_exp = strains + POISSON * (strains + strains + strains) / (1.0 - 2.0 * POISSON)
-    stress_exp *= YOUNG / (1.0 + POISSON)
-
-    # since all of the contributing strains are identical, everything else should match
-    for direction in DIRECTIONS:
-        stress.select(direction)
-        np.testing.assert_equal(stress.point_list.coordinates, sample11.point_list.coordinates)
-        np.testing.assert_allclose(
-            stress.values, to_megapascal(stress_exp), atol=1, err_msg=f"stress direction {direction}"
-        )
-
-    stress11 = stress.stress11.values
-    print(stress11)
-    assert np.all(np.logical_not(np.isnan(stress11)))  # confirm something was set
-
-    # redo the calculation - this should change nothing
-    stress.update_stress_calculation()
-    np.testing.assert_equal(stress.stress11.values, stress11)
-
-    # set the d-reference and see that the values are changed
-    stress.set_d_reference((42.0, 0.0))
-    assert np.all(stress.stress11.values != stress11)
-
-
 if __name__ == "__main__":
     pytest.main()
diff --git a/tests/unit/pyrs/interface/test_manual_reduction_runspec.py b/tests/unit/pyrs/interface/test_manual_reduction_runspec.py
new file mode 100644
index 000000000..ebf9ec245
--- /dev/null
+++ b/tests/unit/pyrs/interface/test_manual_reduction_runspec.py
@@ -0,0 +1,107 @@
+"""Unit tests for the manual-reduction run-number specification parser.
+
+These tests exercise `parse_run_numbers`/`is_run_specification` directly, with no
+file I/O or HFIR archive access needed -- kept out of the HFIR-gated integration
+suite for exactly that reason.  They consolidate two previously separate, partly
+overlapping sets of tests for the same two functions: one in
+tests/integration/test_batch_reduction.py (skipped whenever the HFIR archive was
+unreachable) and one in tests/ui/test_manual_reduction_runspec.py (which touched
+no Qt widget at all).
+"""
+
+import pytest
+
+from pyrs.interface.manual_reduction.manual_reduction_model import is_run_specification, parse_run_numbers
+
+
+def test_parse_run_numbers_single_run_returns_one_element_list() -> None:
+    """Test that a single run number parses to a one-element list."""
+    # Arrange
+    text = "938"
+
+    # Act
+    result = parse_run_numbers(text)
+
+    # Assert
+    assert result == [938]
+
+
+def test_parse_run_numbers_dash_range_returns_inclusive_list() -> None:
+    """Test that a dash range expands to an inclusive list of run numbers."""
+    # Arrange
+    text = "938-940"
+
+    # Act
+    result = parse_run_numbers(text)
+
+    # Assert
+    assert result == [938, 939, 940]
+
+
+def test_parse_run_numbers_comma_separated_returns_ordered_list() -> None:
+    """Test that comma-separated runs parse in the order given."""
+    # Arrange
+    text = "938,945,950"
+
+    # Act
+    result = parse_run_numbers(text)
+
+    # Assert
+    assert result == [938, 945, 950]
+
+
+def test_parse_run_numbers_mixed_range_and_list() -> None:
+    """Test that ranges and individual runs can be combined, with spaces ignored."""
+    # Arrange
+    text = "938-940, 945"
+
+    # Act
+    result = parse_run_numbers(text)
+
+    # Assert
+    assert result == [938, 939, 940, 945]
+
+
+def test_parse_run_numbers_stray_comma_skipped() -> None:
+    """Test that empty tokens from stray commas are skipped."""
+    # Arrange
+    text = "938,,940"
+
+    # Act
+    result = parse_run_numbers(text)
+
+    # Assert
+    assert result == [938, 940]
+
+
+def test_parse_run_numbers_non_integer_token_raises_value_error() -> None:
+    """Test that a non-integer token raises `ValueError`."""
+    # Arrange
+    text = "938-abc"
+
+    # Act / Assert
+    with pytest.raises(ValueError):
+        parse_run_numbers(text)
+
+
+def test_parse_run_numbers_blank_returns_empty() -> None:
+    """Test that blank and whitespace-only input return an empty list, not an error."""
+    # Arrange / Act / Assert
+    assert parse_run_numbers("") == []
+    assert parse_run_numbers("   ") == []
+
+
+def test_is_run_specification_accepts_run_specs() -> None:
+    """Test that digit/dash/comma strings (including spaced dash ranges) are recognized as run specs."""
+    # Arrange / Act / Assert
+    assert is_run_specification("938")
+    assert is_run_specification("938-940,945")
+    assert is_run_specification(" 938 - 940 ")
+
+
+def test_is_run_specification_path_or_blank_returns_false() -> None:
+    """Test that file paths, blank input, and whitespace-only input are not run specs."""
+    # Arrange / Act / Assert
+    assert not is_run_specification("tests/data/HB2B_938.nxs.h5")
+    assert not is_run_specification("")
+    assert not is_run_specification("   ")
diff --git a/tests/ui/test_plot_data_preparer.py b/tests/unit/pyrs/interface/test_plot_data_preparer.py
similarity index 100%
rename from tests/ui/test_plot_data_preparer.py
rename to tests/unit/pyrs/interface/test_plot_data_preparer.py
diff --git a/tests/unit/pyrs/peaks/test_peak_fit_engine.py b/tests/unit/pyrs/peaks/test_peak_fit_engine.py
index 0b2f98202..41d7aa5f3 100644
--- a/tests/unit/pyrs/peaks/test_peak_fit_engine.py
+++ b/tests/unit/pyrs/peaks/test_peak_fit_engine.py
@@ -788,6 +788,19 @@ def test_calculate_effective_parameters_pv():
         }
     ],
 )
+@pytest.mark.integration
+@pytest.mark.xfail(
+    reason="tests/data/HB2B_1060_first3_subruns.h5's '2theta' dataset raises a "
+    "pre-existing, unrelated HDF5-level error on read -- h5py.KeyError: 'Unable to "
+    "synchronously open object (invalid dataset size, likely file corruption)'. "
+    "Reproducible with bare h5py, independent of any PyRS code. Was previously "
+    "silently swallowed by a blanket except-KeyError in read_diffraction_2theta_array's "
+    "caller; now surfaces loudly since that catch was tightened to only cover "
+    "legitimately-empty reduced-diffraction data. Root cause (file corruption or an "
+    "hdf5/h5py version incompatibility) is a separate follow-up, not a schema issue.",
+    raises=RuntimeError,
+    strict=True,
+)
 def test_pseudovoigt_HB2B_1060(target_values):
     """This is a test of Pseudovoigt peak fitting for HB2B 1060.
 
diff --git a/tests/unit/pyrs/utilities/NXstress/conftest.py b/tests/unit/pyrs/utilities/NXstress/conftest.py
index 9d6b8027a..882a94722 100644
--- a/tests/unit/pyrs/utilities/NXstress/conftest.py
+++ b/tests/unit/pyrs/utilities/NXstress/conftest.py
@@ -1,17 +1,158 @@
+"""
+Shared fixtures for the NXstress test suite.
+
+Fixture conventions
+--------------------
+- `minimal_HidraWorkspace` — build a small, entirely synthetic (no disk I/O)
+  `HidraWorkspace`, via its public setters. This is the default choice for new
+  NXstress tests: it lets a test's assertions be judged purely on the code under
+  test, not on incidental facts about whichever real HB2B run happens to be on
+  disk. Toggle `with_instrument`/`with_masks`/`with_raw_counts` for the specific
+  structure your test needs.
+- `minimal_PeakCollection` — a thin convenience wrapper around `createPeakCollection`
+  (see tests/util/peak_collection_helpers.py) that fills in sensible defaults;
+  still fully overridable.
+- `.nxs` files written by a test must land under pytest's built-in `tmp_path`
+  fixture and need no separate cleanup — this is already the convention every
+  test in this directory follows.
+- `load_HidraWorkspace` — legacy: reads a real HidraProject file from disk. Kept
+  for a test that genuinely needs real project-file content (e.g. testing
+  `HidraProjectFile`'s own I/O); prefer `minimal_HidraWorkspace` for anything else.
+- `default_config` — see `tests/unit/pyrs/utilities/conftest.py` (one directory up):
+  it lives there, not here, since `pyrs/utilities/config.py` isn't itself
+  NXstress-specific code, and a fixture defined there is visible down into this
+  directory too.
+"""
+
 from collections.abc import Callable, Generator
 from pathlib import Path
 
+import numpy as np
 
+from pyrs.core.instrument_geometry import DENEXDetectorGeometry, DENEXDetectorShift
 from pyrs.core.workspaces import HidraWorkspace
 from pyrs.projectfile.file_object import HidraProjectFile, HidraProjectFileMode
 
 import pytest
-from tests.util.peak_collection_helpers import createPeakCollection
+from tests.util.peak_collection_helpers import createPeakCollection  # noqa: F401
+
+
+@pytest.fixture
+def minimal_HidraWorkspace() -> Generator[Callable[..., HidraWorkspace]]:
+    # Factory fixture: builds a small but valid `HidraWorkspace` entirely from
+    # synthetic in-memory data -- no project file is read from disk.
+
+    def _init(
+        *,
+        name: str = "test_workspace",
+        n_subruns: int = 3,
+        with_instrument: bool = True,
+        with_masks: bool = False,
+        mask_names: tuple = (),
+        with_raw_counts: bool = False,
+        with_reduced_diffraction: bool = True,
+        n_two_theta: int = 20,
+    ) -> HidraWorkspace:
+        ws = HidraWorkspace(name)
+
+        subruns = np.arange(1, n_subruns + 1, dtype=int)
+        ws.set_sub_runs(subruns)
+
+        # Minimal sample logs: coordinates, timestamps, sample rotation.
+        ws.set_sample_log("vx", subruns, np.arange(n_subruns, dtype=float))
+        ws.set_sample_log("vy", subruns, np.zeros(n_subruns, dtype=float))
+        ws.set_sample_log("vz", subruns, np.zeros(n_subruns, dtype=float))
+        ws.set_sample_log(
+            "start_time", subruns, np.array([f"2024-01-15T10:{n:02d}:00".encode("utf-8") for n in range(n_subruns)])
+        )
+        ws.set_sample_log(
+            "end_time", subruns, np.array([f"2024-01-15T10:{n:02d}:30".encode("utf-8") for n in range(n_subruns)])
+        )
+        ws.set_sample_log("mrot", subruns, np.zeros(n_subruns, dtype=float))
+        # `NXstress._init`/`_Fit._init` read `start_time`/`end_time`/`Filename` sample-log
+        # values as bytes (`t.decode("utf-8")`) -- matching what comes back from a real
+        # h5py-backed string dataset. A synthetic workspace needs to match that, not a
+        # plain numpy unicode string.
+        ws.set_sample_log("Filename", subruns, np.array([f"{name}.h5".encode("utf-8")] * n_subruns))
+
+        ws.set_wavelength(1.486, calibrated=True)
+
+        n_pixels = 16  # small synthetic detector -- no test asserts a specific pixel count
+        if with_instrument:
+            geometry = DENEXDetectorGeometry(
+                num_rows=4,
+                num_columns=4,
+                pixel_size_x=0.001,
+                pixel_size_y=0.001,
+                arm_length=2.0,
+                calibrated=True,
+            )
+            ws.set_instrument_geometry(geometry)
+            shift = DENEXDetectorShift(
+                shift_x=0.01, shift_y=0.02, shift_z=0.03, rotation_x=1.0, rotation_y=2.0, rotation_z=3.0, tth_0=0.5
+            )
+            ws.set_detector_shift(shift)
+
+        if with_masks:
+            default_mask = np.ones(n_pixels, dtype=np.int64)
+            ws.set_detector_mask(default_mask, True)
+            for mask_name in mask_names:
+                ws.set_detector_mask(np.ones(n_pixels, dtype=np.int64), False, mask_name)
+
+        if with_raw_counts:
+            for subrun in subruns:
+                ws.set_raw_counts(int(subrun), np.arange(n_pixels, dtype=np.int64))
+
+        if with_reduced_diffraction:
+            two_theta_matrix = np.tile(np.linspace(60.0, 120.0, n_two_theta), (n_subruns, 1))
+            intensities = np.ones((n_subruns, n_two_theta), dtype=float)
+            variances = np.ones((n_subruns, n_two_theta), dtype=float)
+            ws.set_reduced_diffraction_data_set(two_theta_matrix, {None: intensities}, {None: variances})
+
+        return ws
+
+    yield _init
+
+    # teardown follows
+    pass
+
+
+@pytest.fixture
+def minimal_PeakCollection(createPeakCollection):
+    # Convenience wrapper around `createPeakCollection` with defaults suited to
+    # `minimal_HidraWorkspace` -- still fully overridable.
+
+    def _init(
+        *,
+        N_subrun: int,
+        peak_tag: str = "Fe 110",
+        peak_profile: str = "Gaussian",
+        background_type: str = "Linear",
+        wavelength: float = 1.486,
+        projectfilename: str = "/does/not/exist.h5",
+        runnumber: int = 1,
+        **kwargs,
+    ):
+        return createPeakCollection(
+            peak_tag=peak_tag,
+            peak_profile=peak_profile,
+            background_type=background_type,
+            wavelength=wavelength,
+            projectfilename=projectfilename,
+            runnumber=runnumber,
+            N_subrun=N_subrun,
+            **kwargs,
+        )
+
+    return _init
 
 
 @pytest.fixture
 def load_HidraWorkspace(test_data_dir) -> Generator[Callable[..., HidraWorkspace]]:
-    # This fixture loads a `HidraWorkspace` instance from a `HidraProject`-format file.
+    # Legacy: loads a `HidraWorkspace` instance from a real `HidraProject`-format
+    # file on disk. Prefer `minimal_HidraWorkspace` for new tests -- this fixture
+    # is kept for a test that genuinely needs real project-file content (e.g.
+    # testing `HidraProjectFile`'s own I/O).
 
     def _init(*, file_name: str, name: str, load_raw_counts=True, load_reduced_diffraction=True) -> HidraWorkspace:
         file_path = Path(test_data_dir) / file_name
diff --git a/tests/unit/pyrs/utilities/NXstress/test_NXstress.py b/tests/unit/pyrs/utilities/NXstress/test_NXstress.py
index 39bb5e0d9..263696b4a 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_NXstress.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_NXstress.py
@@ -31,15 +31,6 @@
 
 
 class TestNXstress:
-    # instrument, input data, reduced data, no mask
-    PROJECT_FILE_A = "HB2B_1017.h5"
-
-    # instrument, mask, reduced data, but no input data
-    PROJECT_FILE_B = "HB2B_1628.h5"
-
-    # instrument, mask (from '1628'), input data, reduced data
-    PROJECT_FILE_C = "HB2B_1017_w_mask.h5"
-
     @pytest.fixture(autouse=True)
     def setUp(self, load_HidraWorkspace, createPeakCollection):
         """
@@ -77,16 +68,10 @@ def setUp(self, load_HidraWorkspace, createPeakCollection):
     def test_NXstress_context_manager(
         self,
         tmp_path: Path,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
         createPeakCollection: Callable[..., PeakCollection],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -111,18 +96,12 @@ def test_NXstress_context_manager(
 
     def test_NXentry_fields(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         # Verify that all required datasets, and attributes are present
         #   on the `NXentry`
 
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
 
         required_datasets = ("definition", "start_time", "end_time", "processing_type")
 
@@ -132,18 +111,14 @@ def test_NXentry_fields(
             assert key in entry
 
     def test_NXentry_subgroups(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         # Verify that all required subgroups are present
         #   on the `NXentry`
 
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -171,18 +146,14 @@ def test_NXentry_subgroups(
             assert isinstance(entry[key], NXclass_)
 
     def test_NXentry_input_data(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         # Verify that an optional `input_data` `NXdata` group will be created on the `NXentry`
         #   when detector-counts data is attached to the source workspace.
 
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -204,7 +175,9 @@ def test_NXentry_input_data(
         assert isinstance(entry[key], NXclass_)
 
     def test_NXentry_input_data_optional(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         # When no input data is attached to the source workspace:
         #   verify that an empty (i.e. no scan-points) `input_data` `NXdata` group is created on the `NXentry`.
@@ -212,15 +185,7 @@ def test_NXentry_input_data_optional(
         # Notes:
         # -- A successful instrument load is required; this is keyed to detector-counts data load.
         #    So we need to fudge the workspace after the load in order to _remove_ the attached input data.
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
-        # remove the input data:
-        ws._raw_counts = dict()
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=False)
 
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
@@ -246,16 +211,10 @@ def test_NXentry_input_data_optional(
     def test_NXentry_multiple(
         self,
         tmp_path: Path,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
         createPeakCollection: Callable[..., PeakCollection],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -297,15 +256,9 @@ def test_NXentry_multiple(
 
     def test__Instrument_fields_and_subgroups(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_raw_counts=True)
 
         required_fields = ("name",)
         required_subgroups = (
@@ -327,15 +280,9 @@ def test__Instrument_fields_and_subgroups(
 
     def test__Masks_fields_and_subgroups(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A,
-            name="test_workspace",
-            # raw-counts load => instrument load
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_raw_counts=True)
 
         required_fields = ("names",)
         required_subgroups = (("detector", NXcollection), ("solid_angle", NXcollection))
@@ -350,11 +297,9 @@ def test__Masks_fields_and_subgroups(
 
     def test__Sample_fields_and_subgroups(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         required_fields = (
             "name",
@@ -375,11 +320,11 @@ def test__Sample_fields_and_subgroups(
             assert isinstance(sample[key], NXclass_)
 
     def test__Fit_fields_and_subgroups(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -414,13 +359,11 @@ def test__Fit_fields_and_subgroups(
     def test_write_without_context_manager(
         self,
         tmp_path: Path,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
         createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify RuntimeError when write() is called without context manager"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -443,13 +386,11 @@ def test_write_without_context_manager(
 
     def test_NXentry_init_fallback_timestamps(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify NXstress._init succeeds when timestamps are not valid ISO-8601"""
         # Load workspace and deliberately corrupt the timestamps
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
 
         # Corrupt the timestamps to trigger the fallback path
         bad_timestamps = [b"not-valid-iso8601" for _ in ws._sample_logs.subruns]
@@ -463,12 +404,12 @@ def test_NXentry_init_fallback_timestamps(
         assert "end_time" in entry
 
     def test_validateWorkspaceAndPeaksData_valid(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify _validateWorkspaceAndPeaksData completes without error for valid data"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -488,24 +429,22 @@ def test_validateWorkspaceAndPeaksData_valid(
 
     def test_NXentry_definition_value(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify entry['definition'] is 'NXstress' and processing_type is 'd-spacing'"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
 
         entry = NXstress._init(ws)
         assert entry["definition"] == "NXstress"
         assert entry["processing_type"] == "d-spacing"
 
     def test__PeakParameters_fields_and_subgroups(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         # Load a workspace in order to get a realistic <scan point> axis.
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -546,12 +485,12 @@ def test__PeakParameters_fields_and_subgroups(
         )
 
     def test__BackgroundParameters_fields_and_subgroups(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         # Load a workspace in order to get a realistic <scan point> axis.
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -585,11 +524,11 @@ def test__BackgroundParameters_fields_and_subgroups(
             assert key in background_parameters
 
     def test__Diffractogram_fields_and_subgroups(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -629,12 +568,10 @@ def test__Diffractogram_fields_and_subgroups(
     def test__Peaks_fields_and_subgroups(
         self,
         tmp_path: Path,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
         createPeakCollection: Callable[..., PeakCollection],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
         sampleLogs = ws._sample_logs
         subruns = sampleLogs.subruns.raw_copy()
 
@@ -708,11 +645,9 @@ def test__parse_peak_tag(self):
 
     def test__InputData_fields_and_subgroups(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_raw_counts=True)
 
         required_attributes = ("axes", "signal")
         required_fields = ("scan_point", "detector_counts")
@@ -731,17 +666,11 @@ def test__InputData_fields_and_subgroups(
 
     def test__InputData_omitted(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         # When input-data is not attached to the source workspace,
         #   the structure of the input-data group should still be filled in.
-        ws = load_HidraWorkspace(
-            # PROJECT_B doesn't include any raw-counts data.
-            file_name=self.PROJECT_FILE_B,
-            name="test_workspace",
-            load_raw_counts=False,
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False, with_raw_counts=False)
 
         required_attributes = ("axes", "signal")
         required_fields = ("scan_point", "detector_counts")
diff --git a/tests/unit/pyrs/utilities/NXstress/test_fit.py b/tests/unit/pyrs/utilities/NXstress/test_fit.py
index ebfb10459..15634c745 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_fit.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_fit.py
@@ -16,16 +16,13 @@
 class TestFit:
     """Test suite for _fit.py"""
 
-    PROJECT_FILE_B = "HB2B_1628.h5"  # instrument, mask, reduced data, but no input data
-    PROJECT_FILE_C = "HB2B_1017_w_mask.h5"  # instrument, mask, input data, reduced data
-
     def test_PeakParameters_data_values(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify numeric values in peak parameters match get_effective_params()"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -66,12 +63,12 @@ def test_PeakParameters_data_values(
         np.testing.assert_array_almost_equal(peak_params["form_factor"].nxdata, expected_form_factor)
 
     def test_PeakParameters_multiple_peaks(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify two PeakCollections create 2×N_scan rows in sort order"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -102,12 +99,12 @@ def test_PeakParameters_multiple_peaks(
         assert peak_params["center"].shape[0] == 2 * N_subrun
 
     def test_PeakParameters_mismatched_profile_raises(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify ValueError when PeakCollections have different peak_profile"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -136,12 +133,12 @@ def test_PeakParameters_mismatched_profile_raises(
             _PeakParameters.init_group([peak0, peak1])
 
     def test_BackgroundParameters_data_values(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify A0, A1, A2 (and errors) match get_effective_params()"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -173,12 +170,12 @@ def test_BackgroundParameters_data_values(
             )
 
     def test_BackgroundParameters_multiple_peaks(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify two PeakCollections create 2×N_scan rows"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -209,12 +206,12 @@ def test_BackgroundParameters_multiple_peaks(
         assert bg_params["A0"].shape[0] == 2 * N_subrun
 
     def test_BackgroundParameters_mismatched_type_raises(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify ValueError when PeakCollections have different background_type"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -256,12 +253,10 @@ def test_Diffractogram_data_keys_named(self):
 
     def test_Diffractogram_init_no_reduced_data_raises(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify RuntimeError when workspace._2theta_matrix is None"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Set _2theta_matrix to None to simulate no reduced data
         ws._2theta_matrix = None
@@ -270,12 +265,12 @@ def test_Diffractogram_init_no_reduced_data_raises(
             _Diffractogram._init(ws)
 
     def test_Diffractogram_init_group_missing_mask_raises(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify RuntimeError when mask data not in workspace"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -295,12 +290,12 @@ def test_Diffractogram_init_group_missing_mask_raises(
             _Diffractogram.init_group(ws, "non_existent_mask", [peak0])
 
     def test_Diffractogram_data_values(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify diffractogram/diffractogram_errors match workspace arrays"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -339,12 +334,10 @@ def test_Diffractogram_data_values(
 
     def test_Fit_init_fields(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify _Fit._init creates fields: date, program, raw_data_file, DESCRIPTION"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         logs = ws._sample_logs
         fit = _Fit._init(logs, processing_description="Test description", processing_time="2024-01-15T10:30:00")
@@ -360,16 +353,32 @@ def test_Fit_init_fields(
         assert isinstance(fit["DESCRIPTION"], NXnote)
 
     def test_Fit_multiple_masks(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
-        """Verify workspace with multiple masks creates one DIFFRACTOGRAM per mask"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        """Verify a workspace with multiple named reduced-diffraction masks creates exactly
+        one DIFFRACTOGRAM per configured mask, plus the always-present default.
+        """
+        ws = minimal_HidraWorkspace(with_instrument=False, with_reduced_diffraction=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
 
+        # `_Fit.init_group` counts one DIFFRACTOGRAM per key in `ws._diff_data_set` (plus
+        # the always-present default, keyed `None`) -- `minimal_HidraWorkspace`'s own
+        # `with_reduced_diffraction` only ever creates that single default entry, so the
+        # extra named masks are configured here directly.
+        n_two_theta = 20
+        two_theta_matrix = np.tile(np.linspace(60.0, 120.0, n_two_theta), (N_subrun, 1))
+        mask_names = ("mask1", "mask2")
+        diff_data_set: dict[str | None, np.ndarray] = {None: np.ones((N_subrun, n_two_theta))}
+        var_data_set: dict[str | None, np.ndarray] = {None: np.ones((N_subrun, n_two_theta))}
+        for mask_name in mask_names:
+            diff_data_set[mask_name] = np.ones((N_subrun, n_two_theta))
+            var_data_set[mask_name] = np.ones((N_subrun, n_two_theta))
+        ws.set_reduced_diffraction_data_set(two_theta_matrix, diff_data_set, var_data_set)
+
         peak0 = createPeakCollection(
             peak_tag="Al 111",
             peak_profile="Gaussian",
@@ -385,11 +394,13 @@ def test_Fit_multiple_masks(
         # Count NXdata groups (diffractograms)
         diffractogram_count = sum(1 for key in fit.keys() if isinstance(fit[key], NXdata))
 
-        # Should have at least one diffractogram
-        assert diffractogram_count >= 1
+        # One diffractogram per configured mask, plus the always-present default.
+        assert diffractogram_count == len(mask_names) + 1
 
     def test_Fit_duplicate_diffractogram_raises(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify RuntimeError when diffractogram name collision occurs"""
         # This test checks the internal logic - would need to manipulate
@@ -398,12 +409,12 @@ def test_Fit_duplicate_diffractogram_raises(
         pass
 
     def test_validateWorkspaceAndPeaksData_valid(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify validation passes for matching workspace and peaks data"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -422,12 +433,12 @@ def test_validateWorkspaceAndPeaksData_valid(
         _Fit.validateWorkspaceAndPeaksData(ws, [peak0])
 
     def test_validateWorkspaceAndPeaksData_missing_scan_points(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify ValueError when PeakCollection references missing scan points"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -454,12 +465,12 @@ def test_validateWorkspaceAndPeaksData_missing_scan_points(
             _Fit.validateWorkspaceAndPeaksData(ws, [peak0])
 
     def test_validateWorkspaceAndPeaksData_missing_mask_data(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify ValueError when PeakCollection references missing mask data"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -481,7 +492,9 @@ def test_validateWorkspaceAndPeaksData_missing_mask_data(
             _Fit.validateWorkspaceAndPeaksData(ws, [peak0])
 
     def test_peakParametersForRange_intensity_error_roundtrip(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """σ_Intensity survives a write→read round-trip for PseudoVoigt; Gaussian does not crash.
 
@@ -493,9 +506,7 @@ def test_peakParametersForRange_intensity_error_roundtrip(
         peakParametersForRange.  For Gaussian we verify that the call succeeds and that Height and
         Sigma (the actual native parameters) round-trip correctly.
         """
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -519,10 +530,21 @@ def test_peakParametersForRange_intensity_error_roundtrip(
 
         # For PseudoVoigt, Intensity is a native parameter — verify exact round-trip.
         # A factor-of-two over-count would produce errors ~√2× too large and fail here.
+        #
+        # rtol=1e-4, not 1e-6: this recovery subtracts comparable-magnitude terms derived from
+        # a float32-quantized sigma_Height (the only lossy step; the algebraic inversion itself
+        # is exact -- verified in float128 with no float32 anywhere, median rel. error 1e-19).
+        # That subtraction amplifies the float32 rounding noise by a factor that depends on the
+        # ratio between the three input uncertainties' relative sizes. createPeakCollection now
+        # bounds every parameter's fractional uncertainty to [error_fraction_min, error_fraction_max]
+        # (0.5%-5%), which caps that ratio at max/min=10 and, per a 2,000,000-draw Monte Carlo
+        # against this exact formula, caps the resulting relative error at ~9.3e-6 -- rtol=1e-4
+        # keeps roughly a 10x margin over that observed worst case. Do not tighten this back
+        # toward 1e-6 without re-deriving the bound; it will flake again.
         np.testing.assert_allclose(
             native_errors_pv["Intensity"].astype(np.float64),
             sigma_I_orig,
-            rtol=1e-6,
+            rtol=1e-4,
             err_msg="PseudoVoigt σ_Intensity round-trip failed: check peakParametersForRange",
         )
 
diff --git a/tests/unit/pyrs/utilities/NXstress/test_helper_util.py b/tests/unit/pyrs/utilities/NXstress/test_helper_util.py
index 1b68318b7..4ed28786d 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_helper_util.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_helper_util.py
@@ -1,8 +1,9 @@
 # ruff: noqa: F841
 from pathlib import Path
 
-from pyrs.projectfile.file_object import HidraProjectFile
+import pytest
 
+from pyrs.projectfile.file_object import HidraProjectFile
 
 PROJECT_FILE = "HB2B_1628.h5"
 
@@ -19,6 +20,7 @@ def test_createPeakCollection(createPeakCollection):
     )
 
 
+@pytest.mark.integration
 def test_load_HidraWorkspace(load_HidraWorkspace):
     ws = load_HidraWorkspace(
         file_name=PROJECT_FILE, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
@@ -26,6 +28,7 @@ def test_load_HidraWorkspace(load_HidraWorkspace):
     assert ws.name == "test_workspace"
 
 
+@pytest.mark.integration
 def test_HidraProjectFile_context_manager(test_data_dir):
     project_file_path = Path(test_data_dir) / PROJECT_FILE
     with HidraProjectFile(project_file_path) as project_file:
diff --git a/tests/unit/pyrs/utilities/NXstress/test_input_data.py b/tests/unit/pyrs/utilities/NXstress/test_input_data.py
index 1d9a2ba84..58c62f84a 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_input_data.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_input_data.py
@@ -15,17 +15,12 @@
 class TestInputData:
     """Test suite for _input_data.py"""
 
-    PROJECT_FILE_A = "HB2B_1017.h5"  # instrument, input data, reduced data, no mask
-    PROJECT_FILE_C = "HB2B_1017_w_mask.h5"  # instrument, mask, input data, reduced data
-
     def test_InputData_init_group_raises_on_existing_data(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify RuntimeError when trying to append detector_counts data"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_raw_counts=True)
 
         # Create an existing NXdata group
         existing_data = NXdata()
@@ -35,12 +30,10 @@ def test_InputData_init_group_raises_on_existing_data(
 
     def test_InputData_init_group_data_values(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify detector_counts shape and scan_point values match workspace"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_raw_counts=True)
 
         data = _InputData.init_group(ws)
 
@@ -66,16 +59,11 @@ def test_InputData_init_group_data_values(
     def test_InputData_readSubruns(
         self,
         tmp_path: Path,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify readSubruns round-trip: write then read back"""
-        # Load workspace with raw counts
-        ws_write = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A,
-            name="test_workspace_write",
-            load_raw_counts=True,
-            load_reduced_diffraction=True,
-        )
+        # Build workspace with raw counts
+        ws_write = minimal_HidraWorkspace(name="test_workspace_write", with_instrument=True, with_raw_counts=True)
 
         # Create input data
         data = _InputData.init_group(ws_write)
@@ -100,7 +88,7 @@ def test_InputData_readSubruns(
 
         # Check that all scan points are present
         original_scan_points = list(ws_write._raw_counts.keys())
-        read_scan_points = list(ws_write._raw_counts.keys())
+        read_scan_points = list(ws_read._raw_counts.keys())
 
         for scan_point in original_scan_points:
             assert scan_point in read_scan_points
@@ -111,13 +99,11 @@ def test_InputData_readSubruns(
     def test_InputData_readSubruns_raises_on_scanpoint_mismatch(
         self,
         tmp_path: Path,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify RuntimeError when workspace has subruns that don't match those from input data"""
-        # Load workspace with data
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        # Build workspace with data
+        ws = minimal_HidraWorkspace(with_instrument=True, with_raw_counts=True)
 
         # Create input data and write to file
         data = _InputData.init_group(ws)
diff --git a/tests/unit/pyrs/utilities/NXstress/test_instrument.py b/tests/unit/pyrs/utilities/NXstress/test_instrument.py
index ef25ca45b..e35ec46e9 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_instrument.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_instrument.py
@@ -17,10 +17,6 @@
 class TestInstrument:
     """Test suite for _instrument.py"""
 
-    PROJECT_FILE_A = "HB2B_1017.h5"  # instrument, input data, reduced data, no mask
-    PROJECT_FILE_B = "HB2B_1628.h5"  # instrument, mask, reduced data, but no input data
-    PROJECT_FILE_C = "HB2B_1017_w_mask.h5"  # instrument, mask, input data, reduced data
-
     def test_Masks_init(self):
         """Verify _Masks._init creates empty NXcollection with required fields"""
         masks = _Masks._init()
@@ -37,12 +33,10 @@ def test_Masks_init(self):
 
     def test_Masks_init_group_with_default_mask(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify default mask appears in masks with DEFAULT_TAG name"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True)
 
         masks = _Masks.init_group(ws)
 
@@ -52,12 +46,10 @@ def test_Masks_init_group_with_default_mask(
 
     def test_Masks_init_group_append(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify calling init_group twice (detector then solid_angle) populates both"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True)
 
         # First call for detector masks
         masks = _Masks.init_group(ws)
@@ -82,7 +74,7 @@ def test_Masks_init_group_append(
 
     def test_Masks_init_group_duplicate_raises(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify behavior when attempting to add duplicate masks
 
@@ -90,9 +82,7 @@ def test_Masks_init_group_duplicate_raises(
         `init_group` writes it; the second call must raise because the same
         name is already present in the masks group.
         """
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_C, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True)
 
         # Add a non-default named mask so that `mask_keys(ws)` contains a
         # name other than DEFAULT_TAG.  The first `init_group` call will write
@@ -115,12 +105,10 @@ def test_Instrument_init(self):
 
     def test_Instrument_detector_module_fields(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify NXdetector_module contains required fields"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True)
 
         inst = _Instrument.init_group(ws)
 
@@ -143,12 +131,10 @@ def test_Instrument_detector_module_fields(
 
     def test_Instrument_transformations_chain(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify all 8 transformations exist and depends_on chain is correct"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_A, name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True)
 
         inst = _Instrument.init_group(ws)
 
diff --git a/tests/unit/pyrs/utilities/NXstress/test_peaks.py b/tests/unit/pyrs/utilities/NXstress/test_peaks.py
index 7d025f102..2a4ef0e2c 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_peaks.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_peaks.py
@@ -15,16 +15,12 @@
 class TestPeaks:
     """Test suite for _peaks.py"""
 
-    PROJECT_FILE_B = "HB2B_1628.h5"  # instrument, mask, reduced data, but no input data
-
     def test_Peaks_init_empty(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify _Peaks._init creates empty datasets with correct dtypes/units"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         logs = ws._sample_logs
         peaks = _Peaks._init(logs)
@@ -58,12 +54,12 @@ def test_Peaks_init_empty(
         assert peaks["center_type"].nxdata == "d-spacing"
 
     def test_Peaks_init_group_data_values(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify one PeakCollection creates N_scan rows with correct values"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -108,12 +104,12 @@ def test_Peaks_init_group_data_values(
         np.testing.assert_array_equal(peaks["scan_point"].nxdata, subruns)
 
     def test_Peaks_init_group_multiple_peaks(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify two PeakCollections create 2×N_scan rows in lexicographic sort order"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -168,12 +164,12 @@ def test_Peaks_init_group_multiple_peaks(
         assert all(peaks["l"].nxdata[:N_subrun] == l)
 
     def test_PeakIndex_sort_key(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify PeakIndex.sort_key returns correct tuple for sorting"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -211,12 +207,12 @@ def test_PeakIndex_sort_key(
         assert (key0 < key1) or (key0 > key1)
 
     def test_Peaks_qxyz_nan(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify qx, qy, qz fields exist but remain empty after init_group since implementation doesn't populate them"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -243,12 +239,12 @@ def test_Peaks_qxyz_nan(
         assert peaks["qz"].shape[0] == 0
 
     def test_Peaks_sxyz_nan(
-        self, load_HidraWorkspace: Callable[..., HidraWorkspace], createPeakCollection: Callable[..., PeakCollection]
+        self,
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
+        createPeakCollection: Callable[..., PeakCollection],
     ):
         """Verify sx, sy, sz are filled with NaN after init_group"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
diff --git a/tests/unit/pyrs/utilities/NXstress/test_peaks_read.py b/tests/unit/pyrs/utilities/NXstress/test_peaks_read.py
index ec292cbf6..ecfce4b7a 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_peaks_read.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_peaks_read.py
@@ -18,11 +18,9 @@
 class TestPeakCollectionRanges:
     """Test suite for _Peaks.peakCollectionRanges"""
 
-    def test_peakCollectionRanges_happy_path(self, load_HidraWorkspace, createPeakCollection):
+    def test_peakCollectionRanges_happy_path(self, minimal_HidraWorkspace, createPeakCollection):
         """Write 3 PeakCollections with distinct keys, read ranges, verify count and span"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1628.h5", name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -77,11 +75,9 @@ def test_peakCollectionRanges_happy_path(self, load_HidraWorkspace, createPeakCo
             assert start == expected_start
             expected_start = end
 
-    def test_peakCollectionRanges_interleaved_blocks(self, load_HidraWorkspace):
+    def test_peakCollectionRanges_interleaved_blocks(self, minimal_HidraWorkspace):
         """Construct NXreflections with non-contiguous blocks for same key → RuntimeError"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1628.h5", name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Manually create NXreflections with interleaved blocks
         peaks = _Peaks._init(ws._sample_logs)
@@ -117,11 +113,9 @@ def test_peakCollectionRanges_interleaved_blocks(self, load_HidraWorkspace):
         with pytest.raises(RuntimeError, match="Interleaved blocks detected"):
             _Peaks.peakCollectionRanges(peaks)
 
-    def test_peakCollectionRanges_scan_point_order_violation(self, load_HidraWorkspace):
+    def test_peakCollectionRanges_scan_point_order_violation(self, minimal_HidraWorkspace):
         """Non-increasing scan points within block → RuntimeError"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1628.h5", name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Manually create NXreflections with non-increasing scan_point
         peaks = _Peaks._init(ws._sample_logs)
@@ -326,14 +320,9 @@ def test_backgroundParametersForRange(self):
 class TestPeakCollectionsFromNexus:
     """Test suite for full round-trip read/write"""
 
-    def test_peakCollectionsFromNexus_roundtrip(self, load_HidraWorkspace, createPeakCollection):
+    def test_peakCollectionsFromNexus_roundtrip(self, minimal_HidraWorkspace, createPeakCollection):
         """Write PeakCollections via NXstress.write(), read back via peakCollectionsFromNexus, verify match"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1017_w_mask.h5",
-            name="test_workspace",
-            load_raw_counts=True,  # Required to load instrument geometry
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -426,14 +415,9 @@ def test_peakCollectionsFromNexus_roundtrip(self, load_HidraWorkspace, createPea
                     orig_eff_errs[field], recon_eff_errs[field], atol=1e-5, err_msg=f"Mismatch in {field} errors"
                 )
 
-    def test_peak_tag_roundtrip_multidigit_miller(self, load_HidraWorkspace, createPeakCollection):
+    def test_peak_tag_roundtrip_multidigit_miller(self, minimal_HidraWorkspace, createPeakCollection):
         """PeakCollection with peak_tag='Fe120100' (h=12,k=1,l=0) round-trips correctly"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1017_w_mask.h5",
-            name="test_workspace",
-            load_raw_counts=True,  # Required to load instrument geometry
-            load_reduced_diffraction=True,
-        )
+        ws = minimal_HidraWorkspace(with_instrument=True, with_masks=True, with_raw_counts=True)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
@@ -480,11 +464,9 @@ def test_peak_tag_roundtrip_multidigit_miller(self, load_HidraWorkspace, createP
 class TestValidateNoDuplicatePeaksIntegration:
     """Test validateNoDuplicatePeaks integration in NXstress.write()"""
 
-    def test_validateNoDuplicatePeaks_integration_in_write(self, load_HidraWorkspace, createPeakCollection):
+    def test_validateNoDuplicatePeaks_integration_in_write(self, minimal_HidraWorkspace, createPeakCollection):
         """NXstress.write() with duplicates → ValueError before any file content written"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1628.h5", name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         subruns = ws._sample_logs.subruns.raw_copy()
         N_subrun = len(subruns)
diff --git a/tests/unit/pyrs/utilities/NXstress/test_sample.py b/tests/unit/pyrs/utilities/NXstress/test_sample.py
index 0a966eb87..2e81991ae 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_sample.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_sample.py
@@ -16,18 +16,12 @@
 class TestSample:
     """Test suite for _sample.py"""
 
-    PROJECT_FILE_A = "HB2B_1017.h5"  # instrument, input data, reduced data, no mask
-    PROJECT_FILE_B = "HB2B_1628.h5"  # instrument, mask, reduced data, but no input data
-    PROJECT_FILE_C = "HB2B_1017_w_mask.h5"  # instrument, mask, input data, reduced data
-
     def test_Sample_scan_point_and_coordinates(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify scan_point matches subruns and vx,vy,vz have correct shape/dtype"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         sample = _Sample.init_group(ws._sample_logs)
 
@@ -50,12 +44,10 @@ def test_Sample_scan_point_and_coordinates(
 
     def test_Sample_chemical_formula_present(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify chemical_formula field when CHEMICAL_FORMULA log is present"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Add chemical formula to logs - must match number of subruns
         subruns = ws._sample_logs.subruns.raw_copy()
@@ -70,12 +62,10 @@ def test_Sample_chemical_formula_present(
 
     def test_Sample_chemical_formula_absent(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify chemical_formula defaults to 'unknown' when not in logs"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Ensure chemical formula is not in logs
         if HidraConstants.CHEMICAL_FORMULA in ws._sample_logs:
@@ -86,11 +76,9 @@ def test_Sample_chemical_formula_absent(
         assert "chemical_formula" in sample
         assert sample["chemical_formula"] == "unknown"
 
-    def test_Sample_temperature_present(self, load_HidraWorkspace: Callable[..., HidraWorkspace]):
+    def test_Sample_temperature_present(self, minimal_HidraWorkspace: Callable[..., HidraWorkspace]):
         """Verify temperature field and units when TEMPERATURE log is present"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Add temperature data to logs with units using tuple syntax
         subruns = ws._sample_logs.subruns.raw_copy()
@@ -109,12 +97,10 @@ def test_Sample_temperature_present(self, load_HidraWorkspace: Callable[..., Hid
 
     def test_Sample_temperature_absent(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify no temperature field when TEMPERATURE log is absent"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Ensure temperature is not in logs
         if HidraConstants.TEMPERATURE in ws._sample_logs:
@@ -126,17 +112,17 @@ def test_Sample_temperature_absent(
 
     def test_Sample_stress_field_present(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify stress_field field, shape, and direction attr when present"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Add stress field data to logs
         subruns = ws._sample_logs.subruns.raw_copy()
         N_scan = len(subruns)
-        stress_values = np.random.randn(N_scan, 3)
+        # Local, freshly-seeded generator -- not the implicit global numpy RNG state, which is
+        # shared process-wide and would couple this test's values to unrelated tests' draws.
+        stress_values = np.random.default_rng(seed=0).standard_normal((N_scan, 3))
 
         ws._sample_logs[HidraConstants.STRESS_FIELD] = stress_values
         # Direction is stored as array with same value for each subrun
@@ -155,16 +141,15 @@ def test_Sample_stress_field_present(
         else:
             assert direction_val == "z"
 
-    def test_Sample_stress_field_shape_mismatch(self, load_HidraWorkspace: Callable[..., HidraWorkspace]):
+    def test_Sample_stress_field_shape_mismatch(self, minimal_HidraWorkspace: Callable[..., HidraWorkspace]):
         """Verify RuntimeError when stress_field first axis != N_scan"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Add stress field with wrong shape
         subruns = ws._sample_logs.subruns.raw_copy()
         N_scan = len(subruns)
-        wrong_shape_stress = np.random.randn(N_scan + 5, 3)  # Wrong first dimension
+        # Local, freshly-seeded generator -- see test_Sample_stress_field_present for why.
+        wrong_shape_stress = np.random.default_rng(seed=0).standard_normal((N_scan + 5, 3))  # Wrong first dimension
 
         # Set `_data` dict directly, otherwise `SampleLogs.__setitem__` itself will raise an exception.
         ws._sample_logs._data[HidraConstants.STRESS_FIELD] = wrong_shape_stress
@@ -174,12 +159,10 @@ def test_Sample_stress_field_shape_mismatch(self, load_HidraWorkspace: Callable[
 
     def test_Sample_coordinate_shape_mismatch(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify RuntimeError when coordinate array axis != N_scan"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Corrupt vx to have wrong size by directly manipulating the logs
         subruns = ws._sample_logs.subruns.raw_copy()
@@ -196,12 +179,10 @@ def test_Sample_coordinate_shape_mismatch(
 
     def test_Sample_extra_logs(
         self,
-        load_HidraWorkspace: Callable[..., HidraWorkspace],
+        minimal_HidraWorkspace: Callable[..., HidraWorkspace],
     ):
         """Verify logs not in NXstress_logs go to logs NXcollection with local_name"""
-        ws = load_HidraWorkspace(
-            file_name=self.PROJECT_FILE_B, name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
+        ws = minimal_HidraWorkspace(with_instrument=False)
 
         # Add a custom log with ':' in the name and units using tuple syntax
         custom_log_name = "HB2B:CS:CustomValue"
diff --git a/tests/unit/pyrs/utilities/NXstress/test_workspace_read.py b/tests/unit/pyrs/utilities/NXstress/test_workspace_read.py
index bf0d54818..1cb67c1f9 100644
--- a/tests/unit/pyrs/utilities/NXstress/test_workspace_read.py
+++ b/tests/unit/pyrs/utilities/NXstress/test_workspace_read.py
@@ -27,38 +27,13 @@
 
 
 @pytest.fixture
-def roundtrip_nxstress(load_HidraWorkspace, createPeakCollection, tmp_path):
+def roundtrip_nxstress(minimal_HidraWorkspace, createPeakCollection, tmp_path):
     """Fixture that writes and reads back a workspace with peaks"""
 
-    # Load a workspace with instrument geometry
-    ws_original = load_HidraWorkspace(
-        file_name="HB2B_1017_w_mask.h5", name="test_workspace", load_raw_counts=True, load_reduced_diffraction=True
+    ws_original = minimal_HidraWorkspace(
+        with_instrument=True, with_masks=True, with_raw_counts=True, with_reduced_diffraction=True
     )
 
-    # Set up instrument geometry if not present
-    if ws_original._instrument_setup is None:
-        from pyrs.core.instrument_geometry import DENEXDetectorGeometry, DENEXDetectorShift
-
-        geometry = DENEXDetectorGeometry(
-            num_rows=512,
-            num_columns=512,
-            pixel_size_x=0.001,  # 1 mm in meters
-            pixel_size_y=0.001,  # 1 mm in meters
-            arm_length=2.0,  # 2 meters
-            calibrated=True,
-        )
-        ws_original.set_instrument_geometry(geometry)
-
-        # Set detector shift for calibrated geometry
-        shift = DENEXDetectorShift(
-            shift_x=0.01, shift_y=0.02, shift_z=0.03, rotation_x=1.0, rotation_y=2.0, rotation_z=3.0, tth_0=0.5
-        )
-        ws_original.set_detector_shift(shift)
-
-    # Set wavelength if not present (test data may lack monochromator settings)
-    if ws_original.get_wavelength(calibrated=True, throw_if_not_set=False) is None:
-        ws_original.set_wavelength(1.486, calibrated=True)
-
     # Create 2 PeakCollection objects
     subruns = ws_original._sample_logs.subruns.raw_copy()
     N_subrun = len(subruns)
@@ -250,20 +225,9 @@ def test_full_roundtrip(self, roundtrip_nxstress):
 class TestReadErrors:
     """Test error handling in read operations"""
 
-    def test_read_nonexistent_entry(self, load_HidraWorkspace, tmp_path):
+    def test_read_nonexistent_entry(self, minimal_HidraWorkspace, tmp_path):
         """Attempt to read non-existent entry → KeyError"""
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1017.h5", name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
-
-        # Set up instrument geometry if not present
-        if ws._instrument_setup is None:
-            from pyrs.core.instrument_geometry import DENEXDetectorGeometry
-
-            geometry = DENEXDetectorGeometry(
-                num_rows=512, num_columns=512, pixel_size_x=0.001, pixel_size_y=0.001, arm_length=2.0, calibrated=False
-            )
-            ws.set_instrument_geometry(geometry)
+        ws = minimal_HidraWorkspace(with_instrument=True)
 
         nxstress_file = tmp_path / "test_nonexistent.nxs"
         with NXstress(nxstress_file, mode="w") as nxs:
@@ -273,21 +237,10 @@ def test_read_nonexistent_entry(self, load_HidraWorkspace, tmp_path):
             with NXstress(nxstress_file, mode="r") as nxs:
                 nxs.read(entry_number=99)
 
-    def test_read_outside_context_manager(self, load_HidraWorkspace, tmp_path):
+    def test_read_outside_context_manager(self, minimal_HidraWorkspace, tmp_path):
         """Call read() outside context manager → RuntimeError"""
-        # First create a valid NXstress file
-        ws = load_HidraWorkspace(
-            file_name="HB2B_1017.h5", name="test_workspace", load_raw_counts=False, load_reduced_diffraction=True
-        )
-
-        # Set up instrument geometry if not present
-        if ws._instrument_setup is None:
-            from pyrs.core.instrument_geometry import DENEXDetectorGeometry
-
-            geometry = DENEXDetectorGeometry(
-                num_rows=512, num_columns=512, pixel_size_x=0.001, pixel_size_y=0.001, arm_length=2.0, calibrated=False
-            )
-            ws.set_instrument_geometry(geometry)
+        # Build a valid NXstress file
+        ws = minimal_HidraWorkspace(with_instrument=True)
 
         nxstress_file = tmp_path / "test_outside_context.nxs"
         with NXstress(nxstress_file, mode="w") as nxs:
diff --git a/tests/unit/pyrs/utilities/conftest.py b/tests/unit/pyrs/utilities/conftest.py
new file mode 100644
index 000000000..553f86583
--- /dev/null
+++ b/tests/unit/pyrs/utilities/conftest.py
@@ -0,0 +1,93 @@
+"""
+Shared fixtures for tests of `pyrs/utilities/`.
+
+Fixture conventions
+--------------------
+- `default_config` — a test-isolated `neutrons_standard.Config` singleton (see
+  `pyrs/utilities/config.py`). Every test that requests it gets a genuinely fresh
+  instance (`reset_Singletons()`) loaded against a `HOME` pointed at `tmp_path`, so
+  a test can never write into (or accidentally read an override from) the real
+  user's `~/.pyrs/` directory, and one test's config changes can never leak into
+  the next. Required for any test that touches `pyrs.utilities.config.Config` --
+  importing that module unconditionally writes a backup file to `~/.pyrs/` as a
+  side effect of loading, real home directory included, if not for this fixture.
+  Defined here (rather than under `NXstress/`) since `pyrs/utilities/config.py`
+  isn't itself NXstress-specific code; being one directory up, it's visible to
+  `NXstress/` tests as well as siblings of this file (e.g. `test_config.py`).
+"""
+
+from collections.abc import Generator
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import pytest
+
+if TYPE_CHECKING:
+    # Only for type-checking -- a real runtime import here would race
+    # neutrons_standard.init("pyrs") exactly like importing it anywhere else in this
+    # codebase would (see pyrs/utilities/config.py's module docstring). TYPE_CHECKING
+    # guards this from ever executing.
+    from neutrons_standard.config import _Config
+
+
+@pytest.fixture
+def default_config(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Generator["_Config"]:
+    """Yield a `neutrons_standard.Config` singleton, fully isolated from the real environment.
+
+    Setup: monkeypatches `HOME` to `tmp_path` and clears any `env` override, then
+    resets and reloads the singleton (both `neutrons_standard.config` and
+    `pyrs.utilities.config`) so it picks up the redirected `HOME` -- `reset_Singletons()`
+    alone only clears the `Singleton` decorator's internal state; it does not change
+    what an already-imported module's `Config` name refers to.
+
+    Cleanup: resets and reloads the singleton again after the test, so the next test
+    (or any later code importing `pyrs.utilities.config.Config`) gets a clean instance
+    rather than one still holding this test's `tmp_path`-scoped `HOME` or `env`
+    override.
+
+    Args:
+        tmp_path: Pytest's built-in per-test temporary directory; used as the fake
+            `HOME` so `neutrons_standard.Config`'s real side effects (writing a backup
+            file to `~/.{package_name}/`) never touch the real user's home.
+        monkeypatch: Pytest's built-in fixture for reversible env-var patching.
+
+    Yields:
+        The live `neutrons_standard.Config` singleton (via
+        `pyrs.utilities.config.Config`), loaded against the isolated `HOME`.
+    """
+    # `neutrons_standard.Config` is a process-wide singleton: every `reload()` writes a
+    # backup to `~/.{package_name}/application.yml.bak`, and it may auto-swap onto a
+    # pre-existing `~/.{package_name}/{package_name}-user.yml` override -- both against
+    # the REAL home directory, unless we redirect `HOME` first. `reset_Singletons()`
+    # alone only clears the Singleton decorator's internal `instance`/`initialized`
+    # state; it does not change what an *already-imported* module's `Config` name
+    # refers to, so the modules that bind it must also be reloaded.
+    #
+    # Import order matters and is easy to get backwards: `pyrs.utilities.config` must
+    # be imported (or already have been) *before* `neutrons_standard.config` is ever
+    # directly touched, because its module body calls `neutrons_standard.init("pyrs")`
+    # before importing `Config` -- `neutrons_standard.config`'s own module-level
+    # `package_name = Spec.client_package_name` line is captured once, at whichever
+    # import happens first. Importing `neutrons_standard.config` here ourselves, ahead
+    # of `pyrs.utilities.config`, would reproduce that exact bug.
+    import importlib
+    import sys
+
+    from neutrons_standard.decorators.singleton import reset_Singletons
+
+    monkeypatch.setenv("HOME", str(tmp_path))
+    monkeypatch.delenv("env", raising=False)
+
+    reset_Singletons()
+    import pyrs.utilities.config  # first-ever import correctly calls init() before Config
+
+    importlib.reload(sys.modules["neutrons_standard.config"])
+    importlib.reload(pyrs.utilities.config)
+
+    yield pyrs.utilities.config.Config
+
+    # Leave a clean, freshly-reset singleton behind for the next test, rather than one
+    # holding this test's `tmp_path`-scoped `HOME` and any `env` override it applied.
+    reset_Singletons()
+    importlib.reload(sys.modules["neutrons_standard.config"])
+    importlib.reload(pyrs.utilities.config)
diff --git a/tests/unit/pyrs/utilities/test_calibration_file_io.py b/tests/unit/pyrs/utilities/test_calibration_file_io.py
index 0afb42e09..dbe07fda0 100644
--- a/tests/unit/pyrs/utilities/test_calibration_file_io.py
+++ b/tests/unit/pyrs/utilities/test_calibration_file_io.py
@@ -28,6 +28,7 @@ def test_check_calibration_status_nonnegative_status_ok(status):
     # Assert - no exception raised
 
 
+@pytest.mark.integration
 def test_calibration_json_io():
     """Test the calibration file (in Json format) I/O methods
 
diff --git a/tests/unit/pyrs/utilities/test_config.py b/tests/unit/pyrs/utilities/test_config.py
new file mode 100644
index 000000000..53ae97b8a
--- /dev/null
+++ b/tests/unit/pyrs/utilities/test_config.py
@@ -0,0 +1,111 @@
+"""
+Tests for `pyrs/utilities/config.py`.
+
+Every test here requests the `default_config` fixture (see
+`tests/unit/pyrs/utilities/conftest.py`) and imports `pyrs.utilities.config` only
+*inside* the test body -- never at module level. A module-level import would run
+`pyrs.utilities.config`'s side effects (writing a backup file under `~/.pyrs/`)
+against the real home directory at test-collection time, before the fixture has had
+a chance to redirect `HOME` to a `tmp_path`.
+"""
+
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    # Only for type-checking -- see tests/unit/pyrs/utilities/conftest.py's
+    # `default_config` fixture for why a real runtime import here is unsafe.
+    from neutrons_standard.config import _Config
+
+
+def test_default_config_loads_shipped_defaults(default_config: "_Config") -> None:
+    """Test that the shipped `pyrs/resources/application.yml` values load unmodified."""
+    # Arrange / Act
+    config = default_config
+
+    # Assert
+    assert config["nxstress.enable"] is True
+    assert config["nxstress.extension"] == ".nxs"
+    assert config["nxstress.use_production_names"] is False
+    assert config["legacy_io.enable"] is True
+    assert config["legacy_io.extension"] == ".h5"
+
+
+def test_default_config_env_override_merges_on_top_of_default(default_config: "_Config", tmp_path: Path) -> None:
+    """Test that an `env`-named override file deep-merges onto the shipped default.
+
+    Only `nxstress.enable` is overridden; `legacy_io.*` (untouched by the override
+    file) must still come through from the shipped default -- confirming a merge,
+    not a wholesale replacement.
+    """
+    # Arrange
+    override_file = tmp_path / "override.yml"
+    override_file.write_text("nxstress:\n  enable: false\n")
+
+    # Act
+    config = default_config
+    config.loadEnv(str(override_file))
+
+    # Assert
+    assert config["nxstress.enable"] is False
+    assert config["legacy_io.enable"] is True  # unaffected key survives the merge
+
+
+def test_validate_config_passes_with_shipped_defaults(default_config: "_Config") -> None:
+    """Test that `validate_config()` raises nothing when both formats are enabled."""
+    # Arrange
+    import pyrs.utilities.config as config_module
+
+    # Act / Assert
+    config_module.validate_config()  # no exception
+
+
+def test_validate_config_raises_when_both_formats_disabled(default_config: "_Config", tmp_path: Path) -> None:
+    """Test that `validate_config()` rejects a config with no output format enabled."""
+    # Arrange
+    import pytest
+
+    import pyrs.utilities.config as config_module
+
+    override_file = tmp_path / "override.yml"
+    override_file.write_text("nxstress:\n  enable: false\nlegacy_io:\n  enable: false\n")
+    default_config.loadEnv(str(override_file))
+
+    # Act / Assert
+    with pytest.raises(ValueError, match="At least one of nxstress.enable or legacy_io.enable must be true"):
+        config_module.validate_config()
+
+
+def test_validate_nxstress_enable_not_bool(default_config: "_Config", tmp_path: Path) -> None:
+    """Test that a non-bool `nxstress.enable` (e.g. a quoted YAML string) is rejected
+    up front, rather than silently passing the truthiness check (`bool("false")` is
+    `True` in Python).
+    """
+    # Arrange
+    import pytest
+
+    import pyrs.utilities.config as config_module
+
+    override_file = tmp_path / "override.yml"
+    override_file.write_text('nxstress:\n  enable: "false"\n')  # quoted -- stays a str, not a bool
+    default_config.loadEnv(str(override_file))
+
+    # Act / Assert
+    with pytest.raises(RuntimeError, match='Config\\["nxstress.enable"\\] must be a bool'):
+        config_module.validate_config()
+
+
+def test_validate_legacy_io_enable_not_bool(default_config: "_Config", tmp_path: Path) -> None:
+    """Test that a non-bool `legacy_io.enable` (e.g. an int) is rejected up front."""
+    # Arrange
+    import pytest
+
+    import pyrs.utilities.config as config_module
+
+    override_file = tmp_path / "override.yml"
+    override_file.write_text("legacy_io:\n  enable: 1\n")  # int, not a bool
+    default_config.loadEnv(str(override_file))
+
+    # Act / Assert
+    with pytest.raises(RuntimeError, match='Config\\["legacy_io.enable"\\] must be a bool'):
+        config_module.validate_config()
diff --git a/tests/unit/pyrs/utilities/test_file_util.py b/tests/unit/pyrs/utilities/test_file_util.py
index 02c198c7e..6260e2444 100644
--- a/tests/unit/pyrs/utilities/test_file_util.py
+++ b/tests/unit/pyrs/utilities/test_file_util.py
@@ -27,6 +27,7 @@ def test_parse_integers():
 
 
 @pytest.mark.skipif(not os.path.exists("/HFIR/HB2B/shared/"), reason="HFIR data archive is not mounted")
+@pytest.mark.integration
 def test_get_ipts_dir():
     """Test to get IPTS directory from run number
 
@@ -57,6 +58,7 @@ def test_get_ipts_dir():
 
 
 @pytest.mark.skipif(not os.path.exists("/HFIR/HB2B/shared/"), reason="HFIR data archive is not mounted")
+@pytest.mark.integration
 def test_get_default_output_dir():
     assert get_default_output_dir(1060) == "/HFIR/HB2B/IPTS-22731/shared/manualreduce", (
         "Output directory is not correct for run 1060"
@@ -68,6 +70,7 @@ def test_get_default_output_dir():
 
 
 @pytest.mark.skipif(not os.path.exists("/HFIR/HB2B/shared/"), reason="HFIR data archive is not mounted")
+@pytest.mark.integration
 def test_get_input_project_file():
     assert get_input_project_file(1060) == "/HFIR/HB2B/IPTS-22731/shared/manualreduce", (
         "Output directory is not correct for run 1060"
@@ -83,6 +86,7 @@ def test_get_input_project_file():
 
 
 @pytest.mark.skipif(not os.path.exists("/HFIR/HB2B/shared/"), reason="HFIR data archive is not mounted")
+@pytest.mark.integration
 def test_get_nexus_file():
     assert get_nexus_file(1060) == "/HFIR/HB2B/IPTS-22731/nexus/HB2B_1060.nxs.h5"
     assert get_nexus_file(1017) == "/HFIR/HB2B/IPTS-22731/nexus/HB2B_1017.nxs.h5"
diff --git a/tests/util/peak_collection_helpers.py b/tests/util/peak_collection_helpers.py
index 53eeebe8d..fd54d79b2 100644
--- a/tests/util/peak_collection_helpers.py
+++ b/tests/util/peak_collection_helpers.py
@@ -9,12 +9,20 @@
 
 import pytest
 
-RNG = np.random.default_rng(seed=0x923F109B1D944AF5)
+# Fixed literal seed for full reproducibility:
+# Each consuming RNG is re-instantiated fresh inside the fixture
+# below (not held at module scope) so that no test's random draws depend on how many draws
+# earlier tests happened to consume from a shared stream.
+_SEED = 0x923F109B1D944AF5
 
 
 @pytest.fixture
 def createPeakCollection() -> Generator[Callable[..., PeakCollection]]:
     # This fixture generates a `PeakCollection` instance initialized using random values.
+    # A fresh, identically-seeded RNG is created per test invocation (see `_SEED` above):
+    # every test that requests this fixture gets the same deterministic sequence of draws,
+    # regardless of what other tests ran before it in the same session.
+    rng = np.random.default_rng(seed=_SEED)
 
     def _init(
         *,
@@ -28,8 +36,16 @@ def _init(
         exclude_list=None,
         N_counts=1000,  # range for random counts
         N_span=10000.0,  # domain for random axes
-        error_fraction=0.01,  # fractional error for various initializations
+        error_fraction_min=0.005,  # minimum fractional error (0.5%), as a fraction of the value drawn
+        error_fraction_max=0.05,  # maximum fractional error (5%), as a fraction of the value drawn
     ) -> PeakCollection:
+        if not (0 < error_fraction_min <= error_fraction_max):
+            raise ValueError(
+                "createPeakCollection: invalid error_fraction bounds "
+                f"(error_fraction_min={error_fraction_min}, error_fraction_max={error_fraction_max}); "
+                "require 0 < error_fraction_min <= error_fraction_max"
+            )
+
         peaks = PeakCollection(
             peak_tag,
             peak_profile,
@@ -49,6 +65,15 @@ def _init(
 
         # Ensure that the parameter values are somewhat physically meaningful:
         #   for example, no negative peak widths or out-of-range mixing fractions.
+        # Uncertainties are drawn as a bounded, non-degenerate *fraction of the value itself*
+        #   (never as an absolute range independent of the value): this keeps the ratio between
+        #   any two parameters' relative uncertainties bounded by error_fraction_max/error_fraction_min,
+        #   which is what actually bounds the condition number of downstream error-propagation
+        #   formulas that recombine several parameters' uncertainties (see e.g.
+        #   pyrs/utilities/NXstress/_fit.py's PseudoVoigt Intensity-from-Height inversion, which
+        #   subtracts comparable-magnitude terms and would otherwise amplify float32 rounding
+        #   noise without bound whenever a draw happened to make one parameter's absolute
+        #   uncertainty tiny relative to its value).
         params = peaks._peak_profile.native_parameters
         dtypes = dict(get_parameter_dtype(peaks._peak_profile, peaks._background_type))
         param_values = np.zeros(N_subrun, list(dtypes.items()))
@@ -57,24 +82,23 @@ def _init(
             dtype = dtypes[param]
             match param:
                 case "Height" | "Intensity":
-                    vs = RNG.uniform(0.0, N_counts, size=(N_subrun,)).astype(dtype)
-                    es = RNG.uniform(0.0, error_fraction * N_counts, size=(N_subrun,)).astype(dtype)
+                    vs = rng.uniform(0.0, N_counts, size=(N_subrun,)).astype(dtype)
                 case "PeakCentre":
-                    vs = RNG.uniform(0.0, N_span, size=(N_subrun,)).astype(dtype)
-                    es = RNG.uniform(0.0, error_fraction * N_span, size=(N_subrun,)).astype(dtype)
+                    vs = rng.uniform(0.0, N_span, size=(N_subrun,)).astype(dtype)
                 case "Sigma" | "FWHM":
-                    vs = RNG.uniform(0.0, N_span / 10.0, size=(N_subrun,)).astype(dtype)
-                    es = RNG.uniform(0.0, error_fraction * N_span / 10.0, size=(N_subrun,)).astype(dtype)
+                    vs = rng.uniform(0.0, N_span / 10.0, size=(N_subrun,)).astype(dtype)
                 case "Mixing":
-                    vs = RNG.uniform(0.0, 1.0, size=(N_subrun,)).astype(dtype)
-                    es = RNG.uniform(0.0, error_fraction * 1.0, size=(N_subrun,)).astype(dtype)
+                    vs = rng.uniform(0.0, 1.0, size=(N_subrun,)).astype(dtype)
                 case _:
                     raise RuntimeError(f"`createPeakCollection`: unexpected param '{param}'")
 
+            fraction = rng.uniform(error_fraction_min, error_fraction_max, size=(N_subrun,))
+            es = (fraction * vs).astype(dtype)
+
             param_values[param] = vs
             param_errors[param] = es
 
-        fit_costs = RNG.uniform(0.0, 100.0, size=(N_subrun,)).astype(dtype)
+        fit_costs = rng.uniform(0.0, 100.0, size=(N_subrun,)).astype(dtype)
 
         peaks.set_peak_fitting_values(subruns, param_values, param_errors, fit_costs, exclude_list)
         return peaks
diff --git a/tests/util/test_peak_collection_helpers.py b/tests/util/test_peak_collection_helpers.py
new file mode 100644
index 000000000..ca9be36f8
--- /dev/null
+++ b/tests/util/test_peak_collection_helpers.py
@@ -0,0 +1,37 @@
+"""Tests for tests/util/peak_collection_helpers.py."""
+
+import pytest
+
+from tests.util.peak_collection_helpers import createPeakCollection  # noqa: F401
+
+
+def test_inverted_error_fraction_bounds_raises(createPeakCollection) -> None:  # noqa: F811
+    """Test that createPeakCollection rejects error_fraction_min > error_fraction_max."""
+    with pytest.raises(ValueError, match="invalid error_fraction bounds"):
+        createPeakCollection(
+            peak_tag="t",
+            peak_profile="Gaussian",
+            background_type="Linear",
+            wavelength=1.0,
+            projectfilename="/does/not/exist.h5",
+            runnumber=1,
+            N_subrun=1,
+            error_fraction_min=0.05,
+            error_fraction_max=0.005,  # inverted
+        )
+
+
+def test_zero_error_fraction_min_raises(createPeakCollection) -> None:  # noqa: F811
+    """Test that createPeakCollection rejects a non-positive error_fraction_min."""
+    with pytest.raises(ValueError, match="invalid error_fraction bounds"):
+        createPeakCollection(
+            peak_tag="t",
+            peak_profile="Gaussian",
+            background_type="Linear",
+            wavelength=1.0,
+            projectfilename="/does/not/exist.h5",
+            runnumber=1,
+            N_subrun=1,
+            error_fraction_min=0.0,
+            error_fraction_max=0.05,
+        )