Uncertainty Part 1.5: Adding in quadrature#2933
Uncertainty Part 1.5: Adding in quadrature#2933sevyharris wants to merge 5 commits intoReactionMechanismGenerator:mainfrom
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Regression Testing Results
Detailed regression test results.Regression test aromatics:Reference: Execution time (DD:HH:MM:SS): 00:00:00:54 aromatics Passed Core Comparison ✅Original model has 15 species. aromatics Failed Edge Comparison ❌Original model has 106 species. Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s2_3_5_ane) - ring(Cyclopropane) - ring(Cyclopentane) + ring(Cyclopentene) + ring(Cyclopropane) + polycyclic(s2_3_6_diene_0_3) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclopentane) - ring(Cyclohexane) + ring(Cyclopentene) + ring(1,4-Cyclohexadiene) - ring(Cyclopropane) - ring(Cyclopentene) - ring(1,4-Cyclohexadiene) + radical(cyclopentene-4) Non-identical thermo! ❌
Identical thermo comments: Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: Aromatics Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! aromatics Passed Observable Testing ✅Regression test liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:54 liquid_oxidation Passed Core Comparison ✅Original model has 37 species. liquid_oxidation Failed Edge Comparison ❌Original model has 214 species. DetailsObservables Test Case: liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! liquid_oxidation Passed Observable Testing ✅Regression test nitrogen:Reference: Execution time (DD:HH:MM:SS): 00:00:01:00 nitrogen Failed Core Comparison ❌Original model has 41 species. nitrogen Failed Edge Comparison ❌Original model has 133 species. DetailsObservables Test Case: NC Comparison✅ All Observables varied by less than 0.200 on average between old model and new model in all conditions! nitrogen Passed Observable Testing ✅Regression test oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:40 oxidation Passed Core Comparison ✅Original model has 59 species. oxidation Passed Edge Comparison ✅Original model has 230 species. DetailsObservables Test Case: Oxidation Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! oxidation Passed Observable Testing ✅Errors occurred during observable testing
WARNING:root:Initial mole fractions do not sum to one; normalizing.
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Regression Testing Results
Detailed regression test results.Regression test aromatics:Reference: Execution time (DD:HH:MM:SS): 00:00:00:55 aromatics Passed Core Comparison ✅Original model has 15 species. aromatics Failed Edge Comparison ❌Original model has 106 species. Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s2_3_5_ane) - ring(Cyclopropane) - ring(Cyclopentane) + ring(Cyclopentene) + ring(Cyclopropane) + polycyclic(s2_3_6_diene_0_3) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclopentane) - ring(Cyclohexane) + ring(Cyclopentene) + ring(1,4-Cyclohexadiene) - ring(Cyclopropane) - ring(Cyclopentene) - ring(1,4-Cyclohexadiene) + radical(cyclopentene-4) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds- Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + polycyclic(s2_3_5_ene_1) + polycyclic(s2_3_6_diene_1_3) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclopentane) - ring(Cyclohexane) + ring(Cyclopentene) + ring(1,3-Cyclohexadiene) - ring(Cyclopropane) - ring(Cyclopentene) - ring(1,3-Cyclohexadiene) + radical(cyclopentene-allyl) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)(Cds-Cds)) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsCsH) + group(Cdd-CdsCds) + Estimated bicyclic component: polycyclic(s4_6_6_ane) - ring(Cyclohexane) - ring(Cyclohexane) + ring(124cyclohexatriene) + ring(124cyclohexatriene) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)(Cds-Cds)) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + Estimated bicyclic component: polycyclic(s4_6_6_ane) - ring(Cyclohexane) - ring(Cyclohexane) + ring(1,4-Cyclohexadiene) + ring(1,3-Cyclohexadiene) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cds-Cds(Cds-Cds)(Cds-Cds)) + group(Cds- CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + Estimated bicyclic component: polycyclic(s4_6_6_ane) - ring(Cyclohexane) - ring(Cyclohexane) + ring(1,4-Cyclohexadiene) + ring(1,3-Cyclohexadiene) + radical(Cds_P) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cds-Cds(Cds-Cds)(Cds-Cds)) + group(Cds- CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + Estimated bicyclic component: polycyclic(s4_6_6_ane) - ring(Cyclohexane) - ring(Cyclohexane) + ring(1,4-Cyclohexadiene) + ring(1,3-Cyclohexadiene) Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: Aromatics Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! aromatics Passed Observable Testing ✅Regression test liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:56 liquid_oxidation Passed Core Comparison ✅Original model has 37 species. liquid_oxidation Failed Edge Comparison ❌Original model has 214 species. Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! liquid_oxidation Passed Observable Testing ✅Regression test nitrogen:Reference: Execution time (DD:HH:MM:SS): 00:00:01:01 nitrogen Failed Core Comparison ❌Original model has 41 species. nitrogen Failed Edge Comparison ❌Original model has 133 species. Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(O2s-CdN3d) + group(N3d-OCd) + group(Cd-HN3dO) + ring(Cyclopropene) + radical(CdJ-NdO) Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: NC Comparison✅ All Observables varied by less than 0.200 on average between old model and new model in all conditions! nitrogen Passed Observable Testing ✅Regression test oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:40 oxidation Passed Core Comparison ✅Original model has 59 species. oxidation Passed Edge Comparison ✅Original model has 230 species. DetailsObservables Test Case: Oxidation Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! oxidation Passed Observable Testing ✅Errors occurred during observable testing
WARNING:root:Initial mole fractions do not sum to one; normalizing.
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Regression Testing Results
Detailed regression test results.Regression test aromatics:Reference: Execution time (DD:HH:MM:SS): 00:00:00:55 aromatics Passed Core Comparison ✅Original model has 15 species. aromatics Passed Edge Comparison ✅Original model has 106 species. DetailsObservables Test Case: Aromatics Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! aromatics Passed Observable Testing ✅Regression test liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:55 liquid_oxidation Passed Core Comparison ✅Original model has 37 species. liquid_oxidation Failed Edge Comparison ❌Original model has 214 species. Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! liquid_oxidation Passed Observable Testing ✅Regression test nitrogen:Reference: Execution time (DD:HH:MM:SS): 00:00:01:01 nitrogen Passed Core Comparison ✅Original model has 41 species. nitrogen Passed Edge Comparison ✅Original model has 133 species. DetailsObservables Test Case: NC Comparison✅ All Observables varied by less than 0.200 on average between old model and new model in all conditions! nitrogen Passed Observable Testing ✅Regression test oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:40 oxidation Passed Core Comparison ✅Original model has 59 species. oxidation Passed Edge Comparison ✅Original model has 230 species. DetailsObservables Test Case: Oxidation Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! oxidation Passed Observable Testing ✅Errors occurred during observable testing
WARNING:root:Initial mole fractions do not sum to one; normalizing.
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Regression Testing Results
Detailed regression test results.Regression test aromatics:Reference: Execution time (DD:HH:MM:SS): 00:00:00:56 aromatics Passed Core Comparison ✅Original model has 15 species. aromatics Failed Edge Comparison ❌Original model has 106 species. Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s2_4_5_diene_1_5) + polycyclic(s3_4_5_ene_3) + polycyclic(s2_5_5_diene_1_5) - ring(Cyclobutene) - ring(Cyclopentene) - ring(Cyclopentene) + radical(cyclopentene-allyl) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s2_3_5_ane) - ring(Cyclopentane) - ring(Cyclopropane) + ring(Cyclopentene) + ring(Cyclopropane) + polycyclic(s2_3_6_diene_0_3) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(1,4-Cyclohexadiene) + ring(Cyclopentene) - ring(Cyclopropane) - ring(Cyclopentene) - ring(1,4-Cyclohexadiene) + radical(cyclopentene-4) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds- Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + polycyclic(s2_3_5_ene_1) + polycyclic(s2_3_6_ene_1) + Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) - ring(Cyclopropane) - ring(Cyclopentene) - ring(Cyclohexene) + radical(cyclopentene-allyl) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cds- Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + polycyclic(s2_4_4_ene_1) + polycyclic(s3_4_6_ene_1) + polycyclic(s3_4_6_diene_1_5) - ring(Cyclobutane) - ring(Cyclobutene) - ring(Cyclohexene) + radical(cyclobutane) Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: Aromatics Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! aromatics Passed Observable Testing ✅Regression test liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:02:01 liquid_oxidation Passed Core Comparison ✅Original model has 37 species. liquid_oxidation Passed Edge Comparison ✅Original model has 214 species. DetailsObservables Test Case: liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! liquid_oxidation Passed Observable Testing ✅Regression test nitrogen:Reference: Execution time (DD:HH:MM:SS): 00:00:01:04 nitrogen Failed Core Comparison ❌Original model has 41 species. nitrogen Failed Edge Comparison ❌Original model has 133 species. DetailsObservables Test Case: NC Comparison✅ All Observables varied by less than 0.200 on average between old model and new model in all conditions! nitrogen Passed Observable Testing ✅Regression test oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:48 oxidation Passed Core Comparison ✅Original model has 59 species. oxidation Passed Edge Comparison ✅Original model has 230 species. DetailsObservables Test Case: Oxidation Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! oxidation Passed Observable Testing ✅Errors occurred during observable testing
WARNING:root:Initial mole fractions do not sum to one; normalizing.
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Pull request overview
This PR updates RMG-Py’s uncertainty tool to combine independent uncertainty contributions in quadrature (variance-additive) rather than linearly, and extends/aligns the tooling and examples for adsorption/surface-related sources.
Changes:
- Switch thermo and kinetics uncertainty aggregation from linear addition to quadrature (sum of variances, then sqrt).
- Extend uncertainty source handling for adsorption corrections and surface library sources; add extraction of autogenerated-tree node uncertainty metadata.
- Update/extend unit tests and the
local_uncertaintynotebook to reflect the quadrature math and new source types.
Reviewed changes
Copilot reviewed 7 out of 7 changed files in this pull request and generated 7 comments.
Show a summary per file
| File | Description |
|---|---|
rmgpy/tools/uncertainty.py |
Implements quadrature aggregation; adds ADS/surface source handling; attempts to extract autogenerated-tree node uncertainty metadata. |
rmgpy/data/thermo.py |
Adds parsing for “Gas phase thermo … Adsorption correction …” comments to return an ADS source contribution. |
rmgpy/data/kinetics/family.py |
Adds an autogenerated flag to extracted kinetics source dicts for rate rules. |
rmgpy/tools/loader.py |
Threads surface_path through job loading to support surface Chemkin inputs. |
test/rmgpy/tools/uncertaintyTest.py |
Updates expected uncertainty values and adds targeted tests for specific species thermo uncertainties. |
test/rmgpy/data/thermoTest.py |
Adds coverage for surface/adsorption thermo comment parsing and round-trip behavior. |
ipython/local_uncertainty.ipynb |
Updates the math narrative to explain variance-additive (quadrature) uncertainty propagation. |
Comments suppressed due to low confidence (1)
rmgpy/tools/uncertainty.py:309
get_partial_uncertainty_value(..., corr_source_type='Estimation')is still addingdlnk_familyand the non-exact penalty linearly, butget_uncertainty_value()now combines these components in quadrature. This makes correlated local uncertainty inconsistent (it will effectively use(a+b)^2instead ofa^2+b^2). Please update the estimation partial uncertainty to return the quadrature-combined standard deviation for the estimation component.
N = len(source_dict['rules']) + len(source_dict['training'])
if not exact:
# nonexactness contribution increases as N increases
dlnk += np.log10(N + 1) * self.dlnk_nonexact
return dlnk
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Pull request overview
This PR updates RMG-Py’s uncertainty tool to combine independent uncertainty contributions in quadrature (i.e., add variances rather than standard deviations), and updates the associated tests and user notebook explanation accordingly.
Changes:
- Update thermo and kinetics uncertainty aggregation to sum variances and return the resulting standard deviation.
- Change the default thermo group uncertainty parameter (
dG_group) and update unit tests to the new expected uncertainty values. - Revise the math explanation in
ipython/local_uncertainty.ipynbto describe quadrature-based uncertainty propagation.
Reviewed changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
rmgpy/tools/uncertainty.py |
Switches uncertainty aggregation for thermo/kinetics sources to variance-summing with a final square root; updates dG_group default. |
test/rmgpy/tools/uncertaintyTest.py |
Updates expected thermo/kinetics uncertainty values to match quadrature aggregation and new defaults. |
ipython/local_uncertainty.ipynb |
Updates the written derivation to explain adding uncertainties in quadrature; minor notebook metadata cleanup. |
Comments suppressed due to low confidence (1)
rmgpy/tools/uncertainty.py:53
- The docstring defines
dGas(Gmax-Gmin)/2(half-range), but the rest of this module treatsget_uncertainty_value()as returning a standard deviation (consistent with the notebook’s1/sqrt(12)relationship and theget_uncertainty_factor()conversion). Please update the docstring equation/wording to avoid misleading users about what thedG_*parameters represent.
in units of kcal/mol.
We expect a uniform distribution for some species free energy G in [Gmin, Gmax].
dG = (Gmax-Gmin)/2
"""
Regression Testing Results
Detailed regression test results.Regression test aromatics:Reference: Execution time (DD:HH:MM:SS): 00:00:00:56 aromatics Passed Core Comparison ✅Original model has 15 species. aromatics Failed Edge Comparison ❌Original model has 106 species. Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s2_4_4_ene_1) + polycyclic(s1_4_5_diene_1_6) + polycyclic(s3_4_5_ene_1) - ring(Cyclobutene) - ring(Cyclobutane) - ring(Cyclopentene) + radical(bicyclo[2.1.1]hex-2-ene-C5) Non-identical thermo! ❌
thermo: Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cds- Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + polycyclic(s2_4_4_ene_1) + polycyclic(s3_4_6_ene_1) + Estimated bicyclic component: polycyclic(s2_4_6_ane) - ring(Cyclohexane) - ring(Cyclobutane) + ring(Cyclohexene) + ring(Cyclobutene) - ring(Cyclobutane) - ring(Cyclobutene) - ring(Cyclohexene) + radical(cyclobutane) Non-identical kinetics! ❌
kinetics: Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: Aromatics Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! aromatics Passed Observable Testing ✅Regression test liquid_oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:59 liquid_oxidation Passed Core Comparison ✅Original model has 37 species. liquid_oxidation Failed Edge Comparison ❌Original model has 214 species. Non-identical kinetics! ❌
kinetics: DetailsObservables Test Case: liquid_oxidation Comparison✅ All Observables varied by less than 0.100 on average between old model and new model in all conditions! liquid_oxidation Passed Observable Testing ✅Regression test nitrogen:Reference: Execution time (DD:HH:MM:SS): 00:00:01:03 nitrogen Passed Core Comparison ✅Original model has 41 species. nitrogen Passed Edge Comparison ✅Original model has 133 species. DetailsObservables Test Case: NC Comparison✅ All Observables varied by less than 0.200 on average between old model and new model in all conditions! nitrogen Passed Observable Testing ✅Regression test oxidation:Reference: Execution time (DD:HH:MM:SS): 00:00:01:45 oxidation Passed Core Comparison ✅Original model has 59 species. oxidation Passed Edge Comparison ✅Original model has 230 species. DetailsObservables Test Case: Oxidation Comparison✅ All Observables varied by less than 0.500 on average between old model and new model in all conditions! oxidation Passed Observable Testing ✅Errors occurred during observable testing
WARNING:root:Initial mole fractions do not sum to one; normalizing.
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I've addressed all the copilot comments and now feel good about this PR. |
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Looks good. I looked at the notebook, read the code, checked a few of copilots suggestions that you'd addressed. And we've discussed it many times in recent months. I'm going to approve this.
One thing I noticed: there are a lot of x ** 2 patterns in this code.
I'm not sure if this is in a performance critical path, but when trying to squeeze every millisecond of efficiency out of some FORTRAN code when I was doing my thesis, I learned that x * x was much quicker than x ** 2. A habit that has stuck with me, and I notice it even when it doesn't matter.
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This value was fitted to median group additivity errors for 564 species with quality thermo libraries See: https://github.com/comocheng/uncertainty_estimator/blob/main/uncertainty_tool_dev/demos/quadrature/specific_examples.ipynb
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Thanks! That's good to know. I've added a commit to change that squaring pattern, which might now require reapproval. |
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Re-approved.
One extra thought I just had, before you internalize the x * x habit:
Something like f(x) * f(x) could be slower than f(x) ** 2 if f() is slow and ends up being repeated. Even sometimes just an attribute or element lookup like foo.bar[-1] * foo.bar[-1] might be enough to matter. Or np.log10(x+1) * np.log10(x+1).
But I don't think this is performance critical.
Dependencies
Motivation or Problem
This overhauls the uncertainty tool to add uncertainties in quadrature (variances add instead of standard deviations)
Description of Changes (each change corresponds to a commit)
Testing
1. Theory of Adding in Quadrature.pdf