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docs: remove stale checkboxes, consolidate README vs TODO

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- TODO.md: cross out completed A2 (detector response) and A4 (fitter/CW extraction) items with strikethrough and implementation notes
- README.md: replace redundant Components and Additional Modules tables with Implementation Status section referencing TODO.md
- Eliminates duplicate status tracking between README and TODO
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unzhakov
2026-05-04 16:01:54 +03:00
parent 3182ceb675
commit 0b5fe88f7b
2 changed files with 26 additions and 35 deletions
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TODO.md
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@@ -27,14 +27,16 @@ ______________________________________________________________________
### A2. Detector Response Function
- [ ] Implement analytical detector response function for 4π semiconductor detector
- Gaussian core with low-energy tail (charge collection effects)
- Parameters: energy resolution σ(E), tail fraction, tail shape
- Energy-dependent resolution σ(E) = a + b·√E
- [ ] Implement convolution/deconvolution routines
- Convolve theoretical spectrum with detector response for comparison to data
- Deconvolve measured spectrum to recover true shape (for initial C(W) extraction)
- Iterative unfolding (Richardson-Lucy or similar)
- [x] ~~Implement analytical detector response function for 4π semiconductor detector~~
- ~~Gaussian core with low-energy tail (charge collection effects)~~
- ~~Parameters: energy resolution σ(E), tail fraction, tail shape~~
- ~~Energy-dependent resolution σ(E) = a + b·√E~~
- ~~Implemented: Gaussian, Gaussian+tail, Tikhonov models with energy-dependent resolution and Fano factor~~
- [x] ~~Implement convolution/deconvolution routines~~
- ~~Convolve theoretical spectrum with detector response for comparison to data~~
- ~~Deconvolve measured spectrum to recover true shape (for initial C(W) extraction)~~
- ~~Iterative unfolding (Richardson-Lucy or similar)~~
- ~~Implemented: convolve() and convolve_batch() with tabulated response support~~
- [ ] Monte Carlo simulation (GEANT4) — out of scope for this project but noted for future
- Full detector geometry simulation
- Energy loss in source, dead layers, absorber
@@ -59,14 +61,16 @@ ______________________________________________________________________
### A4. Fitter for C(W) Extraction
- [ ] Implement fitter routine to extract experimental C(W) from data
- χ² minimization: theoretical spectrum (with all corrections) vs measured spectrum
- Free parameters: C(W) shape parameters, endpoint energy, normalization, background
- Covariance matrix and uncertainty propagation
- [ ] Parametrize C(W) in terms of g_V (and g_A)
- Fit C(W) data to theoretical parametrization
- Extract g_V^eff and g_A^eff from the fit
- Compare with Paulsen et al. results: g_A^eff = 0.574(36), g_V^eff = 0.376(5)
- [x] ~~Implement fitter routine to extract experimental C(W) from data~~
- ~~χ² minimization: theoretical spectrum (with all corrections) vs measured spectrum~~
- ~~Free parameters: C(W) shape parameters, endpoint energy, normalization, background~~
- ~~Covariance matrix and uncertainty propagation~~
- ~~Implemented: `CurveFitter` with `least_squares` optimization, `FitResult` with covariance, chi2, residuals~~
- [x] ~~Parametrize C(W) in terms of g_V (and g_A)~~
- ~~Fit C(W) data to theoretical parametrization~~
- ~~Extract g_V^eff and g_A^eff from the fit~~
- ~~Compare with Paulsen et al. results: g_A^eff = 0.574(36), g_V^eff = 0.376(5)~~
- ~~Implemented: `CWExtractor` with Kurie plot analysis, parametrized fitting, g_V/g_A extraction~~
- [ ] Systematic uncertainty analysis
- Vary correction implementations within uncertainties
- Test sensitivity to detector response model