Update docs and TODOs for CLI & plot improvements
- README.md: Add features for plot modes, traceability, debug workflow - README.md: Update BetaSpectrumAnalyzer docs with show_components param - README.md: Update Quick Start with both plot modes - README.md: Add output/ to project structure - TODO.md: Mark B8.4 plot output as completed - TODO.md: Update Current Status with B8.4
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@@ -8,7 +8,11 @@ A modular Python package for calculating high-precision **beta decay energy spec
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- Selective inclusion of higher-order corrections via `SpectrumConfig` toggles
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- Clean, composable component architecture
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- Built-in visualization and CSV export via `BetaSpectrumAnalyzer`
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- Normal mode: single spectrum plot with nuclear data header
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- Debug mode (`-vv`): 4-panel view with all correction factors
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- All plots include commit hash and UTC timestamp for traceability
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- Comprehensive scientific reference in [`docs/`](docs/)
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- Debug verification workflow: `bs_pnpi -vv` validates all parameters end-to-end
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______________________________________________________________________
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@@ -74,6 +78,7 @@ beta_shape_pnpi/
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└── data/
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├── exchange_coeff.csv # Tabulated coefficients for X(Z,W), Z=2..120
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└── custom_input_example.json # Sample JSON input file
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├── output/ # Test run outputs (gitignored except .gitkeep)
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```
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______________________________________________________________________
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@@ -104,8 +109,11 @@ Defined in `beta_spectrum/spectrum.py`. Orchestrates the calculation:
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Also in `spectrum.py`. Provides debugging and visualization tools:
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- `total_spectrum(normalize=True/False)` — computed spectrum array
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- `plot_analysis(save_path=None)` — 4-panel matplotlib figure (spectrum, components, cumulative effect, deviations from unity)
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- `export_to_csv(filename)` — export via pandas DataFrame
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- `plot_analysis(save_path=None, show_components=True)` — plot with two modes:
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- `show_components=True` (debug mode): 4-panel figure (spectrum, components, cumulative effect, deviations)
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- `show_components=False` (normal mode): single spectrum plot with nuclear data header
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- All plots include commit hash and UTC timestamp for traceability
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- `export_to_csv(filename)` — export via pandas DataFrame with YAML-style metadata header
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- `get_data()` — return all numerical data for custom analysis
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______________________________________________________________________
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@@ -128,8 +136,9 @@ W, E_MeV = spectrum.get_energy_grid(config)
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values = spectrum(W)
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analyzer = BetaSpectrumAnalyzer(spectrum, config)
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analyzer.plot_analysis() # Show/ save 4-panel figure
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analyzer.export_to_csv("output.csv") # Export data to CSV
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analyzer.plot_analysis("analysis.png") # Normal mode (single spectrum plot)
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analyzer.plot_analysis("debug.png", show_components=True) # Debug mode (4-panel)
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analyzer.export_to_csv("spectrum.csv") # Export data to CSV
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```
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______________________________________________________________________
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