unzhakov
876e1e3ab8
- Add neutrino mass parameter to SpectrumConfig and CLI interface - Update PhaseSpace component to handle neutrino mass effects properly - Update CSV headers to show basic endpoint and all transition types - Add --csv-verbosity option to CLI with 'full' and 'concise' options - Fix comparison plots to properly show linear scale variations - Add comprehensive tests for neutrino mass functionality
743 lines
24 KiB
Python
743 lines
24 KiB
Python
"""
|
||
Visualize module — BetaSpectrumAnalyzer class.
|
||
|
||
Visualization and plotting tools for BetaSpectrum.
|
||
All nuclides (single- and multi-branch) are treated uniformly as one or more
|
||
branches — single-branch is just a special case with one branch.
|
||
"""
|
||
|
||
from __future__ import annotations
|
||
|
||
import logging
|
||
import pandas as pd
|
||
from datetime import datetime, timezone
|
||
from dataclasses import dataclass
|
||
from typing import TYPE_CHECKING, Any, Dict, List, Optional
|
||
|
||
import numpy as np
|
||
import matplotlib.pyplot as plt
|
||
|
||
from beta_spectrum.logging_utils import get_git_short_hash
|
||
from beta_spectrum.utils import T_to_W
|
||
|
||
if TYPE_CHECKING:
|
||
from matplotlib.figure import Figure
|
||
|
||
from beta_spectrum.spectrum import BetaSpectrum, SpectrumConfig
|
||
|
||
|
||
class BetaSpectrumAnalyzer:
|
||
"""
|
||
Introspection, analysis and debugging tools for BetaSpectrum.
|
||
|
||
Parameters
|
||
----------
|
||
spectrum : BetaSpectrum
|
||
The spectrum to analyze.
|
||
config : SpectrumConfig
|
||
Configuration used to create the spectrum.
|
||
logger : logging.Logger, optional
|
||
Logger for progress output.
|
||
"""
|
||
|
||
def __init__(
|
||
self,
|
||
spectrum: BetaSpectrum,
|
||
config: SpectrumConfig,
|
||
logger: Optional[logging.Logger] = None,
|
||
):
|
||
"""
|
||
Initialize analyzer with a spectrum and configuration.
|
||
"""
|
||
self.spectrum = spectrum
|
||
self.config = config
|
||
self.W, self.energies_MeV = spectrum.get_energy_grid(config)
|
||
self._components_cache: Optional[Dict[str, np.ndarray]] = None
|
||
self._branch_spectra_cache: Optional[List[np.ndarray]] = None
|
||
self._logger = logger
|
||
self._is_multi = spectrum._is_multi
|
||
|
||
# Unified branch view: single-branch treated as one-branch multi-branch
|
||
if not self._is_multi and self.spectrum.branch_spectra == []:
|
||
self._unified_branches: List[_UnifiedBranch] = [
|
||
_UnifiedBranch(
|
||
endpoint_MeV=config.endpoint_MeV,
|
||
transition_type=config.transition_type,
|
||
intensity=1.0,
|
||
)
|
||
]
|
||
else:
|
||
self._unified_branches = [
|
||
_UnifiedBranch(
|
||
endpoint_MeV=b.endpoint_MeV,
|
||
transition_type=b.transition_type,
|
||
intensity=b.intensity,
|
||
)
|
||
for b in self.spectrum.branches
|
||
]
|
||
|
||
@property
|
||
def components(self) -> Dict[str, np.ndarray]:
|
||
if self._components_cache is None:
|
||
raw = self.spectrum.calculate_components(self.W)
|
||
# Normalize keys: single-branch has bare names,
|
||
# multi-branch has branch_0., branch_1., etc.
|
||
# We keep the raw keys for export_to_csv compatibility.
|
||
self._components_cache = raw
|
||
assert self._components_cache is not None
|
||
return self._components_cache
|
||
|
||
@property
|
||
def branch_spectra(self) -> List[np.ndarray]:
|
||
"""Intensity-weighted branch spectra."""
|
||
if self._branch_spectra_cache is None:
|
||
self._branch_spectra_cache = self.spectrum.get_branch_normalized_spectra(
|
||
self.W
|
||
)
|
||
assert self._branch_spectra_cache is not None
|
||
return self._branch_spectra_cache
|
||
|
||
def total_spectrum(self, normalize: bool = True) -> np.ndarray:
|
||
"""Calculate the total spectrum."""
|
||
total = self.spectrum(self.W)
|
||
|
||
if normalize:
|
||
integral = np.trapezoid(total, self.energies_MeV)
|
||
total = total / integral
|
||
|
||
return total
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Unified branch view
|
||
# ---------------------------------------------------------------------------
|
||
|
||
@property
|
||
def _n_branches(self) -> int:
|
||
"""Number of branches (unified view)."""
|
||
return len(self._unified_branches)
|
||
|
||
def _get_branch_spectrum(self, i: int) -> np.ndarray:
|
||
"""Get the spectrum array for branch i."""
|
||
if i < len(self.spectrum.branch_spectra):
|
||
bs_obj = self.spectrum.branch_spectra[i]
|
||
# branch_spectra stores BetaSpectrum objects — call them to get arrays
|
||
if hasattr(bs_obj, "__call__"):
|
||
val = bs_obj(self.W)
|
||
# Clamp to zero beyond endpoint (phase space goes negative)
|
||
W0 = T_to_W(self._unified_branches[i].endpoint_MeV)
|
||
return np.where(self.W <= W0, val, 0.0)
|
||
return np.asarray(bs_obj)
|
||
# Single-branch: the spectrum itself is the only branch
|
||
return self.spectrum(self.W)
|
||
|
||
def _get_component_key(self, i: int, name: str) -> str:
|
||
"""Get the canonical key for a per-branch component."""
|
||
if self._is_multi:
|
||
return f"branch_{i}.{name}"
|
||
return name
|
||
|
||
def _has_component(self, i: int, name: str) -> bool:
|
||
"""Check if branch i has a given component."""
|
||
key = self._get_component_key(i, name)
|
||
return key in self.components
|
||
|
||
def _get_component(self, i: int, name: str) -> np.ndarray:
|
||
"""Get a per-branch component array."""
|
||
key = self._get_component_key(i, name)
|
||
return self.components[key]
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Plotting helpers
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def _build_figure_header(self, fig: "Figure") -> None:
|
||
"""Add a compact header with nuclide info, e_step, commit and timestamp outside axes."""
|
||
parent = self._element_symbol(self.config.Z_parent)
|
||
daughter = self._element_symbol(self.config.Z_daughter)
|
||
e_step_keV = self.config.e_step_MeV * 1000
|
||
header = (
|
||
f"{parent}{self.config.A_number} -> {daughter}{self.config.A_number} "
|
||
f"| E₀={self.config.endpoint_MeV * 1000:.1f} keV "
|
||
f"| ΔE={e_step_keV:.1f} keV"
|
||
)
|
||
fig.text(
|
||
0.01,
|
||
0.98,
|
||
header,
|
||
transform=fig.transFigure,
|
||
fontsize=9,
|
||
verticalalignment="top",
|
||
horizontalalignment="left",
|
||
fontfamily="monospace",
|
||
)
|
||
|
||
# Add neutrino mass info to header if non-zero
|
||
if self.config.neutrino_mass_MeV > 0:
|
||
nu_mass_text = f"| m_ν={self.config.neutrino_mass_MeV:.6f} MeV"
|
||
fig.text(
|
||
0.01,
|
||
0.96,
|
||
nu_mass_text,
|
||
transform=fig.transFigure,
|
||
fontsize=8,
|
||
verticalalignment="top",
|
||
horizontalalignment="left",
|
||
fontfamily="monospace",
|
||
color="red",
|
||
)
|
||
|
||
id_text = f"{get_git_short_hash(6)} | {self._timestamp}"
|
||
fig.text(
|
||
0.01,
|
||
0.01,
|
||
id_text,
|
||
transform=fig.transFigure,
|
||
fontsize=8,
|
||
verticalalignment="bottom",
|
||
horizontalalignment="left",
|
||
fontfamily="monospace",
|
||
color="gray",
|
||
)
|
||
|
||
def _build_figure_title(self, fig: "Figure") -> str:
|
||
"""Build a unified figure title."""
|
||
parent = self._element_symbol(self.config.Z_parent)
|
||
daughter = self._element_symbol(self.config.Z_daughter)
|
||
n = self.config.A_number
|
||
title = f"Beta-decay: {n}{parent} -> {n}{daughter}"
|
||
if self._n_branches > 1:
|
||
title += f" ({self._n_branches} branches)"
|
||
return title
|
||
|
||
def _format_branch_label(self, i: int) -> str:
|
||
"""Abbreviated branch label for legend."""
|
||
branch = self._unified_branches[i]
|
||
e0 = branch.endpoint_MeV * 1000
|
||
intensity_pct = branch.intensity * 100
|
||
return f"Br. {i + 1}: {e0:.1f} keV ({intensity_pct:.1f}%)"
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Plotting — unified multi-branch approach
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def plot_analysis(
|
||
self,
|
||
save_path: Optional[str] = None,
|
||
show_components: bool = True,
|
||
) -> None:
|
||
"""
|
||
Create visualization of the spectrum and all correction factors.
|
||
|
||
Parameters
|
||
----------
|
||
save_path : str, optional
|
||
Path to save the figure.
|
||
show_components : bool
|
||
If True, show full debug view.
|
||
If False, show only the spectrum plot.
|
||
"""
|
||
total = self.total_spectrum(normalize=True)
|
||
components = self.components
|
||
self._timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")
|
||
|
||
if show_components:
|
||
self._plot_debug_view(total, components, save_path)
|
||
else:
|
||
self._plot_spectra_view(total, components, save_path)
|
||
|
||
def _plot_spectra_view(
|
||
self,
|
||
total: np.ndarray,
|
||
components: Dict[str, np.ndarray],
|
||
save_path: Optional[str],
|
||
) -> None:
|
||
"""Plot total spectrum with individual branch decomposition."""
|
||
fig, ax = plt.subplots(figsize=(12, 7))
|
||
|
||
branch_colors = [
|
||
"#1f77b4",
|
||
"#ff7f0e",
|
||
"#2ca02c",
|
||
"#d62728",
|
||
"#9467bd",
|
||
"#8c564b",
|
||
"#e377c2",
|
||
"#7f7f7f",
|
||
"#bcbd22",
|
||
"#17becf",
|
||
]
|
||
|
||
e_step_keV = self.config.e_step_MeV * 1000
|
||
|
||
# Compute branch contributions (universal * intensity * branch_spectrum)
|
||
branch_contribs = []
|
||
# Universal components are shared (no per-branch key prefix)
|
||
universal_names = [
|
||
"Fermi",
|
||
"Screening",
|
||
"FiniteSizeL0",
|
||
"ChargeDistributionU",
|
||
"Exchange",
|
||
]
|
||
for i in range(self._n_branches):
|
||
universal_product = np.ones_like(self.W)
|
||
for name in universal_names:
|
||
key = self._get_component_key(i, name)
|
||
if key in components:
|
||
universal_product *= components[key]
|
||
elif name in components: # fallback: universal components
|
||
universal_product *= components[name]
|
||
bs = self._get_branch_spectrum(i)
|
||
contrib = universal_product * self._unified_branches[i].intensity * bs
|
||
branch_contribs.append(contrib)
|
||
|
||
total_raw = sum(branch_contribs)
|
||
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
total_raw,
|
||
"k-",
|
||
lw=2.5,
|
||
label="Total spectrum",
|
||
zorder=10,
|
||
)
|
||
|
||
for i, contrib in enumerate(branch_contribs):
|
||
color = branch_colors[i % len(branch_colors)]
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
contrib,
|
||
color=color,
|
||
lw=1.5,
|
||
alpha=0.7,
|
||
label=self._format_branch_label(i),
|
||
)
|
||
|
||
ax.set_xlabel(r"Electron kinetic energy $E$ [MeV]", fontsize=12)
|
||
ax.set_ylabel(f"Normalized Counts / {e_step_keV:.1f} keV", fontsize=12)
|
||
fig.suptitle(self._build_figure_title(fig), fontsize=14, fontweight="bold")
|
||
ax.set_yscale("log")
|
||
ax.grid(True, alpha=0.3)
|
||
ax.legend(
|
||
loc="best",
|
||
fontsize=9,
|
||
ncol=min(2, self._n_branches + 1),
|
||
)
|
||
|
||
self._build_figure_header(fig)
|
||
|
||
plt.tight_layout()
|
||
|
||
if save_path:
|
||
fig.savefig(save_path, dpi=150, bbox_inches="tight")
|
||
print(f"Figure saved to {save_path}")
|
||
|
||
def _plot_debug_view(
|
||
self,
|
||
total: np.ndarray,
|
||
components: Dict[str, np.ndarray],
|
||
save_path: Optional[str],
|
||
) -> None:
|
||
"""Debug view: vertical layout with 4 panels."""
|
||
n_branches = self._n_branches
|
||
e_step_keV = self.config.e_step_MeV * 1000
|
||
|
||
fig, axes = plt.subplots(4, 1, figsize=(12, 16), sharex=True)
|
||
fig.suptitle(self._build_figure_title(fig), fontsize=14, fontweight="bold")
|
||
|
||
branch_colors = [
|
||
"#1f77b4",
|
||
"#ff7f0e",
|
||
"#2ca02c",
|
||
"#d62728",
|
||
"#9467bd",
|
||
"#8c564b",
|
||
"#e377c2",
|
||
"#7f7f7f",
|
||
"#bcbd22",
|
||
"#17becf",
|
||
]
|
||
|
||
# Panel 1: Total spectrum + per-branch spectra
|
||
branch_contribs = []
|
||
universal_names = [
|
||
"Fermi",
|
||
"Screening",
|
||
"FiniteSizeL0",
|
||
"ChargeDistributionU",
|
||
"Exchange",
|
||
]
|
||
for i in range(n_branches):
|
||
universal_product = np.ones_like(self.W)
|
||
for name in universal_names:
|
||
key = self._get_component_key(i, name)
|
||
if key in components:
|
||
universal_product *= components[key]
|
||
elif name in components:
|
||
universal_product *= components[name]
|
||
bs = self._get_branch_spectrum(i)
|
||
contrib = universal_product * self._unified_branches[i].intensity * bs
|
||
branch_contribs.append(contrib)
|
||
|
||
total_raw = sum(branch_contribs)
|
||
|
||
ax = axes[0]
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
total_raw,
|
||
"k-",
|
||
lw=2,
|
||
label="Total spectrum",
|
||
zorder=10,
|
||
)
|
||
for i, contrib in enumerate(branch_contribs):
|
||
color = branch_colors[i % len(branch_colors)]
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
contrib,
|
||
color=color,
|
||
lw=1.5,
|
||
alpha=0.7,
|
||
label=self._format_branch_label(i),
|
||
)
|
||
ax.set_yscale("log")
|
||
ax.set_ylabel(f"Normalized Counts / {e_step_keV:.1f} keV", fontsize=10)
|
||
ax.set_title("Spectrum", fontsize=11)
|
||
ax.grid(True, alpha=0.3)
|
||
ax.legend(fontsize=8, loc="best", ncol=min(2, n_branches + 1))
|
||
|
||
# Panel 2: Fermi function + all phase spaces
|
||
ax = axes[1]
|
||
if "Fermi" in components:
|
||
fermi_vals = components["Fermi"]
|
||
fermi_scaled = fermi_vals / np.max(fermi_vals)
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
fermi_scaled,
|
||
"r-",
|
||
lw=1.5,
|
||
label="Fermi",
|
||
alpha=0.8,
|
||
)
|
||
for i in range(n_branches):
|
||
color = branch_colors[i % len(branch_colors)]
|
||
branch = self._unified_branches[i]
|
||
key = self._get_component_key(i, "PhaseSpace")
|
||
if key in components:
|
||
ps_vals = components[key]
|
||
W0_branch = T_to_W(branch.endpoint_MeV)
|
||
mask = self.W <= W0_branch
|
||
ps_masked = np.where(mask, ps_vals, 0.0)
|
||
ps_max = np.max(ps_masked)
|
||
if ps_max > 0:
|
||
ps_scaled = ps_masked / ps_max
|
||
else:
|
||
ps_scaled = ps_masked
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
ps_scaled,
|
||
color=color,
|
||
lw=1.5,
|
||
alpha=0.7,
|
||
label=f"PS Br. {i + 1}",
|
||
)
|
||
ax.set_ylabel("Normalized Factor", fontsize=10)
|
||
ax.set_title("Fermi & Phase Space", fontsize=11)
|
||
ax.grid(True, alpha=0.3)
|
||
ax.legend(fontsize=8, loc="best")
|
||
|
||
# Panel 3: Universal W0-independent corrections
|
||
ax = axes[2]
|
||
universal_components = [
|
||
"Screening",
|
||
"FiniteSizeL0",
|
||
"ChargeDistributionU",
|
||
"Exchange",
|
||
]
|
||
colors = ["green", "orange", "purple", "brown"]
|
||
for name, color in zip(universal_components, colors):
|
||
if name in components:
|
||
values = components[name]
|
||
values_scaled = values / np.max(values)
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
values_scaled,
|
||
color=color,
|
||
lw=1.5,
|
||
label=name,
|
||
alpha=0.8,
|
||
)
|
||
ax.set_ylabel("Normalized Factor", fontsize=10)
|
||
ax.set_title("Universal Corrections", fontsize=11)
|
||
ax.grid(True, alpha=0.3)
|
||
ax.legend(fontsize=8, loc="best")
|
||
|
||
# Panel 4: W0-dependent corrections (Radiative for each branch)
|
||
ax = axes[3]
|
||
for i in range(n_branches):
|
||
color = branch_colors[i % len(branch_colors)]
|
||
key = self._get_component_key(i, "Radiative")
|
||
if key in components:
|
||
rad_vals = components[key]
|
||
ax.plot(
|
||
self.energies_MeV,
|
||
rad_vals,
|
||
color=color,
|
||
lw=1.5,
|
||
alpha=0.7,
|
||
label=f"Br. {i + 1}",
|
||
)
|
||
ax.set_ylabel("Radiative Correction", fontsize=10)
|
||
ax.set_xlabel(r"Electron kinetic energy $E$ [MeV]", fontsize=10)
|
||
ax.set_title("Radiative Corrections", fontsize=11)
|
||
ax.grid(True, alpha=0.3)
|
||
ax.legend(fontsize=8, loc="best", ncol=min(2, n_branches + 1))
|
||
|
||
self._build_figure_header(fig)
|
||
|
||
plt.tight_layout()
|
||
|
||
if save_path:
|
||
fig.savefig(save_path, dpi=150, bbox_inches="tight")
|
||
print(f"Figure saved to {save_path}")
|
||
|
||
def _element_symbol(self, Z: int) -> str:
|
||
"""Return chemical symbol for atomic number Z."""
|
||
symbols = [
|
||
"",
|
||
"H",
|
||
"He",
|
||
"Li",
|
||
"Be",
|
||
"B",
|
||
"C",
|
||
"N",
|
||
"O",
|
||
"F",
|
||
"Ne",
|
||
"Na",
|
||
"Mg",
|
||
"Al",
|
||
"Si",
|
||
"P",
|
||
"S",
|
||
"Cl",
|
||
"Ar",
|
||
"K",
|
||
"Ca",
|
||
"Sc",
|
||
"Ti",
|
||
"V",
|
||
"Cr",
|
||
"Mn",
|
||
"Fe",
|
||
"Co",
|
||
"Ni",
|
||
"Cu",
|
||
"Zn",
|
||
"Ga",
|
||
"Ge",
|
||
"As",
|
||
"Se",
|
||
"Br",
|
||
"Kr",
|
||
"Rb",
|
||
"Sr",
|
||
"Y",
|
||
"Zr",
|
||
"Nb",
|
||
"Mo",
|
||
"Tc",
|
||
"Ru",
|
||
"Rh",
|
||
"Pd",
|
||
"Ag",
|
||
"Cd",
|
||
"In",
|
||
"Sn",
|
||
"Sb",
|
||
"Te",
|
||
"I",
|
||
"Xe",
|
||
"Cs",
|
||
"Ba",
|
||
"La",
|
||
"Ce",
|
||
"Pr",
|
||
"Nd",
|
||
"Pm",
|
||
"Sm",
|
||
"Eu",
|
||
"Gd",
|
||
"Tb",
|
||
"Dy",
|
||
"Ho",
|
||
"Er",
|
||
"Tm",
|
||
"Yb",
|
||
"Lu",
|
||
"Hf",
|
||
"Ta",
|
||
"W",
|
||
"Re",
|
||
"Os",
|
||
"Ir",
|
||
"Pt",
|
||
"Au",
|
||
"Hg",
|
||
"Tl",
|
||
"Pb",
|
||
"Bi",
|
||
"Po",
|
||
"At",
|
||
"Rn",
|
||
"Fr",
|
||
"Ra",
|
||
"Ac",
|
||
"Th",
|
||
"Pa",
|
||
"U",
|
||
"Np",
|
||
"Pu",
|
||
"Am",
|
||
"Cm",
|
||
"Bk",
|
||
"Cf",
|
||
"Es",
|
||
]
|
||
return symbols[Z] if Z < len(symbols) else f"Z{Z}"
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Export
|
||
# ---------------------------------------------------------------------------
|
||
|
||
def export_to_csv(
|
||
self, filename: str, source_type: str = "unknown", csv_verbosity: str = "full"
|
||
) -> None:
|
||
"""Export spectrum data to CSV with metadata header.
|
||
|
||
Parameters
|
||
----------
|
||
filename : str
|
||
Output CSV file path.
|
||
source_type : str
|
||
Source type (paceENSDF, json, etc.).
|
||
csv_verbosity : str
|
||
Verbosity level: 'full' (all components) or 'concise' (total spectrum and normalized branch components only).
|
||
"""
|
||
total = self.total_spectrum(normalize=True)
|
||
components = self.components
|
||
|
||
enabled = []
|
||
if self.config.use_phase_space:
|
||
enabled.append("phase_space")
|
||
if self.config.use_fermi:
|
||
enabled.append("fermi")
|
||
if self.config.use_screening:
|
||
enabled.append("screening")
|
||
if self.config.use_finite_size:
|
||
enabled.append("finite_size")
|
||
if self.config.use_charge_dist:
|
||
enabled.append("charge_dist")
|
||
if self.config.use_radiative:
|
||
enabled.append("radiative")
|
||
if self.config.use_exchange:
|
||
enabled.append("exchange")
|
||
|
||
parent_symbol = self._element_symbol(self.config.Z_parent)
|
||
daughter_symbol = self._element_symbol(self.config.Z_daughter)
|
||
|
||
header_lines = [
|
||
f"# beta-spectrum v{__import__('beta_spectrum').__version__}",
|
||
f"# timestamp: {datetime.now(timezone.utc).isoformat()}",
|
||
f"# source: {source_type}",
|
||
f"# nuclide: {parent_symbol}{self.config.A_number} -> {daughter_symbol}{self.config.A_number} (Z={self.config.Z_parent}->{self.config.Z_daughter})",
|
||
f"# basic_endpoint: {self.config.endpoint_MeV * 1000:.1f} keV",
|
||
]
|
||
|
||
# Add neutrino mass info if non-zero
|
||
if self.config.neutrino_mass_MeV > 0:
|
||
header_lines.append(
|
||
f"# neutrino_mass_MeV: {self.config.neutrino_mass_MeV:.6f} (non-zero neutrino mass effects included)"
|
||
)
|
||
else:
|
||
header_lines.append(
|
||
f"# neutrino_mass_MeV: {self.config.neutrino_mass_MeV:.6f}"
|
||
)
|
||
|
||
header_lines.append(f"# corrections: {', '.join(enabled)}")
|
||
header_lines.append(f"# e_step: {self.config.e_step_MeV:.4f} MeV")
|
||
|
||
# Add transition types for all branches
|
||
transition_types = []
|
||
for i, branch in enumerate(self._unified_branches):
|
||
transition_types.append(f"branch_{i + 1}:{branch.transition_type}")
|
||
header_lines.append(f"# transition_types: {'; '.join(transition_types)}")
|
||
|
||
# Branch info — unified view
|
||
for i, branch in enumerate(self._unified_branches):
|
||
header_lines.append(
|
||
f"# branch_{i + 1}: E₀={branch.endpoint_MeV * 1000:.1f} keV, "
|
||
f"transition={branch.transition_type}, "
|
||
f"intensity={branch.intensity:.4f}"
|
||
)
|
||
|
||
header_lines.append(f"# git_commit: {get_git_short_hash()}")
|
||
|
||
data: Dict[str, np.ndarray] = {
|
||
"energy_MeV": self.energies_MeV,
|
||
"spectrum": total,
|
||
}
|
||
|
||
if csv_verbosity == "full":
|
||
# Per-branch spectra and components
|
||
for i in range(self._n_branches):
|
||
data[f"branch_{i + 1}_spectrum"] = self._get_branch_spectrum(i)
|
||
for comp_name in ["PhaseSpace", "Radiative"]:
|
||
key = self._get_component_key(i, comp_name)
|
||
if key in components:
|
||
data[f"branch_{i + 1}_{comp_name}"] = components[key]
|
||
|
||
# Universal components (no prefix)
|
||
for name, values in components.items():
|
||
if not name.startswith("branch_"):
|
||
data[name] = values
|
||
elif csv_verbosity == "concise":
|
||
# Only total spectrum and normalized branch components
|
||
for i in range(self._n_branches):
|
||
data[f"branch_{i + 1}_spectrum_normalized"] = (
|
||
self._get_branch_spectrum(i) / np.sum(self._get_branch_spectrum(i))
|
||
if np.sum(self._get_branch_spectrum(i)) > 0
|
||
else self._get_branch_spectrum(i)
|
||
)
|
||
|
||
df = pd.DataFrame(data)
|
||
df.to_csv(filename, index=False, float_format="%.4e")
|
||
|
||
with open(filename, "r") as f:
|
||
content = f.read()
|
||
with open(filename, "w") as f:
|
||
f.write("\n".join(header_lines) + "\n" + content)
|
||
|
||
if self._logger:
|
||
self._logger.info("CSV exported to %s", filename)
|
||
|
||
def get_data(self) -> Dict[str, Any]:
|
||
"""Get all numerical data for custom analysis."""
|
||
return {
|
||
"energies_MeV": self.energies_MeV,
|
||
"energies_W": self.W,
|
||
"spectrum": self.total_spectrum(normalize=True),
|
||
"components": self.components,
|
||
"config": self.config,
|
||
}
|
||
|
||
|
||
@dataclass
|
||
class _UnifiedBranch:
|
||
"""Unified branch view for both single- and multi-branch modes."""
|
||
|
||
endpoint_MeV: float
|
||
transition_type: str
|
||
intensity: float
|