DesignAnalysis/stopping_G4.py

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2026-05-13 12:02:53 +02:00
#!/usr/bin/env python3
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
import sys
sys.path.append(str(Path(__file__).resolve().parents[1]))
import plotstyle # Dein plotstyle!
MODE = "paper"
plotstyle.set_style(MODE)
# -----------------------------
# MODUSEINSTELLUNG GANZ OBEN
# -----------------------------
# Beides (proton, helium, mu-, e-) → True
WITH_ELECTRON = False
# Nur Elektron plotten? → True
PLOT_ELECTRON_ONLY = False
# Partikel-Konfiguration (Basis ohne Dicke)
PARTICLES_BASE = {
'proton': 'G4outfiles/proton_70energies',
'alpha': 'G4outfiles/helium_70energies',
'mu-': 'G4outfiles/muon_70energies',
'e-': 'G4outfiles/electron_70energies'
}
colors = {
'proton': 'red',
'alpha': 'green',
'mu-': (0.5, 0.3, 0.8),
'e-': 'blue'
}
LABELS = {
'proton': 'Proton',
'alpha': 'Helium',
'mu-': 'Muon',
'e-': 'Electron'
}
LINSTYLES = {
2: '-', # 2 cm
4: '--', # 4 cm
6: ':', # 6 cm
}
THICKNESSES = [2, 4, 6]
# -----------------------------
# Funktionen
# -----------------------------
# Funktion: GESAMTER Energieverlust (ALLE Zeilen!)
def load_particle_data(filename, part_name, label):
try:
df = pd.read_csv(filename, sep='\t')
df['z_cm'] = df['z'] / 10.0
# df_part als COPY, um SettingWithCopyWarning zu vermeiden
df_part = df[df['part'] == part_name].copy()
if len(df_part) == 0:
print(f"{label}: KEINE {part_name}-Hits gefunden!")
return None
total_eloss = df_part.groupby(['primaryE', 'event'])['edep'].sum().reset_index()
total_eloss.columns = ['E0', 'event', 'dE_total']
means = total_eloss.groupby('E0')['dE_total'].agg(['mean','std']).reset_index()
means.columns = ['E0', 'dE_mean', 'dE_std']
return means
except FileNotFoundError:
print(f" → Datei '{filename}' nicht gefunden!")
return None
except Exception as e:
print(f" → Fehler bei {label}: {e}")
return None
# -----------------------------
# 12 Dateien laden (mit Filter)
# -----------------------------
all_data = {} # (part, thickness) -> DataFrame
for part_g4 in PARTICLES_BASE.keys():
# ModusFilter
if part_g4 == 'e-' and not WITH_ELECTRON:
continue
if PLOT_ELECTRON_ONLY and part_g4 != 'e-':
continue
label = LABELS[part_g4]
base = PARTICLES_BASE[part_g4]
for thickness in THICKNESSES:
thickness_label = f"{thickness} cm"
filename = f"{base}_{thickness}cm_0.hits"
print(f"\n=== {label} ({part_g4}), {thickness_label} ===")
print(f" Datei: {filename}")
df = load_particle_data(filename, part_g4, label)
if df is None:
print(f"{label} / {thickness_label}: KEINE DATEN")
else:
print(f"{label} / {thickness_label}: {len(df)} Energiepunkte")
all_data[(part_g4, thickness)] = df
# -----------------------------
# PLOT
# -----------------------------
plt.figure()
# Sammle tatsächlich geplottete Teilchen
plotted_particles = set()
for (part_g4, thickness), df in all_data.items():
if df is None or len(df) == 0:
continue
mask = df['dE_mean'] > 0
if mask.sum() == 0:
continue
color = colors.get(part_g4, 'black')
linestyle = LINSTYLES[thickness]
plt.errorbar(
df.loc[mask, 'E0'],
df.loc[mask, 'dE_mean'],
yerr=df.loc[mask, 'dE_std'],
color=color,
linestyle=linestyle,
marker='None',
linewidth=2,
label=f"{LABELS[part_g4]}" # Label nur für Teilchen-Farbe
)
plotted_particles.add(part_g4)
# Referenzlinie: IDEAL falls ΔE = E0
x = np.linspace(30, 5000, 100)
plt.plot(x, x, color="black", linewidth=1)
plt.xscale('log')
plt.yscale('log')
plt.ylim(10,1000)
plt.xlim(29, 10000)
plt.xlabel('Kinetic energy $E_{kin}$ in MeV')
plt.ylabel('Energy loss $\\Delta E$ in MeV')
plt.grid(True, which="both", ls="--", lw=0.5)
# Legenden wie gewünscht
from matplotlib.lines import Line2D
# TeilchenLegende: nur die Teilchen, die wirklich geplottet werden
legend_particle_handles = []
for part in ['proton', 'alpha', 'mu-', 'e-']:
if part not in plotted_particles:
continue
color = colors[part]
label = LABELS[part]
legend_particle_handles.append(
Line2D([0], [0], color=color, lw=2, label=label)
)
# BGOThicknessLegende bleibt fix (2/4/6 cm, schwarz)
legend_thickness_handles = [
Line2D([0], [0], color='black', linestyle='-', lw=2, label='2 cm'),
Line2D([0], [0], color='black', linestyle='--', lw=2, label='4 cm'),
Line2D([0], [0], color='black', linestyle=':', lw=2, label='6 cm')
]
legend1 = plt.legend(
handles=legend_particle_handles,
loc='upper right',
title="Particles"
)
legend2 = plt.legend(
handles=legend_thickness_handles,
loc='upper left',
title="BGO thickness"
)
plt.gca().add_artist(legend1)
plt.tight_layout()
#plotstyle.savefig("BGO_Eloss_246cm_allparticles", category="BB")
plt.show()