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scintiPulses

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scintiPulses

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Realistic Simulation of Scintillation Detector Signals

License Python Status BIPM


📖 Overview

scintiPulses is a Python package designed to generate high-fidelity photodetector signals from scintillation detectors. It models the complete signal chain—from the initial energy deposition to the final digitized output—incorporating key photochemical processes, electronic effects, and digitization artifacts.

This tool is ideal for post-processing data from Monte Carlo simulation frameworks (e.g., Geant4, MCNP, FLUKA), transforming raw energy deposition timestamps into realistic pulse waveforms for algorithm testing and detector design.


✨ Key Features

  • Physics-Based Modeling: Simulates time-dependent fluorescence including prompt and delayed components, with Fano factor support.
  • Multi-Channel Support: Simulate signals across multiple independent detector channels.
  • Photodetector Physics: Incorporates quantum shot noise, after-pulses, and thermionic (dark) noise.
  • PMT Modeling: Configurable gain, gain fluctuation, signal inversion, and charge spreading.
  • Electronic Simulation: Models Johnson-Nyquist thermal noise and signal shaping.
  • Analog Filtering: Simulates RC preamplifiers and CR$^{n}$ fast shapers.
  • Digitization: Includes anti-aliasing low-pass filtering, ADC quantization, and saturation effects.

Technical details and validation can be found in:

DOI: https://doi.org/10.1051/epjconf/202533810001


📦 Installation

You can install scintiPulses directly via pip:

pip install scintiPulses

🚀 Quick Start

The following example simulates a single 10 keV energy deposition with a fixed arrival time, using a fast scintillator (e.g. LSO/LYSO-like), and plots the transimpedance amplifier output of the PMT.

import scintiPulses as sp
import matplotlib.pyplot as plt

t, v0, v1, v2, v3, v4, v5, v6, v7, v8, y0, y1 = sp.scintiPulses(
    # Source parameters
    [10],               # Energy deposition(s) in keV
    tN=1e-6,            # Total simulation duration (s)
    arrival_times=[1e-9],  # Fixed arrival time; if False, times are drawn from Poisson process
    lambda_=1e4,        # Input count rate (s⁻¹), used when arrival_times=False
    fS=1e9,             # Sampling frequency (Hz)
    # Scintillation parameters
    nChannel=1,         # Number of detector channels
    tau1=4.6e-9,        # Prompt fluorescence decay time (s)
    tau2=120e-9,        # Delayed fluorescence decay time (s)
    p2=0.1,             # Fraction of delayed component
    F=1,                # Fano factor of the scintillator
    L=5,                # Light yield (photons/keV)
    # PMT parameters
    C=5e-12,            # PMT capacitance (F)
    G0=20e6,            # PMT gain
    sigma_G=0,          # PMT gain fluctuation (std dev)
    I=-1,               # Voltage inverter (+1 or -1)
    tauS=2.23e-9,       # Charge spreading time (s)
    afterPulses=False,  # Enable after-pulses
    pA=1e-3,            # After-pulse probability
    tauA=5e-6,          # Mean after-pulse delay (s)
    sigmaA=1e-6,        # Std dev of after-pulse delay (s)
    darkNoise=False,    # Enable thermionic dark noise
    fD=1e-4,            # Dark count rate (s⁻¹)
    # Analog electronics
    electronicNoise=False,  # Enable Johnson-Nyquist noise
    sigmaRMS=0.01,      # Electronic noise RMS (V)
    pream=False,        # Enable RC preamplifier
    G1=1,               # Preamplifier gain
    tauRC=1e-3,         # Preamplifier RC time constant (s)
    ampli=False,        # Enable fast amplifier (shaper)
    G2=1,               # Amplifier gain
    tauCR=2e-6,         # Amplifier CR time constant (s)
    nCR=1,              # Order of the CR filter
    # Digitization
    digitization=False, # Enable ADC simulation
    fc=0.4e9,           # Anti-aliasing filter cut-off frequency (Hz)
    R=10,               # ADC resolution (bits)
    Vs=0.5,             # ADC voltage range (V)
)

# Plot the PMT transimpedance output (v4)
plt.figure(figsize=(8, 3))
plt.plot(t, v4, "-", alpha=0.7, label="Transimpedance output")
plt.xlabel(r"$t$ /s")
plt.ylabel(r"$v$ /V")
plt.title("Simulated Scintillation Pulse")
plt.legend(loc="upper right")
plt.grid(True)
plt.tight_layout()
plt.show()

📡 The Signal Chain (Outputs)

The function returns a 12-element tuple. This allows inspection of the signal at every stage of the processing chain.

Variable Unit Stage Description
t s Time base vector.
v0 $e^-$ Idealized scintillation signal (charge).
v1 $e^-$ Shot Noise: Quantized photons added.
v2 $e^-$ After-pulses: Spurious pulses added (if enabled).
v3 $e^-$ Dark Noise: Thermionic noise added (if enabled).
v4 V PMT Output: Transimpedance conversion to voltage.
v5 V Thermal Noise: Electronic white noise added (if enabled).
v6 V Preamplifier: Post-RC filter signal (if enabled).
v7 V Shaper: Post-CR$^n$ fast amplifier signal (if enabled).
v8 V ADC: Final output after filtering, quantization & saturation (if enabled).
y0 Auxiliary output (channel-level intermediate).
y1 Auxiliary output (channel-level intermediate).

⚙️ Configuration Parameters

1. Source & Timing

Parameter Type Default Description
Y array None Energy deposition samples (keV).
arrival_times array / bool False Explicit particle arrival times (s). If False, times are drawn from a Poisson process at rate lambda_.
tN float 20e-6 Total simulation duration (s).
lambda_ float 1e4 Input count rate for random arrivals (s$^{-1}$).
fS float 1e8 Sampling frequency (Hz).

2. Physics & Scintillation

Parameter Type Default Description
nChannel int 1 Number of detector channels.
tau1 float 250e-9 Decay constant for the prompt component (s).
tau2 float 2e-6 Decay constant for the delayed component (s).
p2 float 0 Fraction of the delayed component ($0 \le p2 \le 1$).
F float 1 Fano factor of the scintillator.
L float 1 Scintillation light yield (photons/keV).

3. Photodetector (PMT)

Parameter Type Default Description
C float 5e-12 PMT capacitance (F).
G0 float 20e6 PMT gain.
sigma_G float 0 Standard deviation of PMT gain fluctuation.
I float −1 Voltage inverter factor (+1 or −1).
tauS float 10e-9 Charge bunch spreading time (s).
darkNoise bool False Enable thermionic dark noise.
fD float 1e-4 Dark noise count rate (s$^{-1}$).
afterPulses bool False Enable after-pulses.
pA float 1e-3 Probability of an after-pulse.
tauA float 5e-6 Mean after-pulse delay (s).
sigmaA float 1e-6 Standard deviation of after-pulse delay (s).

4. Analog Electronics

Parameter Type Default Description
electronicNoise bool False Enable Johnson-Nyquist noise.
sigmaRMS float 0.0 RMS value of electronic noise (V).
pream bool False Enable RC preamplifier simulation.
G1 float 1 Preamplifier gain.
tauRC float 1e-3 Preamplifier RC time constant (s).
ampli bool False Enable fast amplifier (shaper).
G2 float 1 Fast amplifier gain.
tauCR float 2e-6 Fast amplifier CR time constant (s).
nCR int 1 Order of the CR filter.

5. Digitization (ADC)

Parameter Type Default Description
digitization bool False Enable ADC simulation stage.
fc float 4e7 Anti-aliasing filter cut-off frequency (Hz).
R int 14 ADC resolution (bits).
Vs float 2 Dynamic range / saturation voltage (V).

📚 Citations

If you use scintiPulses in your research, please cite:

Simulation of scintillation detector signals EPJ Web of Conferences (2025) DOI: 10.1051/epjconf/202533810001


⚖ License

This project is licensed under the MIT License.

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