Goupil: A Monte Carlo engine for the backward transport of low-energy gamma-rays

被引：0

作者：

Niess, Valentin ^{[1
]}

Vernet, Kinson ^{[1
]}

Terray, Luca ^{[1
,2
]}

机构：

[1] Univ Clermont Auvergne, CNRS, LPCA, F-63000 Clermont Ferrand, France

[2] Univ Clermont Auvergne, CNRS, Lab Magmas & Volcans, IRD ,OPGC, F-63000 Clermont Ferrand, France

来源：

COMPUTER PHYSICS COMMUNICATIONS | 2025年 / 314卷

关键词：

Gamma-rays; Monte Carlo; Transport; Backward; CROSS-SECTIONS; SIMULATION; SPECTROMETRY; SCATTERING; ELECTRONS; RADIATION; GEANT4; TOOL;

D O I：

10.1016/j.cpc.2025.109653

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

GouPIL is a software library designed for the Monte Carlo transport of low-energy gamma-rays, such as those emitted from radioactive isotopes. The library is distributed as a Python module. It implements a dedicated backward sampling algorithm that is highly effective for geometries where the source size largely exceeds the detector size. When used in conjunction with a conventional Monte Carlo engine (i.e., GEANT4), the response of a scintillation detector to gamma-active radio-isotopes scattered over the environment is accurately simulated (to the nearest percent) while achieving events rates of a few kHz (with a similar to 2.3 GHz CPU).

引用

页数：16

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