Content area

Abstract

Translate

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 transporting photons in low density media. In the air, computation time savings of five orders of magnitude are achieved while maintaining an accuracy comparable to that of conventional Monte Carlo methods, to the nearest percent.

Details

1009240
Subject
Algorithms;
Python;
Gamma rays;
Monte Carlo simulation;
Radioisotopes
Identifier / keyword
Computational Physics; Geophysics
URL
http://arxiv.org/abs/2412.02414
Title
Goupil: A Monte Carlo engine for the backward transport of low-energy gamma-rays
Author
Niess, Valentin; Vernet, Kinson; Terray, Luca
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Dec 3, 2024
Section
Nuclear Experiment; Physics (Other)
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
Publication subject
Biology, Statistics, Physics, Mathematics, Engineering--Electrical Engineering, Computers--Computer Engineering, Business And Economics--Banking And Finance
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-12-04
Milestone dates
2024-12-03 (Submission v1)
Publication history
 
 
   First posting date
04 Dec 2024
ProQuest document ID
3140661923
Document URL
https://www.proquest.com/working-papers/goupil-monte-carlo-engine-backward-transport-low/docview/3140661923/se-2?accountid=208611
Full text outside of ProQuest
http://arxiv.org/abs/2412.02414
Copyright
© 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-05
Database
ProQuest One Academic