Improvements in charged lepton and photon propagation for the software PROPOSAL

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer Physics Communications Pub Date : 2024-05-15 DOI:10.1016/j.cpc.2024.109243
Jean-Marco Alameddine , Johannes Albrecht , Hans Dembinski , Pascal Gutjahr , Karl-Heinz Kampert , Wolfgang Rhode , Maximilian Sackel , Alexander Sandrock , Jan Soedingrekso
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Phys. Commun. 242 (2019) 132.</p><p><em>Does the new version supersede the previous version?:</em> Yes.</p><p><em>Reasons for the new version:</em> Substantial addition of features. Various bugfixes.</p><p><em>Summary of revisions:</em> The library now also treats photons and has the corresponding processes implemented. New parametrizations for photonuclear interaction have been implemented. The angular deflection in stochastic energy losses has been implemented in addition to the already existing multiple scattering implementation, which has been improved to reduce the runtime. The implementation of the Landau-Pomeranchuk-Migdal effect has been corrected. The propagation algorithm has been improved, including the support of inhomogeneous density distributions.</p><p><em>Nature of problem:</em> Three-dimensional propagation of charged leptons and photons through different media. 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引用次数: 0

Abstract

Accurate particle simulations are essential for the next generation of experiments in astroparticle physics. The Monte Carlo simulation library PROPOSAL is a flexible tool to efficiently propagate high-energy leptons and photons through large volumes of media, for example in the context of underground observatories. It is written as a C++ library, including a Python interface. In this paper, the most recent updates of PROPOSAL are described, including the addition of electron, positron, and photon propagation, for which new interaction types have been implemented. This allows the usage of PROPOSAL to simulate electromagnetic particle cascades, for example in the context of air shower simulations. The precision of the propagation has been improved by including rare interaction processes, new photonuclear parametrizations, deflections in stochastic interactions, and the possibility of propagating in inhomogeneous density distributions. Additional technical improvements regarding the interpolation routine and the propagation algorithm are described.

New version program summary

Program Title: PROPOSAL.

CPC Library link to program files: https://doi.org/10.17632/g478pjdcxy.2.

Developer's repository link: https://github.com/tudo-astroparticlephysics/PROPOSAL.

Licensing provisions: LGPL.

Programming language: C++, Python.

Journal reference of previous version: Comput. Phys. Commun. 242 (2019) 132.

Does the new version supersede the previous version?: Yes.

Reasons for the new version: Substantial addition of features. Various bugfixes.

Summary of revisions: The library now also treats photons and has the corresponding processes implemented. New parametrizations for photonuclear interaction have been implemented. The angular deflection in stochastic energy losses has been implemented in addition to the already existing multiple scattering implementation, which has been improved to reduce the runtime. The implementation of the Landau-Pomeranchuk-Migdal effect has been corrected. The propagation algorithm has been improved, including the support of inhomogeneous density distributions.

Nature of problem: Three-dimensional propagation of charged leptons and photons through different media. Particles lose energy stochastically by ionization, bremsstrahlung, pair production, and photonuclear interaction for charged leptons (including annihilation with atomic electrons for positrons) and Compton scattering, pair production, photoelectric effect and photohadronic interaction for photons. Additionally, they are deflected while propagating through the medium due to both multiple elastic Coulomb scattering as well as deflections in individual stochastic interactions. Unstable particles eventually decay, producing secondary particles.

Solution method: Monte-Carlo simulation. The library samples the next interaction point, the type of interaction process, the energy lost in this interaction process, and the energy lost until this point. Particles are propagated until they decay, lose all their kinetic energy (for photons: reach a lower energy limit defined by the validity of the underlying cross sections), or until a user-defined termination criterion is reached. For each propagation step, the angular deflection and endpoint shift due to multiple scattering is calculated.

To improve the performance and deal with the divergence of the bremsstrahlung cross section for small photon energies, energy losses below a predefined relative or absolute energy threshold are treated continuously. The computation time is improved by the use of interpolation tables.

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改进软件的带电轻子和光子传播 PROPOSAL
精确的粒子模拟对下一代天体粒子物理学实验至关重要。蒙特卡洛模拟库 PROPOSAL 是一种灵活的工具,用于在大量介质中有效传播高能轻子和光子,例如在地下观测站中。它以 C++ 库的形式编写,包括一个 Python 接口。本文介绍了 PROPOSAL 的最新更新,包括增加了电子、正电子和光子传播,并实现了新的相互作用类型。这使得PROPOSAL可以用于模拟电磁粒子级联,例如在空气淋浴模拟中。通过加入罕见的相互作用过程、新的光子核参数、随机相互作用中的偏转以及在不均匀密度分布中传播的可能性,传播的精确度得到了提高。新版本程序摘要程序标题:PROPOSAL.CPC Library 程序文件链接:https://doi.org/10.17632/g478pjdcxy.2.Developer's repository 链接:https://github.com/tudo-astroparticlephysics/PROPOSAL.Licensing provisions:LGPL.Programming language:C++, Python.Journal reference of previous version:Comput.Phys.242 (2019) 132.新版本是否取代旧版本?是:大量新增功能。各种错误修正:该库现在也处理光子,并实现了相应的过程。实现了光子核相互作用的新参数化。除了已有的多重散射实现外,还实现了随机能量损失中的角偏转,并对其进行了改进以减少运行时间。修正了兰道-波美兰丘克-米格达尔效应的实现。问题性质:带电轻子和光子在不同介质中的三维传播。对于带电轻子,粒子通过电离、轫致辐射、成对产生和光核相互作用(包括正电子与原子电子的湮灭)随机损失能量;对于光子,粒子通过康普顿散射、成对产生、光电效应和光电子相互作用随机损失能量。此外,它们在介质中传播时还会因多次弹性库仑散射和单个随机相互作用而发生偏转。不稳定粒子最终会衰变,产生次级粒子:蒙特卡洛模拟。该库采样下一个相互作用点、相互作用过程的类型、在这一相互作用过程中损失的能量以及直到这一点为止损失的能量。粒子会一直传播,直到它们衰变、失去所有动能(对于光子:达到由相关截面的有效性定义的能量下限)或达到用户定义的终止标准。为了提高性能和处理小光子能量轫致辐射截面的发散问题,低于预定义的相对或绝对能量阈值的能量损失将被连续处理。使用插值表可以缩短计算时间。
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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