文章基本信息

标题：A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer
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作者：Kihong Park, ; Kihyeon Cho,†
期刊名称：Journal of Astronomy and Space Sciences
印刷版ISSN：2093-5587
电子版ISSN：2093-1409
出版年度：2021
卷号：38
期号：1
页码：55-63
DOI：10.5140/JASS.2021.38.1.55
语种：English
出版社：Korean Space Science Society
摘要：The universe is well known to be consists of dark energy, dark matter and the standard model (SM) particles. The dark matter dominates the density of matter in the universe. The dark matter is thought to be linked with dark photon which are hypothetical hidden sector particles similar to photons in electromagnetism but potentially proposed as force carriers. Due to the extremely small cross-section of dark matter, a large amount of data is needed to be processed. Therefore, we need to optimize the central processing unit (CPU) time. In this work, using MadGraph5 as a simulation tool kit, we examined the CPU time, and cross-section of dark matter at the electron-positron collider considering three parameters including the center of mass energy, dark photon mass, and coupling constant. The signal process pertained to a dark photon, which couples only to heavy leptons. We only dealt with the case of dark photon decaying into two muons. We used the simplified model which covers dark matter particles and dark photon particles as well as the SM particles. To compare the CPU time of simulation, one or more cores of the KISTI-5 supercomputer of Nurion Knights Landing and Skylake and a local Linux machine were used. Our results can help optimize high-energy physics software through high-performance computing and enable the users to incorporate parallel processing.
关键词：dark matter ; dark photon ; high-energy physics ; electron-positron collider ; computational science ; high-performance computing