{"title":"利用kstii -5超级计算机研究正负电子对撞机实验中的暗光子","authors":"Kihong Park, Kihyeon Cho","doi":"10.5140/JASS.2021.38.1.55","DOIUrl":null,"url":null,"abstract":"The universe is well known to be consists of dark energy, dark matter and the\n standard model (SM) particles. The dark matter dominates the density of matter in the\n universe. The dark matter is thought to be linked with dark photon which are\n hypothetical hidden sector particles similar to photons in electromagnetism but\n potentially proposed as force carriers. Due to the extremely small cross-section of dark\n matter, a large amount of data is needed to be processed. Therefore, we need to optimize\n the central processing unit (CPU) time. In this work, using MadGraph5 as a simulation\n tool kit, we examined the CPU time, and cross-section of dark matter at the\n electron-positron collider considering three parameters including the center of mass\n energy, dark photon mass, and coupling constant. The signal process pertained to a dark\n photon, which couples only to heavy leptons. We only dealt with the case of dark photon\n decaying into two muons. We used the simplified model which covers dark matter particles\n and dark photon particles as well as the SM particles. To compare the CPU time of\n simulation, one or more cores of the KISTI-5 supercomputer of Nurion Knights Landing and\n Skylake and a local Linux machine were used. Our results can help optimize high-energy\n physics software through high-performance computing and enable the users to incorporate\n parallel processing.","PeriodicalId":44366,"journal":{"name":"Journal of Astronomy and Space Sciences","volume":"13 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5\\n Supercomputer\",\"authors\":\"Kihong Park, Kihyeon Cho\",\"doi\":\"10.5140/JASS.2021.38.1.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The universe is well known to be consists of dark energy, dark matter and the\\n standard model (SM) particles. The dark matter dominates the density of matter in the\\n universe. The dark matter is thought to be linked with dark photon which are\\n hypothetical hidden sector particles similar to photons in electromagnetism but\\n potentially proposed as force carriers. Due to the extremely small cross-section of dark\\n matter, a large amount of data is needed to be processed. Therefore, we need to optimize\\n the central processing unit (CPU) time. In this work, using MadGraph5 as a simulation\\n tool kit, we examined the CPU time, and cross-section of dark matter at the\\n electron-positron collider considering three parameters including the center of mass\\n energy, dark photon mass, and coupling constant. The signal process pertained to a dark\\n photon, which couples only to heavy leptons. We only dealt with the case of dark photon\\n decaying into two muons. We used the simplified model which covers dark matter particles\\n and dark photon particles as well as the SM particles. To compare the CPU time of\\n simulation, one or more cores of the KISTI-5 supercomputer of Nurion Knights Landing and\\n Skylake and a local Linux machine were used. Our results can help optimize high-energy\\n physics software through high-performance computing and enable the users to incorporate\\n parallel processing.\",\"PeriodicalId\":44366,\"journal\":{\"name\":\"Journal of Astronomy and Space Sciences\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Astronomy and Space Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5140/JASS.2021.38.1.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Astronomy and Space Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5140/JASS.2021.38.1.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5
Supercomputer
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.
期刊介绍:
JASS aims for the promotion of global awareness and understanding of space science and related applications. Unlike other journals that focus either on space science or on space technologies, it intends to bridge the two communities of space science and technologies, by providing opportunities to exchange ideas and viewpoints in a single journal. Topics suitable for publication in JASS include researches in the following fields: space astronomy, solar physics, magnetospheric and ionospheric physics, cosmic ray, space weather, and planetary sciences; space instrumentation, satellite dynamics, geodesy, spacecraft control, and spacecraft navigation. However, the topics covered by JASS are not restricted to those mentioned above as the journal also encourages submission of research results in all other branches related to space science and technologies. Even though JASS was established on the heritage and achievements of the Korean space science community, it is now open to the worldwide community, while maintaining a high standard as a leading international journal. Hence, it solicits papers from the international community with a vision of global collaboration in the fields of space science and technologies.