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  • P-ISSN1738-6764
  • E-ISSN2093-7504
  • KCI

Study of Dark Matter at e+e− Collider using KISTI-5 Supercomputer

INTERNATIONAL JOURNAL OF CONTENTS / INTERNATIONAL JOURNAL OF CONTENTS, (P)1738-6764; (E)2093-7504
2021, v.17 no.3, pp.67-73
https://doi.org/10.5392/ijoc.2021.17.3.067
Park, Kihong
Cho, Kihyeon

Abstract

Dark matter is barely known because it cannot be explained using the Standard Model. In addition, dark matter has not been detected yet. It is currently being explored through various ways. In this paper, we studied dark matter in an electron-positron collider using MadGraph5. The signal channel is e<sup>+</sup>e<sup>- </sup>&#x2192; &#x1D707;<sup>+</sup>&#x1D707;<sup>-</sup>A' where A' decays to dimuon. We studied the cross-section by increasing the center-of-mass energy. Central processing unit (CPU) time of simulation was compared with that using a local Linux machine and a KISTI-5 supercomputer (Knight Landing and Skylake). Furthermore, one or more cores were used for comparing CPU time among machines. Results of this study will enable the exploration of dark matter in electron-positron experiments. This study also serves as a reference for optimizing high-energy physics simulation toolkits.

keywords
High performance computing (HPC), Dark matter, Dark photon, <tex> $e^+e^-$</tex> collider

INTERNATIONAL JOURNAL OF CONTENTS