A Study of Dark Matter at Electron-Positron Colliders using High Performance Computing

Sumitted to PubDB: 2021-07-02

Category: Master Thesis, Visibility: Public

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Authors	Kihyeon Cho, Kihong Park
Date	2021-01-01
Belle II Number	BELLE2-MTHESIS-2021-067
Abstract	Even if the Standard Model (SM) describing particles that constitutes the universe and its interactions is well established, the SM cannot explain dark matter. Therefore, little is known about dark matter and is being explored by various means. In this thesis, we study dark matter at electron-positron collider experiments using tool kits utilized in particle collider experiments. The signal channel is e^+ e^-→μ^+ μ^- A' with A'→μ^+ μ^- and the theoretical model is the simplified model. We investigated the dependence of cross-section according to various parameters. Ultimately, we obtained detector acceptance for the signal channel in present and/or future electron-positron collision experiments. In addition, we used the KIST-5 supercomputer and a local machine to compare central processing unit time of simulation. It has been confirmed that the high efficiency of parallel processing of supercomputers and the many number of cores can be utilized to increase the efficiency of dark matter research. The results of this study will help to find dark matter signals for the signal channel in present and/or future electron-positron collider experiments such as Belle II, Future Circular Collider (FCC)-ee, Circular Electron-Positron Collider (CEPC), and International Linear Collider (ILC).
Conference	Daejeon, Korea