Low-Energy Physics Profiling of the Geant4 Simulation Tool Kit on Evolving Computing Architectures

Yeo, I.; Cho, Kihyeon

doi:10.3938/jkps.76.1047

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…This section presents the specifications of the Nurion KNL, the Nurion SKL, and the local Linux machine (Yeo & Cho 2020). The machines were used to compare the CPU time under the same sample jobs.…”

Section: Methodsmentioning

confidence: 99%

“…The local Linux machine has 32 cores. The theoretical peak performance for the Nurion machine is 25.7 PFLOPS (with the KNL and the SKL corresponding to 25.3 and 0.4 PFLOPS, respectively) (Yeo & Cho 2020). Table 1 summarize the specifications of the employed machines.…”

Section: Methodsmentioning

confidence: 99%

“…Because the cross-section of dark matter is extremely small compared to that calculated by the SM, extensive simulations are required (Cho 2017) in such analyses. In this regard, it is necessary to optimize the central processing unit (CPU) time to efficiently carry out simulations (Cho 2017;Yeo & Cho 2019;Yeo & Cho 2020). The SM has been wellestablished with the discovery of the Higgs boson particle (Aad et al 2012;Chatrchyan et al 2012).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer

Park¹,

Cho²

2021

Journal of Astronomy and Space Sciences

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer

Park¹,

Cho²

2021

Journal of Astronomy and Space Sciences

Self Cite

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“…As dark matter has a small cross-section, a large amount of simulation data must be generated (Cho 2017). Therefore, efficient research on HPC is required (Choi et al 2018;Yeo & Cho 2019;Yeo & Cho 2020). Previously, we had studied it using e + e -→ μ + μ -Aʹ mode (Park & Cho 2021a, b).…”

Section: Introductionmentioning

confidence: 99%

A Study of Double Dark Photons Produced by Lepton Colliders using High Performance Computing

Park¹,

Kim²,

Cho³

2022

Journal of Astronomy and Space Sciences

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The universe is thought to be filled with not only Standard Model (SM) matters but also dark matters. Dark matter is thought to play a major role in its construction. However, the identity of dark matter is as yet unknown, with various search methods from astrophysical observartion to particle collider experiments. Because of the cross-section that is a thousand times smaller than SM particles, dark matter research requires a large amount of data processing. Therefore, optimization and parallelization in High Performance Computing is required. Dark matter in hypothetical hidden sector is though to be connected to dark photons which carries forces similar to photons in electromagnetism. In the recent analysis, it was studied using the decays of a dark photon at collider experiments. Based on this, we studies double dark photon decays at lepton colliders. The signal channels are e+e– → AʹAʹ and e+e– → AʹAʹγ where dark photon Aʹ decays dimuon. These signal channels are based on the theory that dark photons only decay into heavily charged leptons, which can explain the muon magnetic momentum anomaly. We scanned the cross-section according to the dark photon mass in experiments. MadGraph5 was used to generate events based on a simplified model. Additionally, to get the maximum expected number of events for the double dark photon channel, the detector efficiency for several center of mass (CM) energy were studied using Delphes and MadAnalysis5 for performance comparison. The results of this study will contribute to the search for double dark photon channels at lepton colliders.

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Low-Energy Physics Profiling of the Geant4 Simulation Tool Kit on Evolving Computing Architectures

Cited by 2 publications

References 6 publications

A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer

A Study of Dark Photon at the Electron-Positron Collider Experiments Using KISTI-5 Supercomputer

A Study of Double Dark Photons Produced by Lepton Colliders using High Performance Computing

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