Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection

Abstract

This paper summarizes the modeling, statistics, simulation, and computing needs of direct dark matter detection experiments in the next decade.

Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access

“…The evolution of the computing landscape introduces many challenges. The increasing prevalence of heterogeneous computing systems makes it essential to adapt the existing software stacks that have been largely developed for homogeneous CPU-based systems [6,10]. The growth of HPC and Cloud computing systems concentrates unprecedented computing resources away from the scientific instruments and the custodial storage, which places new demands on data access and networking [11].…”

“…The largest of the next generation of physics projects represent exascale science endeavors with annual data rates of exabytes to process, store, and analyze [4]. Large-scale theory-based numerical simulations [5][6][7] are reaching for higher and higher precision to more accurately describe nature and uncover new science, and have been the power users of the HPC resources. Small science projects may also have big processing needs [8].…”