English

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

High Energy Physics - Experiment 2022-12-29 v2 Computational Physics Data Analysis, Statistics and Probability

Abstract

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

Keywords

Cite

@article{arxiv.2203.07700,
  title  = {Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection},
  author = {Yonatan Kahn and Maria Elena Monzani and Kimberly J. Palladino and Tyler Anderson and Deborah Bard and Daniel Baxter and Micah Buuck and Concetta Cartaro and Juan I. Collar and Miriam Diamond and Alden Fan and Simon Knapen and Scott Kravitz and Rafael F. Lang and Benjamin Nachman and Ibles Olcina Samblas and Igor Ostrovskiy and Aditya Parikh and Quentin Riffard and Amy Roberts and Kelly Stifter and Matthew Szydagis and Christopher Tunnell and Belina von Krosigk and Dennis Wright and Tien-Tien Yu and Dan Akerib and Ray Bunker and Thomas Y. Chen and Graciela B. Gelmini and Doojin Kim and Jong-Chul Park and Tarek Saab and Rajeev Singh and Shufang Su and Yu-Dai Tsai and Shawn Westerdale},
  journal= {arXiv preprint arXiv:2203.07700},
  year   = {2022}
}

Comments

Contribution to Snowmass 2021

R2 v1 2026-06-24T10:13:35.099Z