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

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

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Published inarXiv.org
Main Authors Kahn, Yonatan, Monzani, Maria Elena, Palladino, Kimberly J, Anderson, Tyler, Bard, Deborah, Baxter, Daniel, Buuck, Micah, Cartaro, Concetta, Collar, Juan I, Diamond, Miriam, Fan, Alden, Knapen, Simon, Kravitz, Scott, Lang, Rafael F, Nachman, Benjamin, Ibles Olcina Samblas, Ostrovskiy, Igor, Parikh, Aditya, Riffard, Quentin, Roberts, Amy, Stifter, Kelly, Szydagis, Matthew, Tunnell, Christopher, Belina von Krosigk, Wright, Dennis, Tien-Tien, Yu, Akerib, Dan, Bunker, Ray, Chen, Thomas Y, Gelmini, Graciela B, Kim, Doojin, Jong-Chul Park, Saab, Tarek, Singh, Rajeev, Su, Shufang, Yu-Dai, Tsai, Westerdale, Shawn
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 27.12.2022
Subjects
Computation
Dark matter
Modelling
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Summary:This paper summarizes the modeling, statistics, simulation, and computing needs of direct dark matter detection experiments in the next decade.
ISSN:2331-8422