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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.
Autores principales: | 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, Samblas, Ibles Olcina, Ostrovskiy, Igor, Parikh, Aditya, Riffard, Quentin, Roberts, Amy, Stifter, Kelly, Szydagis, Matthew, Tunnell, Christopher, von Krosigk, Belina, Wright, Dennis, Yu, Tien-Tien, Akerib, Dan, Bunker, Ray, Chen, Thomas Y., Gelmini, Graciela B., Kim, Doojin, Park, Jong-Chul, Saab, Tarek, Singh, Rajeev, Su, Shufang, Tsai, Yu-Dai, Westerdale, Shawn |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2805599 |
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