论文标题

Snowmass2021宇宙边界:建模,统计,模拟和计算直接暗物质检测需求

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

论文作者

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

论文摘要

本文总结了未来十年的直接暗物质检测实验的建模,统计,模拟和计算需求。

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

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源