Snowmass2021 宇宙前沿：直接暗物质探测的建模、统计、模拟与计算需求
高能物理 - 实验
2022-12-29 v2 计算物理
数据分析、统计与概率
摘要
本文总结了未来十年直接暗物质探测实验在建模、统计、模拟与计算方面的需求。
引用
@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}
}
备注
Contribution to Snowmass 2021