Statistical challenges in the search for dark matter

The search for the particle nature of dark matter has given rise to a number of experimental, theoretical and statistical challenges. Here, we report on a number of these statistical challenges and new techniques to address them, as discussed in the DMStat workshop held Feb 26 - Mar 3 2018 at the Ba...

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Bibliographic Details
Published in:arXiv.org 2018-07
Main Authors: Algeri, Sara, Melissa van Beekveld, Bozorgnia, Nassim, Brooks, Alyson, Casas, J Alberto, Cisewski-Kehe, Jessi, Francis-Yan Cyr-Racine, Edwards, Thomas D P, Iocco, Fabio, Kavanagh, Bradley J, Mamužić, Judita, Mishra-Sharma, Siddharth, Rau, Wolfgang, Ruiz de Austri, Roberto, Safdi, Benjamin R, Scott, Pat, Slatyer, Tracy R, Yue-Lin, Sming Tsai, Vincent, Aaron C, Weniger, Christoph, Jennifer Rittenhouse West, Wolpert, Robert L
Format: Article
Language:English
Subjects:
Dark matter
Innovations
Online Access:Get full text
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Summary:The search for the particle nature of dark matter has given rise to a number of experimental, theoretical and statistical challenges. Here, we report on a number of these statistical challenges and new techniques to address them, as discussed in the DMStat workshop held Feb 26 - Mar 3 2018 at the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Alberta.
ISSN:2331-8422