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Statistical challenges in the search for dark matter

Authors :
Algeri, Sara
van Beekveld, Melissa
Bozorgnia, Nassim
Brooks, Alyson
Casas, J. Alberto
Cisewski-Kehe, Jessi
Cyr-Racine, Francis-Yan
Edwards, Thomas D. P.
Iocco, Fabio
Kavanagh, Bradley J.
Mamužić, Judita
Mishra-Sharma, Siddharth
Rau, Wolfgang
de Austri, Roberto Ruiz
Safdi, Benjamin R.
Scott, Pat
Slatyer, Tracy R.
Tsai, Yue-Lin Sming
Vincent, Aaron C.
Weniger, Christoph
West, Jennifer Rittenhouse
Wolpert, Robert L.
Publication Year :
2018

Abstract

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.<br />Comment: 32 pages, 8 figures, 331 references

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1807.09273
Document Type :
Working Paper