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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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
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Language:English
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Dark matter
Innovations
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container_title arXiv.org
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creator 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
description 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.
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subjects Dark matter
Innovations
title Statistical challenges in the search for dark matter
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