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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Hauptverfasser: 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
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Sprache:eng
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Zusammenfassung: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.
DOI:10.48550/arxiv.1807.09273