Statistical challenges in the search for dark matter

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

arXiv · 1807.09273

Statistical challenges in the search for dark matter

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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.

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Sara Algeri, Melissa van Beekveld, Nassim Bozorgnia, Alyson Brooks, J. Alberto Casas, Jessi Cisewski-Kehe, Francis-Yan Cyr-Racine, Thomas D. P. Edwards, Fabio Iocco, Bradley J. Kavanagh, Judita Mamužić, Siddharth Mishra-Sharma, Wolfgang Rau, Roberto Ruiz de Austri, Benjamin R. Safdi, Pat Scott, Tracy R. Slatyer, Yue-Lin Sming Tsai, Aaron C. Vincent, Christoph Weniger, Jennifer Rittenhouse West, Robert L. Wolpert. 2018-07-24. Statistical challenges in the search for dark matter. https://arxiv.org/abs/1807.09273

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