Dark-matter And Neutrino Computation Explored (DANCE) Community Input to Snowmass

Amy Roberts; Christopher Tunnell; Belina von Krosigk; Tyler Anderson; Jason Brodsky; Micah Buuck; Tina Cartaro; Melissa Cragin; Gavin S. Davies; Miriam Diamond; Alden Fan; Aaron Higuera; Valerio Ippolito; Chris Jillings; Scott Kravitz; Luke Krezko; Ivy Li; Maria Elena Monzani; Igor Ostrovskiy; Fernanda Psihas; Andrew Renshaw; Quentin Riffard; Joel Sander; Samuele Sangiorgio; Reto Trappitsch; Dennis Wright

arXiv · 2203.08338

Dark-matter And Neutrino Computation Explored (DANCE) Community Input to Snowmass

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Abstract

This paper summarizes the needs of the dark matter and neutrino communities as it relates to computation. The scope includes data acquisition, triggers, data management and processing, data preservation, simulation, machine learning, data analysis, software engineering, career development, and equity and inclusion. Beyond identifying our community needs, we propose actions that can be taken to strengthen this community and to work together to overcome common challenges.

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Amy Roberts, Christopher Tunnell, Belina von Krosigk, Tyler Anderson, Jason Brodsky, Micah Buuck, Tina Cartaro, Melissa Cragin, Gavin S. Davies, Miriam Diamond, Alden Fan, Aaron Higuera, Valerio Ippolito, Chris Jillings, Scott Kravitz, Luke Krezko, Ivy Li, Maria Elena Monzani, Igor Ostrovskiy, Fernanda Psihas, Andrew Renshaw, Quentin Riffard, Joel Sander, Samuele Sangiorgio, Reto Trappitsch, Dennis Wright. 2022-03-16. Dark-matter And Neutrino Computation Explored (DANCE) Community Input to Snowmass. https://arxiv.org/abs/2203.08338

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