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

TL;DR

This paper outlines the computational needs and challenges of the dark matter and neutrino communities, proposing collaborative actions to enhance research capabilities across data handling, simulation, machine learning, and community development.

Contribution

It provides a comprehensive community-driven assessment of computational requirements and suggests strategies for strengthening collaboration and addressing shared challenges.

Findings

Identified key computational needs in data management and analysis.

Proposed actions for community collaboration and infrastructure improvement.

Highlighted importance of diversity and career development in the community.

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.