Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics
Arka Banerjee, Kimberly K. Boddy, Francis-Yan Cyr-Racine, Adrienne L., Erickcek, Daniel Gilman, Vera Gluscevic, Stacy Kim, Benjamin V. Lehmann,, Yao-Yuan Mao, Philip Mocz, Ferah Munshi, Ethan O. Nadler, Lina Necib, Aditya, Parikh, Annika H. G. Peter, Laura Sales

TL;DR
This white paper emphasizes the importance of developing advanced cosmological simulations that incorporate dark matter microphysics and baryonic physics to interpret upcoming astronomical observations and constrain dark matter models.
Contribution
It outlines key elements and a strategic plan for creating a comprehensive simulation program to study dark matter across cosmic time and scales.
Findings
Identification of necessary simulation components for dark matter physics
Recommendations for including baryonic physics in simulations
Tools and methods for predicting observational signatures
Abstract
Over the past several decades, unexpected astronomical discoveries have been fueling a new wave of particle model building and are inspiring the next generation of ever-more-sophisticated simulations to reveal the nature of Dark Matter (DM). This coincides with the advent of new observing facilities coming online, including JWST, the Rubin Observatory, the Nancy Grace Roman Space Telescope, and CMB-S4. The time is now to build a novel simulation program to interpret observations so that we can identify novel signatures of DM microphysics across a large dynamic range of length scales and cosmic time. This white paper identifies the key elements that are needed for such a simulation program. We identify areas of growth on both the particle theory side as well as the simulation algorithm and implementation side, so that we can robustly simulate the cosmic evolution of DM for well-motivated…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Scientific Research and Discoveries · Astronomy and Astrophysical Research
