Dark Matter Physics from the CMB-S4 Experiment

Dvorkin, Cora; Hložek, Renée; An, Rui; Boddy, Kimberly K.; Cyr-Racine, Francis-Yan; Farren, Gerrit S.; Gluscevic, Vera; Grin, Daniel; Marsh, David J. E.; Meyers, Joel; Rogers, Keir K.; Schutz, Katelin; Xu, Weishuang

doi:10.48550/arxiv.2203.07064

Cited by 6 publications

(7 citation statements)

References 133 publications

(152 reference statements)

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“…Cosmological searches for light dark matter are highly complementary to direct detection, extending down to keV masses [13][14][15][16][17][18][19][20]. Thermal coupling between dark matter and ordinary "baryonic" particles collisionally dampens structure growth in the early Universe.…”

mentioning

confidence: 99%

Limits on the Light Dark Matter–Proton Cross Section from Cosmic Large-Scale Structure

2022

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confidence: 99%

Limits on the Light Dark Matter–Proton Cross Section from Cosmic Large-Scale Structure

2022

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“…These new ideas in DM coincide with the commissioning of various powerful observational facilities, including optical galaxy surveys, measurements of the CMB temperature, polarization, and lensing, and line-intensity mapping (see other Snowmass contributions on the subject, e.g., [33][34][35][36]. This includes the Legacy Survey of Space and Time (LSST) by the Vera C. Rubin Observatory, planned to begin in 2023, and which will, among other things, provide the most complete census of the satellite population of the Milky Way galaxy [20,21,34,37].…”

Section: Introduction and Executive Summarymentioning

confidence: 84%

“…A well-synthesized simulation, observational, theoretical, and experimental program is critical to revealing the nature of DM. The challenge and opportunity for this decade is to develop a robust and vibrant simulations program that connects the ground-breaking capabilities of observational facilities [14,21,[33][34][35][36] to an expanding ecosystem of particle models for DM and tailored lab experiments [293]. For a simulation program to be successful, simulators must work with particle physicists to identify promising particle DM models and map their phenomenology into a space of cosmological simulation parameters (Need #1; §2.1).…”

Section: Discussionmentioning

confidence: 99%

Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

Banerjee¹,

Boddy²,

Cyr-Racine³

et al. 2022

Preprint

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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 models. We recommend that simulations include a fully calibrated and well-tested treatment of baryonic physics, and that outputs should connect with observations in the space of observables. We identify the tools and methods currently available to make predictions and the path forward for building more of these tools. A strong cosmic DM simulation program is

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“…due to the velocity suppression of cold DM. Additionally, there are constraints on DM scattering with ordinary matter, which can induce spectral distortions [215,223] and a suppression of anisotropies in the CMB [213,208,214,216,217,218,219,220,224,635,226] and the matter fluctuations [221,57,222,225]. These constraints are complementary to the more traditional search methods of direct and indirect detection, described below.…”

Section: Connections To the Standard Modelmentioning

confidence: 99%

Astrophysical Tests of Dark Matter Self-Interactions

Adhikari¹,

Banerjee²,

Boddy³

et al. 2022

Preprint

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Self-interacting dark matter (SIDM) arises generically in scenarios for physics beyond the Standard Model that have dark sectors with light mediators or strong dynamics. The selfinteractions allow energy and momentum transport through halos, altering their structure and dynamics relative to those produced by collisionless dark matter. SIDM models provide a promising way to explain the diversity of galactic rotation curves, and they form a predictive and versatile framework for interpreting astrophysical phenomena related to dark matter.This review provides a comprehensive explanation of the physical effects of dark matter self-interactions in objects ranging from galactic satellites (dark and luminous) to clusters of galaxies and the large-scale structure. The second major part describes the methods used to constrain SIDM models including current constraints, with the aim of advancing tests with upcoming galaxy surveys. This part also provides a detailed review of the unresolved small-scale structure formation issues and concrete ways to test simple SIDM models. The

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Dark Matter Physics from the CMB-S4 Experiment

Cited by 6 publications

References 133 publications

Limits on the Light Dark Matter–Proton Cross Section from Cosmic Large-Scale Structure

Limits on the Light Dark Matter–Proton Cross Section from Cosmic Large-Scale Structure

Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

Astrophysical Tests of Dark Matter Self-Interactions

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