Snowmass2021 Cosmic Frontier White Paper: Dark Matter Physics from Halo Measurements

Bechtol, K.; Birrer, Simon; Cyr-Racine, Francis-Yan; Schutz, Katelin; Adhikari, Susmita; Amin, Mustafa M.; Banerjee, Arka; Bird, Simeon; Blinov, Nikita; Boddy, Kimberly K.; Bœhm, Céline; Bundy, Kevin; Buschmann, Malte; Chakrabarti, Sukanya; Curtin, David Y.; Dai, Liang; Drlica-Wagner, A.; Dvorkin, Cora; Erickcek, Adrienne L.; Gilman, Daniel J.; Heeba, Saniya; Kim, Stacy; Iršič, Vid; Leauthaud, Alexie; Lovell, Mark A.; Lukić, Zarija; Mao, Yao-Yuan; Mau, S.; Mitridate, Andrea; Mocz, Philip; Muñoz, Julián B.; Nadler, Ethan O.; Peter, Annika H. G.; Price-Whelan, Adrian M.; Robertson, Andrew W.; Sehgal, Neelima; Shipp, Nora; Simon, Joshua D.; Singh, Rajeev; Tilburg, Ken Van; Widmark, Axel; Yu, Haibo

doi:10.48550/arxiv.2203.07354

Cited by 18 publications

(23 citation statements)

References 542 publications

(734 reference statements)

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“…As detailed in other Snowmass contributions, the observational facilities of the next decade or two can provide tremendous insight into the nature of dark matter (e.g., [195][196][197][198][199][200][201][202][203]). However, this opportunity can only be realized with a strong theory and simulation program.…”

Section: Dark Mattermentioning

confidence: 99%

Snowmass2021 Theory Frontier White Paper: Data-Driven Cosmology

Amin¹,

Cyr-Racine²,

Eifler³

et al. 2022

Preprint

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Over the past few decades, astronomical and cosmological data sets firmly established the existence of physics beyond the Standard Model of particle physics by providing strong evidence for the existence of dark matter, dark energy, and non-zero neutrino mass. In addition, the generation of primordial perturbations most likely also relies on physics beyond the Standard Model of particle physics. Theory work, ranging from models of the early universe in string theory that that led to novel phenomenological predictions to the development of effective field theories to large-scale cosmological simulations that include the physics of galaxy evolution, has played a key role in analyzing and interpreting these data sets and in suggesting novel paths forward to isolate the origins of this new physics. Over the next decade, even more sensitive surveys are beginning to take data and are being planned. In this white paper, we describe key areas of the theory program that will be needed to optimize the physics return on investment from these new observational opportunities.

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Section: Dark Mattermentioning

confidence: 99%

Snowmass2021 Theory Frontier White Paper: Data-Driven Cosmology

Amin¹,

Cyr-Racine²,

Eifler³

et al. 2022

Preprint

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“…The microphysics of DM imprints itself onto the time evolution of the DM cosmic density in ways that are testable with a plethora of observations. As summarized in the Snowmass contribution on halo mass [20] and on astrophysical and cosmological probes of DM [21], different theories of DM affect the matter power spectrum and non-linear halo mass function in model-dependent ways, which can be tested at high redshift with the formation of the first stars, at moderate redshifts with gravitational lensing and galaxy luminosity functions, and at z = 0 with ultrafaint satellite galaxies and stream gaps, among others. Some models of DM affect the expansion history of the universe [22], or do not change the expansion history but alter the growth function with respect to CDM, which may be testable using observations that span the cosmic microwave background to low-z probes of galaxies [23,24].…”

Section: Introduction and Executive Summarymentioning

confidence: 99%

“…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]. These new facilities promise sufficient raw sensitivity to provide powerful constraints on various classes of proposed DM models via many observational probes [20,21,25,26,32].…”

Section: Introduction and Executive Summarymentioning

confidence: 99%

“…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]. These new facilities promise sufficient raw sensitivity to provide powerful constraints on various classes of proposed DM models via many observational probes [20,21,25,26,32]. To do so, however, requires a systematic method for mapping the microphysics of the particle physics models to the space of observables at these facilities.…”

Section: Introduction and Executive Summarymentioning

confidence: 99%

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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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“…While coming from different physical effects, these types of dark matter all have the qualitative effect of introducing a cutoff in the power spectrum below a certain scale. The consequences of dark matter microphysics for structure formation has been parametrically studied in the ETHOS model [18,19] and such efforts are crucial in connecting observations to constraints [20,21].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Small-Scale Structure in the Cosmic Dark Ages

Inman¹,

Kohri²

2022

Preprint

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We consider the consequences of a matter power spectrum which rises on small scales until eventually being cutoff by microphysical processes associated with the particle nature of dark matter. Evolving the perturbations of a weakly interacting massive particle from before decoupling until deep in the nonlinear regime, we show that nonlinear structure can form abundantly at very high redshifts. In such a scenario, dark matter annihilation is substantially increased after matter-radiation equality. Furthermore, since the power spectrum can be increased over a broad range of scales, the first star forming halos may form earlier than usual as well. The next challenge is determining how early Universe observations may constrain such enhanced dark matter perturbations.

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Snowmass2021 Cosmic Frontier White Paper: Dark Matter Physics from Halo Measurements

Cited by 18 publications

References 542 publications

Snowmass2021 Theory Frontier White Paper: Data-Driven Cosmology

Snowmass2021 Theory Frontier White Paper: Data-Driven Cosmology

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

Enhanced Small-Scale Structure in the Cosmic Dark Ages

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