Snowmass2021 Computational Frontier White Paper: Cosmological Simulations and Modeling

Alvarez, Marcelo A.; Banerjee, Arka; Birrer, Simon; Habib, Salman; Heitmann, Katrin; Lukić, Zarija; Muñoz, Julián B.; Omori, Y.; Park, Hyunbae; Peter, Annika H. G.; Sexton, Jean; Zhong, Yiming

doi:10.48550/arxiv.2203.07347

Cited by 3 publications

(5 citation statements)

References 136 publications

(148 reference statements)

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“…In this section, we will highlight a few concrete examples where theoretical and analysis techniques are essential and require future investment. See [1,2,36,[240][241][242] and reference therein for a more thorough discussion of the theoretical implications described below.…”

Section: Theory and Analysismentioning

confidence: 99%

“…These simulations provide the testing suite to understand the interplay of these effects with the signals from gravitational waves. The challenges facing the simulation community include simulating large enough volumes to capture both large scale effects while still having resolution to reach low mass objects [240]. Relying too closely on sub-grid modelling can lead to biases in the foreground simulations, and an inability to distinguish new physics from foreground modelling [322,323].…”

Section: Astrophysical Modellingmentioning

confidence: 99%

“…Similarly, many of the current emulators have been built around models close to the ΛCDM paradigm, and on gravity-only simulations. Extending the model space and coupling the advances in hydrodynamical modelling with those in fundamental theory model-building will be key to ensuring that future observations are able to make contact with theory [240].…”

Section: Data Analysis Pipeline Developmentmentioning

confidence: 99%

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Report of the Topical Group on Cosmic Frontier 5 Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before for Snowmass 2021

Chang¹,

Newburgh²,

Shoemaker³

et al. 2022

Preprint

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This report summarizes the envisioned research activities as gathered from the Snowmass 2021 CF5 working group concerning Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before. The scientific goals are to study inflation and to search for new physics through precision measurements of relic radiation from the early universe. The envisioned research activities for this decade (2025-35) are constructing and operating major facilities and developing critical enabling capabilities. The major facilities for this decade are the CMB-S4 project, a new Stage-V spectroscopic survey facility, and existing gravitational wave observatories. Enabling capabilities include aligning and investing in theory, computation and model building, and investing in new technologies needed for early universe studies in the following decade (2035+).

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Section: Theory and Analysismentioning

confidence: 99%

Section: Astrophysical Modellingmentioning

confidence: 99%

Section: Data Analysis Pipeline Developmentmentioning

confidence: 99%

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Report of the Topical Group on Cosmic Frontier 5 Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before for Snowmass 2021

Chang¹,

Newburgh²,

Shoemaker³

et al. 2022

Preprint

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show abstract

“…The simulation needs for much of the dark matter community reflect the Computing Frontier consensus [41], namely: continuation of Geant4 support and training; continued support for event generators, including those developed as part of a national security program; support for detector-specific simulation packages; and enhanced opportunities for cross-collaboration communication. While cosmic surveys require a different type of simulation (large cosmological volumes), many of the infrastructure needs are complementary [16,42].…”

Section: Computing Frontiermentioning

confidence: 99%

Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)

Boveia¹,

Chen²,

Doglioni³

et al. 2022

Preprint

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The fundamental nature of Dark Matter is a central theme of the Snowmass 2021 process, extending across all frontiers. In the last decade, advances in detector technology, analysis techniques and theoretical modeling have enabled a new generation of experiments and searches while broadening the types of candidates we can pursue. Over the next decade, there is great potential for discoveries that would transform our understanding of dark matter. In the following, we outline a road map for discovery developed in collaboration among the frontiers. A strong portfolio of experiments that delves deep, searches wide, and harnesses the complementarity between techniques is key to tackling this complicated problem, requiring expertise, results, and planning from all Frontiers of the Snowmass 2021 process. Note from the authors: This is the first version of the Cross-Frontier Complementarity report. We welcome feedback or changes (including constructive criticism) that you'd like us to take into account in the next version, on this google document.

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“…It should also be stressed that such a simulation-driven approach will also enable other crucial aspects of the Cosmic Frontier -including constraining the nature of Dark Energy, and constraining the total mass of the Standard Model neutrinos. These aspects are explored in greater detail in a companion Snowmass 2021 white paper [40].…”

Section: Introduction and Executive Summarymentioning

confidence: 99%

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

Banerjee¹,

Boddy²,

Cyr-Racine³

et al. 2022

Preprint

Self Cite

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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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Snowmass2021 Computational Frontier White Paper: Cosmological Simulations and Modeling

Abstract: Cosmological Simulations and Modelingrobust error control mechanisms will be essential features of these efforts. This white paper details a simulation program to fully realize the potential of the coming decade's cosmic observatories.

Cited by 3 publications

References 136 publications

Report of the Topical Group on Cosmic Frontier 5 Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before for Snowmass 2021

Report of the Topical Group on Cosmic Frontier 5 Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before for Snowmass 2021

Snowmass 2021 Cross Frontier Report: Dark Matter Complementarity (Extended Version)

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

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