ETHOS – an effective theory of structure formation: formation of the first haloes and their stars

Lovell, Mark R.; Zavala, Jesús; Vogelsberger, Mark

doi:10.1093/mnras/stz766

Cited by 23 publications

(32 citation statements)

References 68 publications

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“…With these, predictions for the nonlinear structure, their observable signatures, and comparison with observations, can be obtained for any DM model. This has been done for the first galaxies and reionization, the Ly-a-forest, the abundance of dwarf galaxies, and gravitational lensing (Murgia et al 2017;Lovell et al 2018;Dı ´az Rivero et al 2018;Lovell et al 2019;Bose et al 2019).…”

Section: Effective Descriptionsmentioning

confidence: 99%

Large-scale dark matter simulations

Angulo

Hahn

2022

Living Rev Comput Astrophys

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We review the field of collisionless numerical simulations for the large-scale structure of the Universe. We start by providing the main set of equations solved by these simulations and their connection with General Relativity. We then recap the relevant numerical approaches: discretization of the phase-space distribution (focusing on N-body but including alternatives, e.g., Lagrangian submanifold and Schrödinger–Poisson) and the respective techniques for their time evolution and force calculation (direct summation, mesh techniques, and hierarchical tree methods). We pay attention to the creation of initial conditions and the connection with Lagrangian Perturbation Theory. We then discuss the possible alternatives in terms of the micro-physical properties of dark matter (e.g., neutralinos, warm dark matter, QCD axions, Bose–Einstein condensates, and primordial black holes), and extensions to account for multiple fluids (baryons and neutrinos), primordial non-Gaussianity and modified gravity. We continue by discussing challenges involved in achieving highly accurate predictions. A key aspect of cosmological simulations is the connection to cosmological observables, we discuss various techniques in this regard: structure finding, galaxy formation and baryonic modelling, the creation of emulators and light-cones, and the role of machine learning. We finalise with a recount of state-of-the-art large-scale simulations and conclude with an outlook for the next decade.

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Section: Effective Descriptionsmentioning

confidence: 99%

Large-scale dark matter simulations

Angulo

Hahn

2022

Living Rev Comput Astrophys

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“…With these, predictions for the nonlinear structure, their observable signatures, and comparison with observations, can be obtained for any DM model. This has been done for the first galaxies and reionization, the Ly-α-forest, the abundance of dwarf galaxies, and gravitational lensing (Murgia et al 2017;Lovell et al 2018;Díaz Rivero et al 2018;Lovell et al 2019;Bose et al 2019).…”

Section: Effective Descriptionsmentioning

confidence: 99%

Large-scale dark matter simulations

Angulo,

Hahn

2021

Preprint

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We review the field of collisionless numerical simulations for the large-scale structure of the Universe. We start by providing the main set of equations solved by these simulations and their connection with General Relativity. We then recap the relevant numerical approaches: discretization of the phase-space distribution (focusing on N -body but including alternatives, e.g., Lagrangian submanifold and Schrödinger-Poisson) and the respective techniques for their time evolution and force calculation (Direct summation, mesh techniques, and hierarchical tree methods). We pay attention to the creation of initial conditions and the connection with Lagrangian Perturbation Theory. We then discuss the possible alternatives in terms of the micro-physical properties of dark matter (e.g., neutralinos, warm dark matter, QCD axions, Bose-Einstein condensates, and primordial black holes), and extensions to account for multiple fluids (baryons and neutrinos), primordial non-Gaussianity and modified gravity. We continue by discussing challenges involved in achieving highly accurate predictions. A key aspect of cosmological simulations is the connection to cosmological observables, we discuss various techniques in this regard: structure finding, galaxy formation and baryonic modelling, the creation of emulators and light-cones, and the role of machine learning. We finalise with a recount of state-of-the-art large-scale simulations and conclude with an outlook for the next decade.

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“…We encourage the reader to see Refs. [65,66,92] for the effect of ETHOS models on reionization and the Lyman-α forest.…”

Section: Ingredients For the 21-cm Simulationsmentioning

confidence: 99%

ETHOS ‐ an effective theory of structure formation: Impact of dark acoustic oscillations on cosmic dawn

et al. 2021

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Upcoming data of the 21-cm hydrogen line during cosmic dawn (z ∼ 10-30) will revolutionize our understanding of the astrophysics of the first galaxies. Here we present a case study on how to exploit those same measurements to learn about the nature of dark matter (DM) at small scales. Focusing on the effective theory of structure formation (ETHOS) paradigm, we run a suite of simulations covering a broad range of DM microphysics, connecting the output of N-body simulations to dedicated 21-cm simulations to predict the evolution of the 21-cm signal across the entire cosmic dawn. We find that observatories targeting both the global signal and the 21-cm power spectrum are sensitive to all ETHOS models we study, and can distinguish them from CDM if the suppression wave number is smaller than k ≈ 300 h=Mpc, even when accounting for feedback with a phenomenological model. This is an order of magnitude smaller comoving scales than currently constrained by other datasets, including the Lyman-α forest. Moreover, if a prospective 21-cm detection confirmed a deficiency of power at small scales, we show that ETHOS models with strong dark acoustic oscillations can be discriminated from the pure suppression of warm dark matter, showing the power of 21-cm data to understand the behavior of DM at the smallest physical scales.

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ETHOS – an effective theory of structure formation: formation of the first haloes and their stars

Cited by 23 publications

References 68 publications

Large-scale dark matter simulations

Large-scale dark matter simulations

Large-scale dark matter simulations

ETHOS ‐ an effective theory of structure formation: Impact of dark acoustic oscillations on cosmic dawn

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