KiDS-1000: Combined halo-model cosmology constraints from galaxy abundance, galaxy clustering and galaxy-galaxy lensing

Dvornik, Andrej; Heymans, Catherine; Asgari, Marika; Mahony, Constance; Joachimi, Benjamin; Bilicki, Maciej; Chisari, Elisa; Hildebrandt, Hendrik; Hoekstra, Henk; Johnston, H. H.; Kuijken, Konrad; Mead, Alexander; Miyatake, Hironao; Nishimichi, Takahiro; Reischke, Robert; Unruh, Sandra; Wright, Angus H.

doi:10.48550/arxiv.2210.03110

Cited by 3 publications

(7 citation statements)

References 101 publications

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“…The use of the halo model for cosmological analysis has seen a recent boost (for example Miyatake et al 2022b;Tröster et al 2022;Dvornik et al 2022;Amon et al 2023), thanks to creative applications of corrections and adjustments to this flexible framework. The halo model can be applied in a more analytic versus a more simulation based approach.…”

Section: Discussionmentioning

confidence: 99%

“…In most cases, galaxy-galaxy lensing and galaxy clustering studies have limited themselves to large scales where the impact of baryon feedback and non-linear galaxy bias are small. Although, feedback has been accounted for in studies that push to smaller scales by allowing for a variable halo-concentration amplitude (accounting for matter redistribution) and a separate concentration amplitude for the satellite galaxies (see for example Cacciato et al 2013;Viola et al 2015;van Uitert et al 2016;Dvornik et al 2018;Debackere et al 2020;Dvornik et al 2022;Amon et al 2023).…”

Section: Referencementioning

confidence: 99%

“…the true mean number of satellites, and that a covariance between N c and N s is generated. Recent studies also show that the distribution of galaxies can be significantly non-Poissonian in a mass-dependant manner, and if ignored this can potentially bias cosmological results (Dvornik et al 2018;Beltz-Mohrmann et al 2020;Hadzhiyska et al 2022;Dvornik et al 2022).…”

Section: Galaxy Typementioning

confidence: 99%

“…Data from galaxy clustering and the cross-correlation between weak lensing and galaxy clustering, known as galaxy-galaxy lensing, have been analysed with a flexible halo model approach to capture information from smaller scales (for example Cacciato et al 2013;More et al 2015a;Miyatake et al 2022b;Dvornik et al 2022). Tröster et al (2022) applied the halo model formalism of Mead et al (2020) to the cross-correlation between tSZ and weak lensing in a cosmological analysis.…”

Section: Introductionmentioning

confidence: 99%

“…There have been many attempts to use the halo model to constrain cosmological and galaxy-halo parameters (e.g., Tinker et al 2005;van den Bosch et al 2013;More et al 2013;Cacciato et al 2013;More et al 2015b;Leauthaud et al 2017;Zacharegkas et al 2022). Recent attempts to include non-linear halo bias (Nishimichi et al 2019;Mead & Verde 2021) within the halo model provide a promising way to improve the accuracy of the halo model to the extent that it can be trusted to recover cosmological parameters and information about the galaxy-halo connection from current (e.g., Mahony et al 2022;Miyatake et al 2022b;Dvornik et al 2022) and forthcoming survey data. Another powerful property of the halo model is that its ingredients can be directly calibrated against real observations, by allowing for parameters to vary freely in likelihood analyses (see for example Gu et al 2023).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The halo model for cosmology: a pedagogical review

Asgari¹,

Mead²,

Heymans³

2023

Preprint

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We present a pedagogical review of the halo model, a flexible framework that can describe the distribution of matter and its tracers on non-linear scales for both conventional and exotic cosmological models. We start with the premise that the complex structure of the cosmic web can be described by the sum of its individual components: dark matter, gas, and galaxies, all distributed within spherical haloes with a range of masses. The halo properties are specified through a series of simulation-calibrated ingredients including the halo mass function, non-linear halo bias and a dark matter density profile that can additionally account for the impact of baryon feedback. By incorporating a model of the galaxy halo occupation distribution, the properties of central and satellite galaxies, their non-linear bias and intrinsic alignment can be predicted. Through analytical calculations of spherical collapse in exotic cosmologies, the halo model also provides predictions for non-linear clustering in beyond-ΛCDM models. The halo model has been widely used to model observations of a variety of large-scale structure probes, most notably as the primary technique to model the underlying non-linear matter power spectrum. By documenting these varied and often distinct use cases, we seek to further coherent halo model analyses of future multi-tracer observables. This review is accompanied by the release of pyhalomodel, flexible software to conduct a wide range of halo-model calculations.

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Section: Discussionmentioning

confidence: 99%

Section: Referencementioning

confidence: 99%

Section: Galaxy Typementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The halo model for cosmology: a pedagogical review

Asgari¹,

Mead²,

Heymans³

2023

Preprint

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Decaying Dark Matter and Lyman-α forest constraints

Fuß,

Garny

2023

J. Cosmol. Astropart. Phys.

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Decaying Cold Dark Matter (DCDM) is a model that is currently under investigation regarding primarily the S 8 tension between cosmic microwave background (CMB) and certain large-scale structure measurements. The decay into one massive and one (or more) massless daughter particle(s) leads to a suppression of the power spectrum in the late universe that depends on the relative mass splitting ϵ = (1 - m 2/M 2)/2 between the mother and massive daughter particle as well as the lifetime τ. In this work we investigate the impact of the BOSS DR14 one-dimensional Lyman-α forest flux power spectrum on the DCDM model using a conservative effective model approach to account for astrophysical uncertainties. Since the suppression of the power spectrum due to decay builds up at low redshift, we find that regions in parameter space that address the S 8 tension can be well compatible with the Lyman-α forest. Nevertheless, for values of the degeneracy parameter ϵ ∼ 0.1-0.5%, for which the power suppression occurs within the scales probed by BOSS Lyman-α data, we find improved constraints compared to previous CMB and galaxy clustering analyses, obtaining τ ≳ 18 Gyrs for small mass splitting. Furthermore, our analysis of the BOSS Lyman-α flux power spectrum allows for values τ ∼ 102 Gyrs, ϵ ∼ 1%, that have been found to be preferred by a combination of Planck and galaxy clustering data with a KiDS prior on S 8, and we even find a hint for a marginal preference within this regime.

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Galaxy–dark matter connection of photometric galaxies from the HSC-SSP Survey: galaxy–galaxy lensing and the halo model

Chaurasiya,

More,

Ishikawa

et al. 2023

Monthly Notices of the Royal Astronomical Society

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We infer the connection between stellar mass of galaxies from Subaru Hyper Suprime-Cam (HSC) survey, and their dark matter halo masses in two bins of redshifts between [0.3, 0.8]. We use measurements of the weak lensing of background galaxies from Year-1 shape catalogue from the HSC survey. We bin lens galaxies in stellar mass with varying thresholds ranging from $8.6\le \log [M_*/(h^{-2}{M_\odot })]\le \, 11.2$ and use stringent cuts in the selection of source galaxies to measure the lensing signal. We model these measurements of the lensing signals together with the abundance of galaxies in the halo occupation distribution framework. We obtain constraints on the halo occupation parameters of central galaxies Mmin and σlog M along with parameters that describe the occupation of the satellite galaxies. The measurements of abundance and lensing individually constrain different degeneracy directions in Mmin− σlog M plane, thus breaking the degeneracy in these parameters. We demonstrate that the lensing measurements are best able to constrain average central halo masses, 〈Mcen〉. We compare our measurements to those obtained using the abundance and clustering of these galaxies. We find that the galaxy–dark matter connection does not vary significantly between redshift bins we explore in this study. Uncertainties in the photometric redshift of the lens galaxies need to be studied to understand the true underlying stellar mass–halo mass relation and evolution of galaxies.

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KiDS-1000: Combined halo-model cosmology constraints from galaxy abundance, galaxy clustering and galaxy-galaxy lensing

Cited by 3 publications

References 101 publications

The halo model for cosmology: a pedagogical review

The halo model for cosmology: a pedagogical review

Decaying Dark Matter and Lyman-α forest constraints

Galaxy–dark matter connection of photometric galaxies from the HSC-SSP Survey: galaxy–galaxy lensing and the halo model

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