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Primordial non-Gaussianity in the bispectra of large-scale structure

Gianmassimo Tasinato Orcid Logo, Matteo Tellarini, Ashley J. Ross, David Wands

Journal of Cosmology and Astroparticle Physics, Volume: 2014, Issue: 03, Pages: 032 - 032

Swansea University Author: Gianmassimo Tasinato Orcid Logo

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DOI (Published version): 10.1088/1475-7516/2014/03/032

Abstract

The statistics of large-scale structure in the Universe can be used to probe non- Gaussianity of the primordial density field, complementary to existing constraints from the cosmic microwave background. In particular, the scale dependence of halo bias, which affects the halo distribution at large sc...

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Published in: Journal of Cosmology and Astroparticle Physics
ISSN: 1475-7516
Published: 2014
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URI: https://cronfa.swan.ac.uk/Record/cronfa21702
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first_indexed 2015-05-27T02:10:55Z
last_indexed 2018-05-12T12:49:41Z
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spelling 2018-05-12T07:23:18.0671391 v2 21702 2015-05-26 Primordial non-Gaussianity in the bispectra of large-scale structure cb754b073d1e4949c5e3db97744d3301 0000-0002-9835-4864 Gianmassimo Tasinato Gianmassimo Tasinato true false 2015-05-26 SPH The statistics of large-scale structure in the Universe can be used to probe non- Gaussianity of the primordial density field, complementary to existing constraints from the cosmic microwave background. In particular, the scale dependence of halo bias, which affects the halo distribution at large scales, represents a promising tool for analyzing primordial non- Gaussianity of local form. Future observations, for example, may be able to constrain the trispectrum parameter gNL that is difficult to study and constrain using the CMB alone. We investigate how galaxy and matter bispectra can distinguish between the two non-Gaussian parameters fNL and gNL, whose effects give nearly degenerate contributions to the power spectra. We use a generalization of the univariate bias approach, making the hypothesis that the number density of halos forming at a given position is a function of the local matter density contrast and of its local higher-order statistics. Using this approach, we calculate the halo- matter bispectra and analyze their properties. We determine a connection between the sign of the halo bispectrum on large scales and the parameter gNL. We also construct a combination of halo and matter bispectra that is sensitive to fNL, with little contamination from gNL. We study both the case of single and multiple sources to the primordial gravitational potential, discussing how to extend the concept of stochastic halo bias to the case of bispectra. We use a specific halo mass-function to calculate numerically the bispectra in appropriate squeezed limits, confirming our theoretical findings. Journal Article Journal of Cosmology and Astroparticle Physics 2014 03 032 032 1475-7516 31 12 2014 2014-12-31 10.1088/1475-7516/2014/03/032 COLLEGE NANME Physics COLLEGE CODE SPH Swansea University 2018-05-12T07:23:18.0671391 2015-05-26T14:54:06.8767071 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics Gianmassimo Tasinato 0000-0002-9835-4864 1 Matteo Tellarini 2 Ashley J. Ross 3 David Wands 4
title Primordial non-Gaussianity in the bispectra of large-scale structure
spellingShingle Primordial non-Gaussianity in the bispectra of large-scale structure
Gianmassimo Tasinato
title_short Primordial non-Gaussianity in the bispectra of large-scale structure
title_full Primordial non-Gaussianity in the bispectra of large-scale structure
title_fullStr Primordial non-Gaussianity in the bispectra of large-scale structure
title_full_unstemmed Primordial non-Gaussianity in the bispectra of large-scale structure
title_sort Primordial non-Gaussianity in the bispectra of large-scale structure
author_id_str_mv cb754b073d1e4949c5e3db97744d3301
author_id_fullname_str_mv cb754b073d1e4949c5e3db97744d3301_***_Gianmassimo Tasinato
author Gianmassimo Tasinato
author2 Gianmassimo Tasinato
Matteo Tellarini
Ashley J. Ross
David Wands
format Journal article
container_title Journal of Cosmology and Astroparticle Physics
container_volume 2014
container_issue 03
container_start_page 032
publishDate 2014
institution Swansea University
issn 1475-7516
doi_str_mv 10.1088/1475-7516/2014/03/032
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Physics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Physics
document_store_str 0
active_str 0
description The statistics of large-scale structure in the Universe can be used to probe non- Gaussianity of the primordial density field, complementary to existing constraints from the cosmic microwave background. In particular, the scale dependence of halo bias, which affects the halo distribution at large scales, represents a promising tool for analyzing primordial non- Gaussianity of local form. Future observations, for example, may be able to constrain the trispectrum parameter gNL that is difficult to study and constrain using the CMB alone. We investigate how galaxy and matter bispectra can distinguish between the two non-Gaussian parameters fNL and gNL, whose effects give nearly degenerate contributions to the power spectra. We use a generalization of the univariate bias approach, making the hypothesis that the number density of halos forming at a given position is a function of the local matter density contrast and of its local higher-order statistics. Using this approach, we calculate the halo- matter bispectra and analyze their properties. We determine a connection between the sign of the halo bispectrum on large scales and the parameter gNL. We also construct a combination of halo and matter bispectra that is sensitive to fNL, with little contamination from gNL. We study both the case of single and multiple sources to the primordial gravitational potential, discussing how to extend the concept of stochastic halo bias to the case of bispectra. We use a specific halo mass-function to calculate numerically the bispectra in appropriate squeezed limits, confirming our theoretical findings.
published_date 2014-12-31T03:25:48Z
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score 11.029921

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