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Precision analysis of the redshift-space galaxy bispectrum

We study the information content of the angle-averaged redshift space galaxy bispectrum. The main novelty of our approach is the use of a systematic tree-level perturbation theory model that includes galaxy bias, IR resummation, and also accounts for nonlinear redshift space distortions, binning, an...

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Autores principales: Ivanov, Mikhail M., Philcox, Oliver H.E., Nishimichi, Takahiro, Simonović, Marko, Takada, Masahiro, Zaldarriaga, Matias
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1103/PhysRevD.105.063512
http://cds.cern.ch/record/2788511
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author Ivanov, Mikhail M.
Philcox, Oliver H.E.
Nishimichi, Takahiro
Simonović, Marko
Takada, Masahiro
Zaldarriaga, Matias
author_facet Ivanov, Mikhail M.
Philcox, Oliver H.E.
Nishimichi, Takahiro
Simonović, Marko
Takada, Masahiro
Zaldarriaga, Matias
author_sort Ivanov, Mikhail M.
collection CERN
description We study the information content of the angle-averaged redshift space galaxy bispectrum. The main novelty of our approach is the use of a systematic tree-level perturbation theory model that includes galaxy bias, IR resummation, and also accounts for nonlinear redshift space distortions, binning, and projection effects. We analyze data from the perturbation theory challenge simulations, whose cumulative volume of <math display="inline"><mrow><mn>566</mn><mtext> </mtext><mtext> </mtext><msup><mrow><mi>h</mi></mrow><mrow><mo>-</mo><mn>3</mn></mrow></msup><mtext> </mtext><msup><mrow><mi>Gpc</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></math> allows for a precise comparison to theoretical predictions. Fitting the power spectrum and bispectrum of our simulated data, and varying all necessary cosmological and nuisance parameters in a consistent Markov chain Monte Carlo analysis, we find that our tree-level bispectrum model is valid up to <math display="inline"><mrow><msub><mrow><mi>k</mi></mrow><mrow><mi>max</mi></mrow></msub><mo>=</mo><mn>0.08</mn><mtext> </mtext><mtext> </mtext><mi>h</mi><mtext> </mtext><msup><mrow><mi>Mpc</mi></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></math> (at <math display="inline"><mi>z</mi><mo>=</mo><mn>0.61</mn></math>). We also find that inclusion of the bispectrum monopole improves constraints on cosmological parameters by (5–15)% relative to the power spectrum. The improvement is more significant for the quadratic bias parameters of our simulated galaxies, which we also show to deviate from biases of the host dark matter halos at the <math display="inline"><mo>∼</mo><mn>3</mn><mi>σ</mi></math> level. Finally, we adjust the covariance and scale cuts to match the volume of the BOSS survey, and estimate that within the minimal <math display="inline"><mi mathvariant="normal">Λ</mi><mi>CDM</mi></math> model the bispectrum data can tighten the constraint on the mass fluctuation amplitude <math display="inline"><msub><mi>σ</mi><mn>8</mn></msub></math> by roughly 10%.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27885112023-10-26T07:14:57Zdoi:10.1103/PhysRevD.105.063512http://cds.cern.ch/record/2788511engIvanov, Mikhail M.Philcox, Oliver H.E.Nishimichi, TakahiroSimonović, MarkoTakada, MasahiroZaldarriaga, MatiasPrecision analysis of the redshift-space galaxy bispectrumastro-ph.COAstrophysics and AstronomyWe study the information content of the angle-averaged redshift space galaxy bispectrum. The main novelty of our approach is the use of a systematic tree-level perturbation theory model that includes galaxy bias, IR resummation, and also accounts for nonlinear redshift space distortions, binning, and projection effects. We analyze data from the perturbation theory challenge simulations, whose cumulative volume of <math display="inline"><mrow><mn>566</mn><mtext> </mtext><mtext> </mtext><msup><mrow><mi>h</mi></mrow><mrow><mo>-</mo><mn>3</mn></mrow></msup><mtext> </mtext><msup><mrow><mi>Gpc</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></math> allows for a precise comparison to theoretical predictions. Fitting the power spectrum and bispectrum of our simulated data, and varying all necessary cosmological and nuisance parameters in a consistent Markov chain Monte Carlo analysis, we find that our tree-level bispectrum model is valid up to <math display="inline"><mrow><msub><mrow><mi>k</mi></mrow><mrow><mi>max</mi></mrow></msub><mo>=</mo><mn>0.08</mn><mtext> </mtext><mtext> </mtext><mi>h</mi><mtext> </mtext><msup><mrow><mi>Mpc</mi></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></math> (at <math display="inline"><mi>z</mi><mo>=</mo><mn>0.61</mn></math>). We also find that inclusion of the bispectrum monopole improves constraints on cosmological parameters by (5–15)% relative to the power spectrum. The improvement is more significant for the quadratic bias parameters of our simulated galaxies, which we also show to deviate from biases of the host dark matter halos at the <math display="inline"><mo>∼</mo><mn>3</mn><mi>σ</mi></math> level. Finally, we adjust the covariance and scale cuts to match the volume of the BOSS survey, and estimate that within the minimal <math display="inline"><mi mathvariant="normal">Λ</mi><mi>CDM</mi></math> model the bispectrum data can tighten the constraint on the mass fluctuation amplitude <math display="inline"><msub><mi>σ</mi><mn>8</mn></msub></math> by roughly 10%.We study the information content of the angle-averaged (monopole) redshift space galaxy bispectrum. The main novelty of our approach is the use of a systematic tree-level perturbation theory model that includes galaxy bias, IR resummation, and also accounts for nonlinear redshift space distortions, binning, and projection effects. We analyze data from the PT challenge simulations, whose cumulative volume of 566 $h^{-3}$Gpc$^3$ allows for a precise comparison to theoretical predictions. Fitting the power spectrum and bispectrum of our simulated data, and varying all necessary cosmological and nuisance parameters in a consistent Markov chain Monte Carlo analysis, we find that our tree-level bispectrum model is valid up to $k_{\max}=0.08~h{\rm Mpc}^{-1}$ (at $z=0.61$). We also find that inclusion of the bispectrum monopole improves constraints on cosmological parameters by $(5-15)\%$ relative to the power spectrum. The improvement is more significant for the quadratic bias parameters of our simulated galaxies, which we also show to deviate from biases of the host dark matter halos at the $\sim 3\sigma$ level. Finally, we adjust the covariance and scale cuts to match the volume of the BOSS survey, and estimate that within the minimal $\Lambda$CDM model the bispectrum data can tighten the constraint on the mass fluctuation amplitude $\sigma_8$ by roughly $10\%$.arXiv:2110.10161YITP-21-120CERN-TH-2021-155oai:cds.cern.ch:27885112021-10-19
spellingShingle astro-ph.CO
Astrophysics and Astronomy
Ivanov, Mikhail M.
Philcox, Oliver H.E.
Nishimichi, Takahiro
Simonović, Marko
Takada, Masahiro
Zaldarriaga, Matias
Precision analysis of the redshift-space galaxy bispectrum
title Precision analysis of the redshift-space galaxy bispectrum
title_full Precision analysis of the redshift-space galaxy bispectrum
title_fullStr Precision analysis of the redshift-space galaxy bispectrum
title_full_unstemmed Precision analysis of the redshift-space galaxy bispectrum
title_short Precision analysis of the redshift-space galaxy bispectrum
title_sort precision analysis of the redshift-space galaxy bispectrum
topic astro-ph.CO
Astrophysics and Astronomy
url https://dx.doi.org/10.1103/PhysRevD.105.063512
http://cds.cern.ch/record/2788511
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AT nishimichitakahiro precisionanalysisoftheredshiftspacegalaxybispectrum
AT simonovicmarko precisionanalysisoftheredshiftspacegalaxybispectrum
AT takadamasahiro precisionanalysisoftheredshiftspacegalaxybispectrum
AT zaldarriagamatias precisionanalysisoftheredshiftspacegalaxybispectrum