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BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos
We study the clustering properties of dark matter haloes in real- and redshift-space in cosmologies with massless and massive neutrinos through a large set of state-of-the-art N-body simulations. We provide quick and easy-to-use prescriptions for the halo bias on linear and mildly non-linear scales,...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1475-7516/2019/12/057 http://cds.cern.ch/record/2654550 |
_version_ | 1780961115256127488 |
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author | Valcin, David Villaescusa-Navarro, Francisco Verde, Licia Raccanelli, Alvise |
author_facet | Valcin, David Villaescusa-Navarro, Francisco Verde, Licia Raccanelli, Alvise |
author_sort | Valcin, David |
collection | CERN |
description | We study the clustering properties of dark matter haloes in real- and redshift-space in cosmologies with massless and massive neutrinos through a large set of state-of-the-art N-body simulations. We provide quick and easy-to-use prescriptions for the halo bias on linear and mildly non-linear scales, both in real and redshift-space, which are valid also for massive neutrinos cosmologies. Finally we present a halo bias emulator, BE-HaPPY, calibrated on the N-body simulations, which is fast enough to be used in the standard Markov Chain Monte Carlo approach to cosmological inference. For a fiducial standard ΛCDM cosmology BE-HaPPY reproduces the simulation inputs with percent or sub-percent accuracy for the halo mass cuts it is calibrated on (M>{5×1011, 1012, 3× 1012, 1013} h-1 M⊙) on the scales of interest (linear and well into the mildly non-linear regime). The approach presented here represents a well defined route to meeting the halo-bias accuracy requirements for the analysis of next-generation large-scale structure surveys. The software BE-HaPPY can run both in emulator mode and in calibration mode, on user-supplied simulations outputs, and is made publicly available. |
id | cern-2654550 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
record_format | invenio |
spelling | cern-26545502023-10-26T06:45:58Zdoi:10.1088/1475-7516/2019/12/057http://cds.cern.ch/record/2654550engValcin, DavidVillaescusa-Navarro, FranciscoVerde, LiciaRaccanelli, AlviseBE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinosastro-ph.COAstrophysics and AstronomyWe study the clustering properties of dark matter haloes in real- and redshift-space in cosmologies with massless and massive neutrinos through a large set of state-of-the-art N-body simulations. We provide quick and easy-to-use prescriptions for the halo bias on linear and mildly non-linear scales, both in real and redshift-space, which are valid also for massive neutrinos cosmologies. Finally we present a halo bias emulator, BE-HaPPY, calibrated on the N-body simulations, which is fast enough to be used in the standard Markov Chain Monte Carlo approach to cosmological inference. For a fiducial standard ΛCDM cosmology BE-HaPPY reproduces the simulation inputs with percent or sub-percent accuracy for the halo mass cuts it is calibrated on (M>{5×1011, 1012, 3× 1012, 1013} h-1 M⊙) on the scales of interest (linear and well into the mildly non-linear regime). The approach presented here represents a well defined route to meeting the halo-bias accuracy requirements for the analysis of next-generation large-scale structure surveys. The software BE-HaPPY can run both in emulator mode and in calibration mode, on user-supplied simulations outputs, and is made publicly available.We study the clustering properties of dark matter halos in real- and redshift-space in cosmologies with massless and massive neutrinos through a large set of state-of-the-art N-body simulations. We provide quick and easy-to-use prescriptions for the halo bias on linear and mildly non-linear scales, both in real and redshift space, which are valid also for massive neutrinos cosmologies. Finally we present a halo bias emulator,$\textbf{BE-HaPPY}$, calibrated on the N-body simulations, which is fast enough to be used in the standard Markov Chain Monte Carlo approach to cosmological inference. For a fiducial standard $\Lambda$CDM cosmology $\textbf{BE-HaPPY}$ provides percent or sub-percent accuracy on the scales of interest (linear and well into the mildly non-linear regime), meeting therefore for the halo-bias the accuracy requirements for the analysis of next-generation large--scale structure surveys.arXiv:1901.06045CERN-TH-2019-005oai:cds.cern.ch:26545502019-01-17 |
spellingShingle | astro-ph.CO Astrophysics and Astronomy Valcin, David Villaescusa-Navarro, Francisco Verde, Licia Raccanelli, Alvise BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos |
title | BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos |
title_full | BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos |
title_fullStr | BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos |
title_full_unstemmed | BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos |
title_short | BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos |
title_sort | be-happy: bias emulator for halo power spectrum including massive neutrinos |
topic | astro-ph.CO Astrophysics and Astronomy |
url | https://dx.doi.org/10.1088/1475-7516/2019/12/057 http://cds.cern.ch/record/2654550 |
work_keys_str_mv | AT valcindavid behappybiasemulatorforhalopowerspectrumincludingmassiveneutrinos AT villaescusanavarrofrancisco behappybiasemulatorforhalopowerspectrumincludingmassiveneutrinos AT verdelicia behappybiasemulatorforhalopowerspectrumincludingmassiveneutrinos AT raccanellialvise behappybiasemulatorforhalopowerspectrumincludingmassiveneutrinos |