Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest
Observations of the Lyman- α forest from spectroscopic surveys such as the Baryon Oscillation Spectroscopic Survey or its extension, eBOSS, or the ongoing Dark Energy Spectroscopic Instrument (DESI) survey offer a unique window to study the growth of structure on megaparsec scales. Interpretation of...
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IOP Publishing
2023-01-01
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Series: | The Astrophysical Journal |
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Online Access: | https://doi.org/10.3847/1538-4357/acb433 |
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author | Christian Pedersen Andreu Font-Ribera Nickolay Y. Gnedin |
author_facet | Christian Pedersen Andreu Font-Ribera Nickolay Y. Gnedin |
author_sort | Christian Pedersen |
collection | DOAJ |
description | Observations of the Lyman- α forest from spectroscopic surveys such as the Baryon Oscillation Spectroscopic Survey or its extension, eBOSS, or the ongoing Dark Energy Spectroscopic Instrument (DESI) survey offer a unique window to study the growth of structure on megaparsec scales. Interpretation of these measurements is a complicated task, requiring hydrodynamical simulations to model and marginalize over the thermal and ionization state of the intergalactic medium. This complexity has limited the use of Ly α clustering measurements in joint cosmological analyses. In this work we show that the cosmological information content of the one-dimensional power spectrum ( P _1D ) of the Lyman- α forest can be compressed into a simple two-parameter likelihood without any significant loss of constraining power. We simulate P _1D measurements from DESI using hydrodynamical simulations and show that the compressed likelihood is model independent and lossless, recovering unbiased results even in the presence of massive neutrinos or running of the primordial power spectrum. |
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institution | Directory Open Access Journal |
issn | 1538-4357 |
language | English |
last_indexed | 2024-03-12T04:37:22Z |
publishDate | 2023-01-01 |
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series | The Astrophysical Journal |
spelling | doaj.art-c95dfad8bc344faea7908feb7c6a8ac42023-09-03T09:55:17ZengIOP PublishingThe Astrophysical Journal1538-43572023-01-01944222310.3847/1538-4357/acb433Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α ForestChristian Pedersen0https://orcid.org/0000-0002-4315-9295Andreu Font-Ribera1https://orcid.org/0000-0002-3033-7312Nickolay Y. Gnedin2https://orcid.org/0000-0001-5925-4580Center for Cosmology and Particle Physics, Department of Physics, New York University , New York, NY 10003, USA ; c.pedersen@nyu.edu; Center for Computational Astrophysics, Flatiron Institute , New York, NY 10010, USA; Department of Physics and Astronomy, University College London , London, WC1E 6BT, UK ; afont@ifae.es; Fermi National Accelerator Laboratory , Batavia, IL 60510, USA ; gnedin@fnal.govDepartment of Physics and Astronomy, University College London , London, WC1E 6BT, UK ; afont@ifae.es; Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology , E-08193 Bellaterra (Barcelona), SpainFermi National Accelerator Laboratory , Batavia, IL 60510, USA ; gnedin@fnal.gov; Kavli Institute for Cosmological Physics, The University of Chicago , Chicago, IL 60637 USA; Department of Astronomy & Astrophysics, The University of Chicago , Chicago, IL 60637 USAObservations of the Lyman- α forest from spectroscopic surveys such as the Baryon Oscillation Spectroscopic Survey or its extension, eBOSS, or the ongoing Dark Energy Spectroscopic Instrument (DESI) survey offer a unique window to study the growth of structure on megaparsec scales. Interpretation of these measurements is a complicated task, requiring hydrodynamical simulations to model and marginalize over the thermal and ionization state of the intergalactic medium. This complexity has limited the use of Ly α clustering measurements in joint cosmological analyses. In this work we show that the cosmological information content of the one-dimensional power spectrum ( P _1D ) of the Lyman- α forest can be compressed into a simple two-parameter likelihood without any significant loss of constraining power. We simulate P _1D measurements from DESI using hydrodynamical simulations and show that the compressed likelihood is model independent and lossless, recovering unbiased results even in the presence of massive neutrinos or running of the primordial power spectrum.https://doi.org/10.3847/1538-4357/acb433CosmologyLyman alpha forestAstronomy data reductionLarge-scale structure of the universe |
spellingShingle | Christian Pedersen Andreu Font-Ribera Nickolay Y. Gnedin Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest The Astrophysical Journal Cosmology Lyman alpha forest Astronomy data reduction Large-scale structure of the universe |
title | Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest |
title_full | Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest |
title_fullStr | Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest |
title_full_unstemmed | Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest |
title_short | Compressing the Cosmological Information in One-dimensional Correlations of the Lyman-α Forest |
title_sort | compressing the cosmological information in one dimensional correlations of the lyman α forest |
topic | Cosmology Lyman alpha forest Astronomy data reduction Large-scale structure of the universe |
url | https://doi.org/10.3847/1538-4357/acb433 |
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