Reanalyzing DESI DR1: 5. Cosmological Constraints with Simulation-Based Priors
Anton Chudaykin, Mikhail M. Ivanov, Oliver H. E. Philcox

TL;DR
This paper uses simulation-based priors derived from field-level simulations to improve cosmological parameter constraints from DESI DR1 data, achieving significant enhancements over baseline results and providing the strongest neutrino mass limits to date.
Contribution
Introduces a novel method of using simulation-based priors via normalizing flows to enhance cosmological parameter estimation from large-scale structure data.
Findings
Enhanced constraints on $oldsymbol{ m extit{ extbf{ extOmega}}}_m$, $oldsymbol{H_0}$, and $oldsymbol{ m extit{ extsigma}}_8$ with 1-50% improvements.
Significant impact on extended models, notably improving dark energy figure-of-merit by 70%.
Sets the strongest neutrino mass limits to date, supporting the normal hierarchy.
Abstract
We analyze the public DESI full-shape clustering data using simulation-based priors (SBPs). Our priors are obtained by fitting normalizing flows to the distribution of EFT parameters measured from field-level simulations, themselves generated using tailored halo occupation distribution (HOD) models for each tracer. Incorporating SBPs in a power spectrum analysis significantly enhances CDM cosmological parameter constraints; in combination with BAO information from DESI DR2 and a BBN prior on the baryon density, we find the matter density parameter , the Hubble constant , and the mass fluctuation amplitude (or the lensing parameter ), which are , and stronger than the baseline results, though with a notable downwards…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Gamma-ray bursts and supernovae
