Unveiling Dark Matter free-streaming at the smallest scales with high redshift Lyman-alpha forest
Vid Ir\v{s}i\v{c}, Matteo Viel, Martin G. Haehnelt, James S. Bolton,, Margherita Molaro, Ewald Puchwein, Elisa Boera, George D. Becker, Prakash, Gaikwad, Laura C. Keating, Girish Kulkarni

TL;DR
This paper uses high-redshift Lyman-alpha forest data and advanced Bayesian analysis to set new lower limits on warm dark matter particle mass, improving constraints by analyzing smaller scales and larger samples.
Contribution
It introduces a novel, simulation-based likelihood framework that incorporates various astrophysical parameters to tighten constraints on warm dark matter from high-redshift quasar spectra.
Findings
Lower limit on WDM particle mass is 5.7 keV at 95% CL.
Expanded sample size and smaller scales improve WDM constraints.
Thermal history uncertainties have less impact on mass constraints due to better observations.
Abstract
This study introduces novel constraints on the free-streaming of thermal relic warm dark matter (WDM) from Lyman- forest flux power spectra. Our analysis utilises a high-resolution, high-redshift sample of quasar spectra observed using the HIRES and UVES spectrographs (). We employ a Bayesian inference framework and a simulation-based likelihood that encompasses various parameters including the free-streaming of dark matter, cosmological parameters, the thermal history of the intergalactic medium, and inhomogeneous reionization, to establish lower limits on the mass of a thermal relic WDM particle of (at 95\% C.L.). This result surpasses previous limits from the Lyman- forest through reduction of the measured uncertainties due to a larger statistical sample and by measuring clustering to smaller scales ($k_{\rm…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries · Astronomy and Astrophysical Research
