Novel constraints on non-cold (non-thermal) Dark Matter from Lyman-$\alpha$ forest data
Riccardo Murgia, Vid Ir\v{s}i\v{c}, Matteo Viel

TL;DR
This paper introduces a flexible method to constrain various non-cold dark matter models using Lyman-alpha forest data, providing new limits on dark matter properties and testing multiple scenarios without extensive simulations.
Contribution
The authors develop a novel parametrisation and interpolation scheme enabling constraints on diverse nCDM models from Lyman-alpha data without running specific simulations.
Findings
Upper limit on power suppression scale: α<0.03 Mpc/h (2σ C.L.)
Mild tension between thermal warm DM models and data (~2σ C.L.)
Mixed warm and cold DM models are also in tension with observations
Abstract
In this paper we present an efficient method for constraining both thermal and non-thermal Dark Matter (DM) scenarios with the Lyman- forest, based on a simple and flexible parametrisation capable to reproduce the small scale clustering signal of a large set of non-cold DM (nCDM) models. We extract new limits on the fundamental DM properties, through an extensive analysis of the high resolution, high redshift data obtained by the MIKE/HIRES spectrographs. By using a large suite of hydrodynamical simulations, we determine constraints on both astrophysical, cosmological, and nCDM parameters by performing a full Monte Carlo Markov Chain (MCMC) analysis. We obtain a marginalised upper limit on the largest possible scale at which a power suppression induced by nearly any nCDM scenario can occur, i.e. (2 C.L.). We explicitly describe how to test…
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