We exploit the recent determination of the cosmic star formation rate (SFR) density at high redshifts
to derive astroparticle constraints on three common dark matter (DM) scenarios alternative to standard cold dark matter (CDM): warm dark matter (WDM), fuzzy dark
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We exploit the recent determination of the cosmic star formation rate (SFR) density at high redshifts
to derive astroparticle constraints on three common dark matter (DM) scenarios alternative to standard cold dark matter (CDM): warm dark matter (WDM), fuzzy dark matter (
DM) and self-interacting dark matter (SIDM). Our analysis relies on the ultraviolet (UV) luminosity functions measured from blank field surveys by the Hubble Space Telescope out to
and down to UV magnitudes
. We extrapolate these to fainter yet unexplored magnitude ranges and perform abundance matching with the halo mass functions in a given DM scenario, thus, obtaining a redshift-dependent relationship between the UV magnitude and the halo mass. We then computed the cosmic SFR density by integrating the extrapolated UV luminosity functions down to a faint magnitude limit
, which is determined via the above abundance matching relationship by two free parameters: the minimum threshold halo mass
for galaxy formation, and the astroparticle quantity
X characterizing each DM scenario (namely, particle mass for WDM and
DM, and kinetic temperature at decoupling
for SIDM). We perform Bayesian inference on such parameters using a Monte Carlo Markov Chain (MCMC) technique by comparing the cosmic SFR density from our approach to the current observational estimates at
, constraining the WDM particle mass to
keV, the
DM particle mass to
eV, and the SIDM temperature to
keV at
(
) confidence level. Finally, we forecast how such constraints will be strengthened by upcoming refined estimates of the cosmic SFR density if the early data on the UV luminosity function at
from the James Webb Space Telescope (JWST) will be confirmed down to ultra-faint magnitudes.
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