SIMBAD references

We extend the results of previous analyses towards constraining the abundance and clustering of post-reionization (z ∼ 0-5) neutral hydrogen (H I) systems using a halo model framework. We work with a comprehensive H I data set including the small-scale clustering, column density and mass function of H I galaxies at low redshifts, intensity mapping measurements at intermediate redshifts and the ultraviolet/optical observations of Damped Lyman Alpha (DLA) systems at higher redshifts. We use a Markov Chain Monte Carlo (MCMC) approach to constrain the parameters of the best-fitting models, both for the H I-halo mass (HIHM) relation and the H I radial density profile. We find that a radial exponential profile results in a good fit to the low-redshift H I observations, including the clustering and the column density distribution. The form of the profile is also found to match the high-redshift DLA observations, when used in combination with a three-parameter HIHM relation and a redshift evolution in the H I concentration. The halo model predictions are in good agreement with the observed H I surface density profiles of low-redshift galaxies, and the general trends in the impact parameter and covering fraction observations of high-redshift DLAs. We provide convenient tables summarizing the best-fitting halo model predictions.