Cross-correlations between the CLAMATO Lyman-alpha forest and galaxies within the COSMOS field

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Authors: Benjamin Zhang, Khee‐Gan Lee, Andrei Cuceu, Andreu Font-Ribera, Rieko Momose
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Abstract

ABSTRACT We compute the 3D cross-correlation between the absorption of the $z\sim 2.3$ Lyman-alpha forest measured by the COSMOS Lyman-Alpha Mapping And Tomography Observations (CLAMATO) survey, and 1642 foreground galaxies with spectroscopic redshifts from several different surveys, including 3D-HST, CLAMATO, zCOSMOS-deep, MOSDEF, and VUDS. For each survey, we compare the measured cross-correlation with models incorporating the galaxy linear bias as well as observed redshift dispersion and systematic redshift offset. The derived redshift dispersion and offsets are generally consistent with those expected from, e.g. spectroscopic redshifts measured with ultraviolet absorption lines or near-infrared emission lines observed with specific instruments, but we find hints of ‘fingers-of-god’ caused by overdensities in the field. We combine our foreground galaxy sample, and split them into thin bins of robustly estimated stellar mass in order to study the stellar mass–halo mass relationship. For subsamples with median stellar masses of $\log _{10}(M_* / \mathrm{M}_\odot) = [9.28,9.74,10.22]$, we find galaxy biases of $b_\mathrm{ g}\approx [2.1, 3.2,3.8]$, respectively. A comparison with mock measurements from the Bolshoi–Planck N-body simulation yields corresponding halo masses of $\log _{10}(M_* / \mathrm{M}_\odot) \approx [10.5,11.7,12.1]$ for these stellar mass bins. At the low-mass end, our results suggest enhanced star formation histories in mild tension with predictions from previous angular correlation and abundance matching-based observations, and the IllustrisTNG simulation.

Fields of Study & Subjects

Galaxies: Formation Evolution Phenomena Astronomy and Astrophysical Research Space Technology and Applications

Publication details

Journal / source
Monthly Notices of the Royal Astronomical Society
Volume
548
Issue
4
Publication date
24 April 2026
Language
EN