The SDSS-DR12 large-scale cross-correlation of Damped Lyman Alpha Systems with the Lyman Alpha Forest
Ignasi P\'erez-R\`afols, Andreu Font-Ribera, Jordi Miralda-Escud\'e,, Michael Blomqvist, Simeon Bird, Nicol\'as Busca, H\'elion du Mas des, Bourboux, Llu\'is Mas-Ribas, Pasquier Noterdaeme, Patrick Petitjean, James, Rich, Donald P. Schneider

TL;DR
This paper measures the bias of Damped Lyman Alpha systems by cross-correlating them with the Lyman Alpha forest using SDSS-DR12 data, refining previous results with improved methods and final data release.
Contribution
It provides an updated measurement of DLA bias using the final BOSS data and an improved continuum fitting correction, offering insights into DLA host halo masses and their relation to galaxy formation models.
Findings
DLA bias measured as approximately 2.00 with statistical errors.
No dependence of DLA bias on column density or redshift.
Implication that DLA host halos have a broad mass range with a steep cross-section relation.
Abstract
We present a measurement of the DLA mean bias from the cross-correlation of DLA and the Ly forest, updating earlier results of Font-Ribera et al. 2012 with the final BOSS Data Release and an improved method to address continuum fitting corrections. Our cross-correlation is well fitted by linear theory with the standard model, with a DLA bias of ; a more conservative analysis, which removes DLA in the Ly forest and uses only the cross-correlation at , yields . This assumes the cosmological model from \cite{Planck2015} and the Ly forest bias factors of Bautista et al. 2017, and includes only statistical errors obtained from bootstrap analysis. The main systematic errors arise from possible impurities and selection effects in the DLA catalogue, and from uncertainties in the…
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