On the Redshift Evolution of MgII Absorption Systems
Jeremy L. Tinker (Berkeley/BCCP) Hsiao-Wen Chen (Chicago/KICP)

TL;DR
This study models the evolution of MgII absorption systems with redshift by linking them to dark matter halos, revealing that gaseous halo evolution explains observed absorber statistics and predicting how clustering bias varies over time.
Contribution
It introduces a halo occupation model that constrains MgII absorber evolution and predicts clustering bias changes across redshift, highlighting the role of gaseous halo evolution.
Findings
MgII absorber evolution is driven by gaseous halo changes.
Strong absorbers are associated with ~Mcrit halos across redshifts.
Clustering bias anti-correlation with equivalent width flattens around z~1.5.
Abstract
We use a halo occupation approach to connect MgII absorbers to dark matter halos as a function of redshift. Using the model constructed in Tinker & Chen (2008), we parameterize the conditional probability of an absorber of equivalent width Wr being produced by a halo of mass M_h at a given redshift, P(Wr|M_h,z). We constrain the free parameters of the model by matching the observed statistics of MgII absorbers: the frequency function f(Wr), the redshift evolution n(z), and the clustering bias b(Wr). The redshift evolution of Wr>1 A absorbers increases from z=0.4 to z=2, while the total halo cross section decreases monotonically with redshift. This discrepancy can only be explained if the gaseous halos evolve with respect to their host halos. We make predictions for the clustering bias of absorbers as a function of redshift under different evolutionary scenarios, eg, the gas cross…
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