A metal-line strength indicator for Damped Lyman Alpha (DLA) systems at low signal-to-noise

TL;DR

This paper introduces a metal strength indicator for Damped Lyman Alpha systems using low signal-to-noise spectra, enabling classification and analysis of DLA properties related to metallicity and halo mass.

Contribution

The authors define a new metal strength parameter based on 17 metal lines, allowing for improved DLA classification and analysis in low-quality spectra.

Findings

Distribution of the metal strength parameter $S$ is characterized.

Dependence of $S$ on $N_{HI}$ and redshift is analyzed.

A publicly available catalog of DLAs with metal line measurements is provided.

Abstract

The Baryon Oscillation Spectroscopic Survey of SDSS-III has provided an unprecedentedly large sample of Damped \lya systems (DLAs), the largest repositories of neutral hydrogen in the Universe. This DLA sample has been used to determine the DLA bias factor from their cross-correlation with the \lya forest absorption in \cite{FontRibera2012,Perez2018}, showing that DLAs are associated with relatively massive halos. However, the low resolution and signal-to-noise of BOSS spectra do not allow precise measurements of the DLA metal lines. We define a metal strength parameter, $S$, based on combining equivalent widths of 17 metal lines, that can be measured with an optimal signal-to-noise ratio for individual DLAs in BOSS spectra, allowing for the classification of the DLA population into subgroups of different $S$. We present the distribution of this DLA metal strength and the dependence of its mean value on $N_{\rm HI}$ and redshift. We search for systematic effects and variations in the catalogue purity by examining the dependence of the $S$ distribution on the spectral signal-to-noise and the estimated error on $S$. A catalogue of DLAs with measured equivalent widths for the selected 17 metal lines and the value of $S$ is made publicly available, which will be used to measure the dependence of the DLA bias factor on the $S$ parameter. The relation of the metal strength on the gas metal abundances and velocity dispersion can be constrained by studying the stacked metal absorption spectra of DLAs as a function of $S$, allowing for future determinations of the dependence of the bias factor on the metallicity and velocity dispersion of DLAs.