Broad Absorption Line Quasars in the Dark Energy Spectroscopic Instrument Early Data Release

TL;DR

This paper presents a catalog of BAL quasars from DESI data, detailing an automatic identification method, redshift re-evaluation, and the potential for studying rare BAL populations, improving quasar clustering measurements.

Contribution

It introduces a new automated method for identifying BAL quasars in DESI data and demonstrates improved redshift accuracy for cosmological analyses.

Findings

BAL quasar catalog from DESI Early Data Release

Redshift corrections reduce velocity offsets by 243 km/s on average

Identification of rare BAL subclasses in DESI spectra

Abstract

Broad absorption line (BAL) quasars are characterized by gas clouds that absorb flux at the wavelength of common quasar spectral features, although blueshifted by velocities that can exceed 0.1c. BAL features are interesting as signatures of significant feedback, yet they can also compromise cosmological studies with quasars by distorting the shape of the most prominent quasar emission lines, impacting redshift accuracy and measurements of the matter density distribution traced by the Lyman-alpha forest. We present a catalog of BAL quasars discovered in the Dark Energy Spectroscopic Instrument (DESI) survey Early Data Release, which were observed as part of DESI Survey Validation, as well as the first two months of the main survey. We describe our method to automatically identify BAL quasars in DESI data, the quantities we measure for each BAL, and investigate the completeness and purity of this method with mock DESI observations. We mask the wavelengths of the BAL features and re-evaluate each BAL quasar redshift, finding new redshifts which are 243 km/s smaller on average for the BAL quasar sample. These new, more accurate redshifts are important to obtain the best measurements of quasar clustering, especially at small scales. Finally, we present some spectra of rarer classes of BALs that illustrate the potential of DESI data to identify such populations for further study.