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A Catalog of Broad Absorption Line Quasars from the Sloan Digital Sky Survey Early Data Release
Journal article   Open access

A Catalog of Broad Absorption Line Quasars from the Sloan Digital Sky Survey Early Data Release

Timothy A Reichard, Gordon T Richards, Donald P Schneider, Patrick B Hall, Alin Tolea, Julian H Krolik, Zlatan Tsvetanov, Daniel E. Vanden Berk, Donald G York, G. R Knapp, …
The Astronomical journal, v 125(4), pp 1711-1728
02 Jan 2003
url
https://doi.org/10.1086/368244View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Physics - Astrophysics of Galaxies Physics - Cosmology and Nongalactic Astrophysics Physics - Earth and Planetary Astrophysics Physics - High Energy Astrophysical Phenomena Physics - Instrumentation and Methods for Astrophysics Physics - Solar and Stellar Astrophysics
Astron.J.125:1711,2003 We present a catalog of 224 broad absorption line quasars (BALQSOs) from the Sloan Digital Sky Survey's Early Data Release Quasar Catalog, including a relatively complete and homogeneous subsample of 131 BALQSOs. Since the identification of BALQSOs is subject to considerable systematic uncertainties, we attempt to create a complete sample of SDSS BALQSOs by combining the results of two automated selection algorithms and a by-eye classification scheme. One of these automated algorithms finds broad absorption line troughs by comparison with a composite quasar spectrum. We present the details of this algorithm and compare this method to that which uses a power-law fit to the continuum. The BALQSOs in our sample are further classified as high-ionization BALQSOs (HiBALs), low-ionization BALQSOs (LoBALs), and BALQSOs with excited iron absorption features (FeLoBALs); composite spectra of each type are presented. We further present a study of the properties of the BALQSOs in terms of the balnicity distribution, which rises with decreasing balnicity. This distribution of balnicities suggests that the fraction of quasars with intrinsic outflows may be significantly underestimated.

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