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Improved selection of extremely red quasars with boxy C iv lines in BOSS

2021/07/31 by Reza Monadi, Simeon Bird · 6 citations
Physics and Astronomy · #Astronomy #Astronomy and Astrophysical Research #Astrophysics #Emission spectrum #Equivalent width #Galaxies: Formation, Evolution, Phenomena #Galaxy #Gamma-ray bursts and supernovae #Physics #Population #Quasar #Redshift #Spectral line #astro-ph.GA

paper · pdf · doi:10.1093/mnras/stac294

published in Monthly Notices of the Royal Astronomical Society 511(3), 3501-3513 (Oxford University Press) · 15 pages, 15 figures, 3 tables

arxiv created 2022/01/29 · openalex publication_date 2022/02/01 · openalex created_date 2022/02/08 · arxiv updated 2022/02/16 · openalex updated_date 2026/08/06

Abstract

ABSTRACT Extremely red quasars (ERQs) are an interesting sample of quasars in the Baryon Oscillation Spectroscopic Sample (BOSS) in the redshift range of 2.0–3.4 and have extreme red colours of i − W3 ≥ 4.6. Core ERQs have strong C iv emission lines with rest equivalent width of ≥100 Å. Many core ERQs also have C iv line profiles with peculiar boxy shapes which distinguish them from normal blue quasars. We show, using a combination of kernel density estimation and local outlier factor analyses on a space of the i − W3 colour, C iv rest equivalent width and line kurtosis, that core ERQs likely represent a separate population rather than a smooth transition between normal blue quasars and the quasars in the tail of the colour-REW distribution. We apply our analyses to find new criteria for selecting ERQs in this 3D parameter space. Our final selection produces 133 quasars, which are three times more likely to have a visually verified C iv broad absorption line feature than the previous core ERQ sample. We further show that our newly selected sample are extreme objects in the intersection of the WISE AGN catalogue with the MILLIQUAS quasar catalogue in the colour–colour space of (W1 − W2, W2 − W3). This paper validates an improved selection method for red quasars which can be applied to future data sets such as the quasar catalogue from the Dark Energy Spectroscopic Instrument.

Citations