2019
DOI: 10.1093/mnras/stz1120
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The effect of dust bias on the census of neutral gas and metals in the high-redshift Universe due to SDSS-II quasar colour selection

Abstract: We present a systematic study of the impact of a dust bias on samples of damped Lyman-α absorbers (DLAs). This bias arises as an effect of the magnitude and colour criteria utilized in the Sloan Digital Sky Survey (SDSS) quasar target selection up until data release 7 (DR7). The bias has previously been quantified assuming only a contribution from the dust obscuration. In this work, we apply the full set of magnitude and colour criteria used up until SDSS DR7 in order to quantify the full impact of dust biasin… Show more

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Cited by 34 publications
(25 citation statements)
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“…As discussed by these authors (and previously by Ledoux et al 2009), the extinction by dust in so-called dark bursts (with A V > 0.5) is high enough for the optical afterglow to become too faint for spectroscopic follow-up, implying a bias against dimmed systems in the spectral follow-up campaigns of GRB afterglows. In principle, a similar bias could also apply to quasars when they are identified based on their colours in a flux-limited sample, as demonstrated by Krogager et al (2019) for the SDSS-II. However, the following SDSS stages are likely less inclined to dust bias because of improved selection methods and deeper observations.…”
Section: Dust Reddeningmentioning
confidence: 89%
“…As discussed by these authors (and previously by Ledoux et al 2009), the extinction by dust in so-called dark bursts (with A V > 0.5) is high enough for the optical afterglow to become too faint for spectroscopic follow-up, implying a bias against dimmed systems in the spectral follow-up campaigns of GRB afterglows. In principle, a similar bias could also apply to quasars when they are identified based on their colours in a flux-limited sample, as demonstrated by Krogager et al (2019) for the SDSS-II. However, the following SDSS stages are likely less inclined to dust bias because of improved selection methods and deeper observations.…”
Section: Dust Reddeningmentioning
confidence: 89%
“…The depletion of gas on to dust grains plagues metallicity measurements in QSO absorber analyses, as a component of the total metal content is missed. Such an effect is suspected to have an impact on the total metallicity evolution of subDLAs and DLAs (De Cia et al 2018;Krogager et al 2019;Poudel et al 2020). Corrections for dust depletion can be computed, but require the detection of multiple chemical elements in the absorber to either model the physical and chemical properties (Jenkins 2009;De Cia et al 2016) or measure abundance ratios of elements with similar nucleosynthetic origins (Berg et al 2015a).…”
Section: Effects Of Dust Depletionmentioning
confidence: 99%
“…3.2), we calculated the optical extinction (A V ) following Zafar & Møller (2019). We included a mock optical selection similar to large spectroscopic surveys by probabilistically rejecting sightlines with large A V (Krogager et al 2019). For details regarding the implementation, we refer readers to K20.…”
Section: Modeling Neutral Gas Absorptionmentioning
confidence: 99%