Artikel,

Automated Measurement of Quasar Redshift with a Gaussian Process

, , , , , und .
(2020)cite arxiv:2006.07343Comment: 13 pages, 11 figures, to be submitted to MNRAS.

Zusammenfassung

We develop an automated technique to measure quasar redshifts in the Baryon Oscillation Spectroscopic Survey (BOSS) of the Sloan Digital Sky Survey (SDSS). Our technique is an extension of an earlier Gaussian process method for detecting damped Lyman-alpha absorbers (DLAs) in quasar spectra with known redshifts. We show that we are competitive to existing quasar redshift estimators. Importantly our method produces a probabilistic density function for the quasar redshift, allowing quasar redshift uncertainty to be propagated to downstream users. We apply this method to detecting DLAs, accounting in a Bayesian fashion for redshift uncertainty. Compared to our earlier method with a known quasar redshift, we have only a moderate decrease in our ability to detect DLAs, predominantly in the noisiest spectra. Our code is publicly available.

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