The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Quasar Target Selection
Adam D. Myers (1), Nathalie Palanque-Delabrouille (2), Abhishek, Prakash (3), Isabelle P\^aris (4), Christophe Yeche (2), Kyle S. Dawson (5),, Jo Bovy (6), Dustin Lang (7, 8), David J. Schlegel (9), Jeffrey A. Newman, (3), Patrick Petitjean (10), Jean Paul Kneib (11, 12)

TL;DR
The paper details the quasar target selection methods for eBOSS, aiming to improve BAO measurements and expand the quasar catalog with over 500,000 new quasars for cosmological studies.
Contribution
It introduces a combined optical and variability-based quasar selection approach for eBOSS, achieving high density and uniformity over large sky areas for cosmological analysis.
Findings
eBOSS CORE selection yields ~70 quasars per sq. deg. at 0.9<z<2.2
Variability selection recovers additional high-z quasars
Target density and uniformity meet cosmological requirements
Abstract
As part of the Sloan Digital Sky Survey IV the extended Baryon Oscillation Spectroscopic Survey (eBOSS) will improve measurements of the cosmological distance scale by applying the Baryon Acoustic Oscillation (BAO) method to quasar samples. eBOSS will adopt two approaches to target quasars over 7500 sq. deg. First, a "CORE" quasar sample will combine optical selection in ugriz using a likelihood-based routine called XDQSOz, with a mid-IR-optical color-cut. eBOSS CORE selection (to g < 22 OR r < 22) should return ~ 70 quasars per sq. deg. at redshifts 0.9 < z < 2.2 and ~7 z > 2.1 quasars per sq. deg. Second, a selection based on variability in multi-epoch imaging from the Palomar Transient Factory should recover an additional ~3-4 z > 2.1 quasars per sq. deg. to g < 22.5. A linear model of how imaging systematics affect target density recovers the angular distribution of eBOSS CORE…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
