The Time-Domain Spectroscopic Survey: Understanding the Optically Variable Sky with SEQUELS in SDSS-III
John J. Ruan, Scott F. Anderson, Paul J. Green, Eric Morganson,, Michael Eracleous, Adam D. Myers, Carles Badenes, Matthew A. Bershady,, William N. Brandt, Kenneth C. Chambers, James R. A. Davenport, Kyle S., Dawson, Heather Flewelling, Timothy M. Heckman, Jedidah C. Isler, Nick

TL;DR
The paper presents early results from the SDSS-IV Time-Domain Spectroscopic Survey, demonstrating how variability-based selection enhances the identification and characterization of quasars, stars, and peculiar objects over traditional methods.
Contribution
It introduces the use of variability-based selection in spectroscopic surveys, revealing its advantages in identifying diverse astrophysical objects and reducing selection biases.
Findings
Variability selection finds redder quasars missed by color methods.
Quasar redshift distribution is more uniform with variability selection.
Higher fractions of blazars and BAL quasars are identified.
Abstract
The Time-Domain Spectroscopic Survey (TDSS) is an SDSS-IV eBOSS subproject primarily aimed at obtaining identification spectra of ~220,000 optically-variable objects systematically selected from SDSS/Pan-STARRS1 multi-epoch imaging. We present a preview of the science enabled by TDSS, based on TDSS spectra taken over ~320 deg^2 of sky as part of the SEQUELS survey in SDSS-III, which is in part a pilot survey for eBOSS in SDSS-IV. Using the 15,746 TDSS-selected single-epoch spectra of photometrically variable objects in SEQUELS, we determine the demographics of our variability-selected sample, and investigate the unique spectral characteristics inherent in samples selected by variability. We show that variability-based selection of quasars complements color-based selection by selecting additional redder quasars, and mitigates redshift biases to produce a smooth quasar redshift…
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