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We present the selection algorithm and anticipated results for the TimeDomain Spectroscopic Survey (TDSS). TDSS is an SDSS-IV eBOSS subproject thatwill provide initial identification spectra of approximately 220,000luminosity-variable objects (variable stars and AGN) across 7,500 squaredegrees selected from a combination of SDSS and multi-epoch Pan-STARRS1photometry. TDSS will be the largest spectroscopic survey to explicitly targetvariable objects, avoiding pre-selection on the basis of colors or detailedmodeling of specific variability characteristics. Kernel Density Estimate (KDE)analysis of our target population performed on SDSS Stripe 82 data suggests ourtarget sample will be 95% pure (meaning 95% of objects we select have genuineluminosity variability of a few magnitudes or more). Our final spectroscopicsample will contain roughly 135,000 quasars and 85,000 stellar variables,approximately 4,000 of which will be RR Lyrae stars which may be used as outerMilky Way probes. The variability-selected quasar population has a smootherredshift distribution than a color-selected sample, and variabilitymeasurements similar to those we develop here may be used to make more uniformquasar samples in large surveys. The stellar variable targets are distributedfairly uniformly across color space, indicating that TDSS will obtain spectrafor a wide variety of stellar variables including pulsating variables, starswith significant chromospheric activity, cataclysmic variables and eclipsingbinaries. TDSS will serve as a pathfinder mission to identify and characterizethe multitude of variable objects that will be detected photometrically in evenlarger variability surveys such as LSST.

The Time Domain Spectroscopic Survey: Variable Object Selection and Anticipated Results