Northern Sky Variability Survey: Public Data Release
By P. Woźniak, W. T. Vestrand, C. Akerlof, R. Balsano, J. Bloch, D. Casperson, S. Fletcher, G. Gisler, R. Kehoe, K. Kinemuchi and 12 more. 2004
448 citations recorded by the source corpus.
The Northern Sky Variability Survey (NSVS) is a temporal record of the sky over the optical magnitude range from 8 to 15.5. It was conducted in the course of the first-generation Robotic Optical Transient Search Experiment (ROTSE-I) using a robotic system of four comounted unfiltered telephoto lenses equipped with CCD cameras. The survey was conducted from Los Alamos, New Mexico, and primarily covers the entire northern sky. Some data in southern fields between declinations 0° and -38° are also available, although with fewer epochs and noticeably lesser quality. The NSVS contains light curves for approximately 14 million objects. With a 1 yr baseline and typically 100–500 measurements per object, the NSVS is the most extensive record of stellar variability across the bright sky available today. In a median field, bright unsaturated stars attain a point-to-point photometric scatter of ∼0.02 mag and position errors within 2″. At Galactic latitudes |b| < 20°, the data quality is limited by severe blending due to the ∼14″ pixel size. We present basic characteristics of the data set and describe data collection, analysis, and distribution. All NSVS photometric measurements are available for on-line public access from the Sky Database for Objects in Time-Domain (SkyDOT) at Los Alamos National Laboratory. Copies of the full survey photometry may also be requested on tape.
Subfields: Astronomy and Astrophysics, Ecology
View Paper: https://www.semanticscholar.org/paper/ed76ca3bca729a5492ad180a4e21b8c1c277f447
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In Astronomy and Astrophysics
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In Ecology
Citations in the corpus
- The All-Sky Automated Survey for Supernovae (ASAS-SN) Light Curve Server v1.0 (2017, background): “The widest area examples are the original All-Sky Automated Survey (ASAS, Pojmanski 2002), the Northern Sky Variability Survey (NSVS, Woźniak et al. 2004), the Catalina Real-Time Survey (CRTS, Drake et al. 2009) and the Palomar Transient Factory (PTF, Law et al. 2009).”
- Exploring the Variable Sky with the Sloan Digital Sky Survey (2007, methodology): “The Northern Sky Variability Survey (Woźniak et al. 2004) is based on ROTSE-I data.”
- QUANTIFYING QUASAR VARIABILITY AS PART OF A GENERAL APPROACH TO CLASSIFYING CONTINUOUSLY VARYING SOURCES (2009, unknown): “Examples of past and current variability surveys are the Galactic microlensing surveys (e.g., OGLE, Udalski et al. 1997; MOA, Sumi et al. 2003; MACHO, Alcock et al. 2000; EROS, Beaulieu et al. 1995; SuperMACHO, Becker et al. 2005), searches for both local (LOSS; Filippenko et al. 2001) and cosmologi”
- TOWARD COMPLETE STATISTICS OF MASSIVE BINARY STARS: PENULTIMATE RESULTS FROM THE CYGNUS OB2 RADIAL VELOCITY SURVEY (2014, unknown): “— (0)This work; (1) Paper VI; (2) Paper II; (3) Paper III;(4) Paper IV;(5) Wozniak et al. (2004); (6) Pigulski & Kolaczkowski (1998); (7) Rios & DeGioia-Eastwood (2004); (8) Kiminki & Kobulnicky (2012); (9) Wilson (1948); (10) Wilson & Abt (1951); (11) Miczaika (1953); (12) Walborn (1973); (13)…”
- The Milky Way Tomography with SDSS. I. Stellar Number Density Distribution (2005, background): “More recently, the Northern Sky Variability Survey (NSVS) RR Lyrae survey (Woźniak et al. 2004) detected an overdensity in the same direction and at distances extending to the sample faint limit, corresponding to about 6 kpc (P. Wozniak 2005, private communication).”
- THE CATALINA SURVEYS PERIODIC VARIABLE STAR CATALOG (2014, methodology): “The NSVS survey has also covered a large fraction of the sky to similar depth (8 < V < 15.5, Wozniak et al. 2004) using the Robotic Optical Transient Search Experiment (ROTSE-I, Akerlof et al. 2000).”
- The ASAS-SN catalogue of variable stars I: The Serendipitous Survey (2018, background): “…surveys such as ASAS (Pojmanski 2002), the Optical Gravitational Lensing Experiment (OGLE; Udalski 2003), the Northern Sky Variability Survey (NSVS; Woźniak et al. 2004), MACHO (Alcock et al. 1997), EROS (Derue et al. 2002), Pan-STARRS1 (Chambers et al. 2016), the Palomar Transient Factory (PTF;…”