2018
DOI: 10.1051/0004-6361/201833514
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Gaia Data Release 2

Abstract: Context. The second data release of the Gaia mission (DR2) includes an advance catalogue of variable stars. The classifications of these stars are based on sparse photometry from the first 22 months of the mission. Aims. We set out to investigate the purity and completeness of the all-sky Gaia classification results with the help of the continuous light curves of the observed targets from the Kepler and K2 missions, focusing specifically on RR Lyrae and Cepheid pulsators, outside the Galactic bulge region. Met… Show more

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Cited by 26 publications
(23 citation statements)
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“…Since the largest available homogeneous variable star candidate catalogue includes mainly periodic variables, we compared our catalogue with the GAIA-DR2 RR Lyrae variable candidates list (Gaia Collaboration 2018). Molnár et al (2018) estimated that this catalogue is 70 per cent-78 per cent complete, and has purity of 92 per cent to 98 per cent. The GAIA-DR2 RR Lyr catalogue contains about 56 000 RR Lyr candidates brighter than G mag of 20, and above Declination of −30 deg.…”
Section: Comparison With Other Cataloguesmentioning
confidence: 99%
“…Since the largest available homogeneous variable star candidate catalogue includes mainly periodic variables, we compared our catalogue with the GAIA-DR2 RR Lyrae variable candidates list (Gaia Collaboration 2018). Molnár et al (2018) estimated that this catalogue is 70 per cent-78 per cent complete, and has purity of 92 per cent to 98 per cent. The GAIA-DR2 RR Lyr catalogue contains about 56 000 RR Lyr candidates brighter than G mag of 20, and above Declination of −30 deg.…”
Section: Comparison With Other Cataloguesmentioning
confidence: 99%
“…15, generally confirming the expected trend that higher score thresholds increase the completeness to contamination ratio more efficiently than lower score limits. In addition to the SOS module results described in Clementini et al (2019) as part of the Gaia variability pipeline, an independent validation of the RR Lyrae classifications was performed with stars observed in selected K2 fields of the Kepler space telescope (Molnár et al 2018).…”
Section: Rr Lyrae Starsmentioning
confidence: 99%
“…It generally confirms the expected trend that higher score thresholds increase the completeness-to-contamination ratio more efficiently than lower score limits. In addition to the SOS module results described in Clementini et al (2019) as part of the Gaia variability pipeline, an independent validation of a small sample of Cepheid classifications was performed with stars observed in selected K2 fields of the Kepler space telescope (Molnár et al 2018). The set of Gaia DR2 Cepheids in the SOS results has recently been reclassified (Ripepi et al 2019), providing a sample with negligible contamination and more accurate Cepheid subclassifications.…”
Section: Cepheidsmentioning
confidence: 99%
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“…Completeness rates of the RRLs identified in Gaia DR2 were estimated also in other works that validated such candidates. Molnár et al (2018) compared the RRL candidates in the Gaia DR2 classification (VC) with the ones found in a selection of fields of the Kepler and K2 missions (Borucki et al 2010;Howell et al 2014). These fields covered about 110 deg 2 each and were distributed along the Ecliptic (except for the original Kepler field); they spanned Galactic latitudes |b| < 70 • but excluded the region of the Galactic bulge (as already well resolved in Soszyński et al 2014).…”
Section: Comparison With the Literaturementioning
confidence: 99%