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20092026
most citedGaia Data Release 2. Summary of the contents and survey properties

8.6k citations · 11.2k across the 35 of their papers we have counts for

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11 papers · 1 filter

astro-ph.IM2022★ 54 cited

Gaia Data Release 3: Gaia scan-angle dependent signals and spurious periods

B. Holl, C. Fabricius, J. Portell +23

Context: Gaia DR3 time series data may contain spurious signals related to the time-dependent scan angle. Aims: We aim to explain the origin of scan-angle dependent signals and how…

astro-ph.IM2022★ 56 cited

Gaia Data Release 3: Cross-match of Gaia sources with variable objects from the literature

P. Gavras, L. Rimoldini, K. Nienartowicz +22

Context. In the current ever increasing data volumes of astronomical surveys, automated methods are essential. Objects of known classes from the literature are necessary for traini…

astro-ph.IM2022★ 30 cited

Gaia Data Release 3: The Gaia Andromeda Photometric Survey

D. W. Evans, L. Eyer, G. Busso +14

Context. As part of Gaia Data Release 3 (Gaia DR3), epoch photometry has been released for 1.2 million sources centred on M31. This is a taster for Gaia Data Release 4 where all th…

astro-ph.IM2018★ 20 cited

Gaia Data Release 2. Short-timescale variability processing and analysis

M. Roelens, L. Eyer, N. Mowlavi +13

The Gaia DR2 sample of short-timescale variable candidates results from the investigation of the first 22 months of Gaia photometry for a subsample of sources at the Gaia faint end…

astro-ph.IM2018★ 211 cited

Gaia Data Release 2: Properties and validation of the radial velocities

D. Katz, P. Sartoretti, M. Cropper +51

For Gaia DR2 (GDR2), 280 million spectra, collected by the RVS instrument on-board Gaia, were processed and median radial velocities were derived for 9.8 million sources brighter t…

astro-ph.IM2018★ 756 cited

Gaia Data Release 2: Photometric content and validation

D. W. Evans, M. Riello, F. De Angeli +9

Aims. We describe the photometric content of the second data release of the Gaia project (Gaia DR2) and its validation along with the quality of the data. Methods. The validation w…

astro-ph.IM2017★ 18 cited

Short timescale variables in the Gaia era: detection and characterization by structure function analysis

Maroussia Roelens, Laurent Eyer, Nami Mowlavi +7

We investigate the capabilities of the ESA Gaia mission for detecting and character- izing short timescale variability, from tens of seconds to a dozen hours. We assess the efficie…

astro-ph.IM2017★ 16 cited

Gaia Data Release 1: The variability processing & analysis and its application to the south ecliptic pole region

L. Eyer, N. Mowlavi, D. W. Evans +70

The ESA Gaia mission provides a unique time-domain survey for more than one billion sources brighter than G=20.7 mag. Gaia offers the unprecedented opportunity to study variability…

astro-ph.IM2016

Short timescale variables in stellar clusters: From Gaia to ground-based telescopes

Maroussia Roelens, Sergi Blanco-Cuaresma, Laurent Eyer +6

Combined studies of variable stars and stellar clusters open great horizons, and they allow us to improve our understanding of stellar cluster formation and stellar evolution. In t…

astro-ph.IM2015★ 27 cited

A comparative study of four significance measures for periodicity detection in astronomical surveys

Maria Süveges, Leanne P. Guy, Laurent Eyer +8

We study the problem of periodicity detection in massive data sets of photometric or radial velocity time series, as presented by ESA's Gaia mission. Periodicity detection hinges o…

astro-ph.IM2015

The variability processing and analysis of the Gaia mission

Laurent Eyer, Dafydd Wyn Evans, Nami Mowlavi +10

We present the variability processing and analysis that is foreseen for the Gaia mission within Coordination Unit 7 (CU7) of the Gaia Data Processing and Analysis Consortium (DPAC)…