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20102025
most citedGaia Data Release 3. Summary of the variability processing and analysis

143 citations · 1.3k across the 28 of their papers we have counts for

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astro-ph.IM2025★ 3 cited

Learning novel representations of variable sources from multi-modal data via autoencoders

P. Huijse, J. De Ridder, L. Eyer +18

Gaia Data Release 3 (DR3) published for the first time epoch photometry, BP/RP (XP) low-resolution mean spectra, and supervised classification results for millions of variable sour…

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.IM2018

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

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

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…