activity
20162026
most citedGaia Data Release 3. Summary of the variability processing and analysis

143 citations · 897 across the 14 of their papers we have counts for

collaborators

17 papers

astro-ph.SR2026

Gaia method paper: an algorithm to detect flare events in Gaia time-series

E. Distefano, A. C. Lanzafame, A. F. Lanza +14

The third Gaia data release (GDR3) includes the gdr3_rotmod catalogue of 474026 stars with variability that is attributed to magnetic activity analogous to that observed in the Sun…

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.SR2022★ 114 cited

Gaia Data Release 3. The first Gaia catalogue of eclipsing binary candidates

N. Mowlavi, B. Holl, I. Lecœur-Taïbi +11

We present the first Gaia catalogue of eclipsing binary candidates released in Gaia DR3, describe its content, provide tips for its usage, estimate its quality, and show illustrati…

astro-ph.GA2022★ 113 cited

Gaia Data Release 3: All-sky classification of 12.4 million variable sources into 25 classes

Lorenzo Rimoldini, Berry Holl, Panagiotis Gavras +31

Gaia DR3 contains 1.8 billion sources with G-band photometry, 1.5 billion of which with BP and RP photometry, complemented by positions on the sky, parallax, and proper motion. The…

astro-ph.HE2022★ 25 cited

Gaia Data Release 3: The first Gaia catalogue of variable AGN

Maria I. Carnerero, Claudia M. Raiteri, Lorenzo Rimoldini +15

One of the novelties of the Gaia-DR3 with respect to the previous data releases is the publication of the multiband light curves of about 1 million AGN. The goal of this work was t…

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…