8.6k citations · 11.9k across the 60 of their papers we have counts for
8 papers · 1 filter
CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Galactic Archaeology and Scientific Discovery
Lorenzo Monti, Tatiana Muraveva, Brian Sheridan +4
In data-driven scientific discovery, a challenge lies in classifying well-characterized phenomena while identifying novel anomalies. Current semi-supervised clustering algorithms d…
Rubin Observatory LSST Transients and Variable Stars Roadmap
Kelly M. Hambleton, Federica B. Bianco, Rachel Street +79
The Vera C. Rubin Legacy Survey of Space and Time holds the potential to revolutionize time domain astrophysics, reaching completely unexplored areas of the Universe and mapping va…
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…
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…
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…
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…
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…
A hierarchical Bayesian model to infer PL(Z) relations using Gaia parallaxes
H. E. Delgado, L. M. Sarro, G. Clementini +2
Aims. We aim at creating a Bayesian model to infer the coefficients of PL or PLZ relations that propagates uncertainties in the observables in a rigorous and well founded way. Meth…