2.4k citations · 12.2k across the 87 of their papers we have counts for
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Astronomical image time series classification using CONVolutional attENTION (ConvEntion)
Anass Bairouk, Marc Chaumont, Dominique Fouchez +3
Aims. The treatment of astronomical image time series has won increasing attention in recent years. Indeed, numerous surveys following up on transient objects are in progress or un…
Uniform Recalibration of Common Spectrophotometry Standard Stars onto the CALSPEC System using the SuperNova Integral Field Spectrograph
David Rubin, G. Aldering, P. Antilogus +35
We calibrate spectrophotometric optical spectra of 32 stars commonly used as standard stars, referenced to 14 stars already on the HST-based CALSPEC flux system. Observations of CA…
Rubin-Euclid Derived Data Products: Initial Recommendations
Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117
This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…
Fink, a new generation of broker for the LSST community
Anais Möller, Julien Peloton, Emille E. O. Ishida +33
Fink is a broker designed to enable science with large time-domain alert streams such as the one from the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST).…
PELICAN: deeP architecturE for the LIght Curve ANalysis
Johanna Pasquet, Jérôme Pasquet, Marc Chaumont +1
We developed a deeP architecturE for the LIght Curve ANalysis (PELICAN) for the characterization and the classification of light curves. It takes light curves as input, without any…
Photometric redshifts from SDSS images using a Convolutional Neural Network
Johanna Pasquet, Emmanuel Bertin, Marie Treyer +2
We developed a Deep Convolutional Neural Network (CNN), used as a classifier, to estimate photometric redshifts and associated probability distribution functions (PDF) for galaxies…