Astronomy, being one of the oldest observational sciences, has collected a lot of data over
the ages. In recent times, it is experiencing a huge data surge due to advancements in …

Abstract We introduce the Automatic Learning for the Rapid Classification of Events
(ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self …

We present the first version of the Automatic Learning for the Rapid Classification of Events
(ALeRCE) broker light curve classifier. ALeRCE is currently processing the Zwicky Transient …

Abstract Type II supernovae (SNe II) originate from the explosion of hydrogen-rich
supergiant massive stars. Their first electromagnetic signature is the shock breakout (SBO) …

ABSTRACT 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 …

It is difficult to establish the properties of massive stars that explode as supernovae,. The
electromagnetic emission during the first minutes to hours after the emergence of the shock …

Abstract We introduce Deep-HiTS, a rotation-invariant convolutional neural network (CNN)
model for classifying images of transient candidates into artifacts or real sources for the High …

In order to constrain the evolutionary history of the Milky Way, we hunt for faint RR Lyrae
stars (RRLs) using Dark Energy Camera data from the High cadence Transient Survey and …

The violent stellar explosions known as supernovae have received especially strong
attention in both the research community and the general public recently. With the advent of …

Early-time observations of Type II supernovae (SNe) 2013cu and 2013fs have revealed an
interaction of ejecta with material near the star surface. Unlike Type IIn SN 2010jl, which …