An array of large observational programs using ground-based and space-borne telescopes
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …

Astronomy is experiencing a rapid growth in data size and complexity. This change fosters
the development of data-driven science as a useful companion to the common model-driven …

Learn to understand and implement the latest machine learning innovations to improve your
investment performance Machine learning (ML) is changing virtually every aspect of our …

Merging neutron stars offer an excellent laboratory for simultaneously studying strong-field
gravity and matter in extreme environments. We establish the physical association of an …

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 results of a Palomar Transient Factory (PTF) archival search for blue
transients that lie in the magnitude range between" normal" core-collapse and …

Transient detection and flux measurement via image subtraction stand at the base of time
domain astronomy. Due to the varying seeing conditions, the image subtraction process is …

Type Ia supernovae have been used empirically as 'standard candles' to demonstrate the
acceleration of the expansion of the Universe,, even though fundamental details, such as the …

Abstract We present Real-time Automated Photometric IDentification (RAPID), a novel time
series classification tool capable of automatically identifying transients from within a day of …

Time-domain science has undergone a revolution over the past decade, with tens of
thousands of new supernovae (SNe) discovered each year. However, several observational …