We present results from applying the SNAD anomaly detection pipeline to the third public
data release of the Zwicky Transient Facility (ZTF DR3). The pipeline is composed of three …

In the upcoming decade, large astronomical surveys will discover millions of transients
raising unprecedented data challenges in the process. Only the use of the machine learning …

We investigate the impact of combining Gaia astrometry from space with precise, high
cadence OGLE photometry from the ground. For the archival event OGLE3-ULENS-PAR-02 …

Aims. We present the first piece of evidence that adaptive learning techniques can boost the
discovery of unusual objects within astronomical light curve data sets. Methods. Our method …

In this work, we address the problem of anomaly detection in large astronomical databases
by machine learning methods. The importance of such study is justified by the presence of a …

In this work we address the problem of anomaly detection in large astronomical databases
by machine learning methods. The importance of such study is justified by the existence of a …

The next generation of astronomical surveys will revolutionize our understanding of the
Universe, raising unprecedented data challenges in the process. One of them is the …

Supernovae (SNe) hold vital pieces of the large cosmic puzzle astronomy and cosmology
aim to solve. They are responsible for the chemical enrichment of interstellar medium [1]; the …

The continuous and reiterative scan of the whole sky performed by Gaia ESA's mission
during its (at least) 5 years of mission allows to detect transient events (eg, supernovae …

Supernova stars (SNe) are ones of the most beautiful and interesting objects in the
Universe. They are responsible for chemical enrichment of interstellar medium; density …