4 papers
Distance estimate to NGC 6951 from supernova siblings Type IIP SN 2020dpw and Type Ib SN 2021sjt
Réka Könyves-Tóth, Zsófia Bodola, Tamás Szalai +24
{Supernova (SN) siblings are powerful tools used to calibrate and improve distance measurement methods, and to make the systematic uncertainty to distances to their host galaxies c…
In Search of the Unknown Unknowns: A Multi-Metric Distance Ensemble for Out of Distribution Anomaly Detection in Astronomical Surveys
Siddharth Chaini, Federica B. Bianco, Ashish Mahabal
Distance-based methods involve the computation of distance values between features and are a well-established paradigm in machine learning. In anomaly detection, anomalies are iden…
Light Curve Classification with DistClassiPy: a new distance-based classifier
Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi +1
The rise of synoptic sky surveys has ushered in an era of big data in time-domain astronomy, making data science and machine learning essential tools for studying celestial objects…
Latest Developments and Opportunities in Sky Survey
Anthony Brown, Federica Bianco, Varun Bhalerao +5
Policy Brief on "Latest Developments and Opportunities in Sky Survey", distilled from the corresponding panel that was part of the discussions during S20 Policy Webinar on Astroinf…