Identification and photometric classification of extragalactic transients in the Vera C. Rubin Observatory's Data Preview 1
astro-ph.HE
/ Authors
James Freeburn, Igor Andreoni, Kaylee M. de Soto, Cristina Andrade, Akash Anumarlapudi, Tyler Barna, Jonathan Carney, Sushant Sharma Chaudhary, Michael W. Coughlin, Felipe Fontinele Nunes
and 48 more authors
Sarah Teague, Mickael Rigault, V. Ashley Villar, Gloria Fonseca Alvarez, Federica B. Bianco, Alexandre Boucaud, Dominique Boutigny, Andrew Bradshaw, Hsin-Fang Chiang, Phil N. Daly, Felipe Daruich, Guillaume Daubard, Holger Drass, Laurent Le Guillou, Leanne P. Guy, Patrick Ingraham, M. James Jee, Steven M. Kahn, Yijung Kang, Arun Kannawadi, Lee S. Kelvin, Didier Laporte,
/ Abstract
The Vera C. Rubin Observatory will soon survey the southern sky, delivering a depth and sky coverage that is unprecedented in time domain astronomy. As part of commissioning, Data Preview 1 (DP1) has been released. It comprises a LSSTComCam observing campaign between November and December 2024 with multi-band imaging of seven fields, covering roughly 0.4 square degrees each, providing a first glimpse into the data products that will become available once the Legacy Survey of Space and Time begins. In this work, we search three fields for extragalactic transients. We identify eight new likely supernovae, and three known ones from a sample of 369,644 difference image analysis objects. Photometric classification using Superphot+ assigns sub-classes with >95% confidence to only one SN Ia and one SN II in this sample. Our findings are in agreement with supernova detection rate predictions of $15\pm4$ supernovae from simulations using simsurvey. The supernova detection rate in the data is possibly affected by the lack of suitable templates. Nevertheless, this work demonstrates the quality of the data products delivered in DP1 and indicates that the Rubin Observatory's Legacy Survey of Space and Time (LSST) is well placed to fulfill its discovery potential in time domain astronomy.