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◆ The Astrophysical Journal Letters2025-11-18· Sky

Identification and Photometric Classification of Extragalactic Transients in the Vera C. Rubin Observatory’s Data Preview 1

James Freeburn, Igor Andreoni, Kaylee de Soto, Cristina Andrade, Akash Anumarlapudi, Tyler Barna, Jonathan Carney, Sushant Sharma Chaudhary, M. W. Coughlin, Felipe Fontinele Nunes, Sarah Teague, M. Rigault, V. Ashley Villar, Gloria Fonseca Alvarez, Federica Bianco, A. Boucaud, D. Boutigny, Andrew Bradshaw, Hsin‐Fang Chiang, Phil N. Daly, Felipe Daruich, Guillaume Daubard, H. Drass, L. Le Guillou, L. P. Guy, Patrick Ingraham, M. James Jee, S. M. Kahn, Yijung Kang, Arun Kannawadi, L. S. Kelvin, Didier Laporte, Shuang Liang, Nate B. Lust, Mostafa Lutfi, G Mainetti, A. A. Plazas, F. Menanteau, David Mills, M. Moniez, Erfan Nourbakhsh, Russell Owen, Maria T. Patterson, J. R. Peterson, Wouter van Reeven, Vincent Riot, William Roby, David Sanmartim, Jacques Sebag, Nima Sedaghat, Richard A. Shaw, Alysha Shugart, Krzysztof Suberlak, J. Swinbank, Dan S. Taranu, Charlotte Ward, C. Waters, W. M. Wood‐Vasey

原始摘要(英文原文)· Original abstract
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 Legacy Survey of Space and Time (LSST) Commissioning Camera observing campaign between 2024 November and December with multiband imaging of seven fields, covering roughly 0.4 deg 2 each, providing a first glimpse into the data products that will become available once the LSST begins. In this work, we search three fields for extragalactic transients. We identify eight new likely supernovae (SNe), and three known ones from a sample of 369,644 difference image analysis objects. Photometric classification using Superphot+ assigns subclasses with >95% confidence to only one SN Ia and one SN II in this sample. Our findings are in agreement with SN detection rate predictions of 15 ± 4 SNe from simulations using simsurvey . The SN 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 LSST is well placed to fulfill its discovery potential in time-domain astronomy.
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Identification and Photometric Classification of Extragalactic Transients in the Vera C. Rubin Observatory’s Data Preview 1 — 科研速览 Science Skim