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The Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory will capture light curves (LCs) for 10 billion sources and produce millions of transient candidates per night, necessitating scalable, accurate, and efficient…

Instrumentation and Methods for Astrophysics · Physics 2025-11-04 Zora Tung

The development of the observing strategy for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) requires a broad optimization across science cases inside and outside of time-domain astronomy. We introduce a novel metric…

Instrumentation and Methods for Astrophysics · Physics 2026-04-16 Yu-Qian , Ouyang , Alex I. Malz , Ming Lian , Shar Daniels , Federica Bianco , Mathilda Nilsson

Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. However, upcoming deep photometric surveys, including the…

Next-generation surveys like the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate orders of magnitude more discoveries of transients and variable stars than previous surveys. To prepare for this data…

The advent of next-generation survey instruments, such as the Vera C. Rubin Observatory and its Legacy Survey of Space and Time (LSST), is opening a window for new research in time-domain astronomy. The Extended LSST Astronomical…

Future surveys such as the Legacy Survey of Space and Time (LSST) of the Vera C. Rubin Observatory will observe an order of magnitude more astrophysical transient events than any previous survey before. With this deluge of photometric data,…

Instrumentation and Methods for Astrophysics · Physics 2023-10-06 Tarek Allam , Jason D. McEwen

The Vera C. Rubin Observatory will increase the number of observed supernovae (SNe) by an order of magnitude; however, it is impossible to spectroscopically confirm the class for all the SNe discovered. Thus, photometric classification is…

Instrumentation and Methods for Astrophysics · Physics 2022-01-21 Catarina S. Alves , Hiranya V. Peiris , Michelle Lochner , Jason D. McEwen , Tarek Allam , Rahul Biswas

Modern time-domain astronomy will benefit from the vast data collected by survey telescopes. The 2.5 m Wide Field Survey Telescope (WFST), with its powerful capabilities, is promising to make significant contributions in the era of large…

Instrumentation and Methods for Astrophysics · Physics 2025-06-03 Yongling Tang , Lulu Fan , Zhen Wan , Yating Liu , Yan Lu

Stars exhibit a bewildering variety of rapidly variable behaviors ranging from explosive magnetic flares to stochastically changing accretion to periodic pulsations or rotation. The principal Rubin Observatory Legacy Survey of Space and…

Solar and Stellar Astrophysics · Physics 2023-08-02 Eric D. Feigelson , Federica B. Bianco , Rosaria Bonito

Perhaps the most exciting promise of the Rubin Observatory Legacy Survey of Space and Time (LSST) is its capability to discover phenomena never before seen or predicted from theory: true astrophysical novelties, but the ability of LSST to…

Instrumentation and Methods for Astrophysics · Physics 2022-01-05 Xiaolong Li , Fabio Ragosta , William I. Clarkson , Federica B. Bianco

The recent increase in volume and complexity of available astronomical data has led to a wide use of supervised machine learning techniques. Active learning strategies have been proposed as an alternative to optimize the distribution of…

The Vera C. Rubin Observatory is expected to start the Legacy Survey of Space and Time (LSST) in early to mid-2025. This multi-band wide-field synoptic survey will transform our view of the solar system, with the discovery and monitoring of…

This study presents a bidirectional Long Short-Term Memory (LSTM) neural network for classifying transient astronomical object light curves from the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) dataset. The…

Machine Learning · Computer Science 2025-11-25 Guilherme Grancho D. Fernandes , Marco A. Barroca , Mateus dos Santos , Rafael S. Oliveira

With an ever-increasing amount of astronomical data being collected, manual classification has become obsolete; and machine learning is the only way forward. Keeping this in mind, the Large Synoptic Survey Telescope (LSST) Team hosted the…

Instrumentation and Methods for Astrophysics · Physics 2020-07-02 Siddharth Chaini , Soumya Sanjay Kumar

The up-coming Vera Rubin Observatory's Legacy Survey of Space and Time (LSST) opens a new opportunity to rapidly survey the southern Sky at optical wavelenghts (\ie ugrizy bands). In this study, we aim to test the possibility of using LSST…

High Energy Astrophysical Phenomena · Physics 2024-03-22 Fabio Ragosta , Tomas Ahumada , Silvia Piranomonte , Igor Andreoni , Andrea Melandri , Alberto Colombo , Michael W. Coughlin

The Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC) is an open data challenge to classify simulated astronomical time-series data in preparation for observations from the Large Synoptic Survey Telescope (LSST),…

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will commence full-scale operations in 2026, yielding an unprecedented volume of astronomical images. Constructing an astronomical catalog, a table of imaged stars,…

Instrumentation and Methods for Astrophysics · Physics 2025-11-07 Yicun Duan , Xinyue Li , Camille Avestruz , Jeffrey Regier , LSST Dark Energy Science Collaboration

The Vera C. Rubin Observatory's 10-Year Legacy Survey of Space and Time (LSST) is expected to produce a hundredfold increase in the number of transients we observe. However, there are insufficient spectroscopic resources to follow up on all…

The Vera C. Rubin Legacy Survey of Space and Time holds the potential to revolutionize time domain astrophysics, reaching completely unexplored areas of the Universe and mapping variability time scales from minutes to a decade. To prepare…

Instrumentation and Methods for Astrophysics · Physics 2022-08-10 Kelly M. Hambleton , Federica B. Bianco , Rachel Street , Keaton Bell , David Buckley , Melissa Graham , Nina Hernitschek , Michael B. Lund , Elena Mason , Joshua Pepper , Andrej Prsa , Markus Rabus , Claudia M. Raiteri , Robert Szabo , Paula Szkody , Igor Andreoni , Simone Antoniucci , Barbara Balmaverde , Eric Bellm , Rosaria Bonito , Giuseppe Bono , Maria Teresa Botticella , Enzo Brocato , Katja Bucar Bricman , Enrico Cappellaro , Maria Isabel Carnerero , Ryan Chornock , Riley Clarke , Phil Cowperthwaite , Antonino Cucchiara , Filippo D'Ammando , Kristen C. Dage , Massimo Dall'Ora , James R. A. Davenport , Domitilla de Martino , Giulia de Somma , Marcella Di Criscienzo , Rosanne Di Stefano , Maria Drout , Michele Fabrizio , Giuliana Fiorentino , Poshak Gandhi , Alessia Garofalo , Teresa Giannini , Andreja Gomboc , Laura Greggio , Patrick Hartigan , Markus Hundertmark , Elizabeth Johnson , Michael Johnson , Tomislav Jurkic , Somayeh Khakpash , Silvio Leccia , Xiaolong Li , Davide Magurno , Konstantin Malanchev , Marcella Marconi , Raffaella Margutti , Silvia Marinoni , Nicolas Mauron , Roberto Molinaro , Anais Moller , Marc Moniez , Tatiana Muraveva , Ilaria Musella , Chow-Choong Ngeow , Andrea Pastorello , Vincenzo Petrecca , Silvia Piranomonte , Fabio Ragosta , Andrea Reguitti , Chiara Righi , Vincenzo Ripepi , Liliana Rivera Sandoval , Keivan G. Stassun , Michael Stroh , Giacomo Terreran , Virginia Trimble , Yiannis Tsapras , Sjoert van Velzen , Laura Venuti , Jorick S. Vink
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