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Machine learning has become essential for automated classification of astronomical transients, but current approaches face significant limitations: classifiers trained on simulations struggle with real data, models developed for one survey…

Instrumentation and Methods for Astrophysics · Physics 2025-07-10 Rithwik Gupta , Daniel Muthukrishna , Nabeel Rehemtulla , Ved Shah

Modern astronomical surveys such as the Large Synoptic Sky Survey (LSST) promise an unprecedented wealth of discoveries, delivered in the form of ~10 million alerts of time-variable events per night. Astronomers are faced with the daunting…

Instrumentation and Methods for Astrophysics · Physics 2018-06-26 R. A. Street , M. Bowman , E. S. Saunders , T. Boroson

The Large Synoptic Survey Telescope (LSST) is conceived as an 8.4-m telescope with CCD or CMOS focal plane covering most of a field 0.6 m in diameter, the latter exceeding the size of the largest photographic plates ever used in astronomy.…

Astrophysics · Physics 2015-06-10 Alistair R. Walker

Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications. This is demonstrated by the recent huge increase in the number of publications making use…

Instrumentation and Methods for Astrophysics · Physics 2018-07-17 Massimo Brescia , Stefano Cavuoti , Valeria Amaro , Giuseppe Riccio , Giuseppe Angora , Civita Vellucci , Giuseppe Longo

Photometric calibration is currently the dominant source of systematic uncertainty in exploiting type Ia supernovae to determine the nature of the dark energy. We review our ongoing program to address this calibration challenge by…

Instrumentation and Methods for Astrophysics · Physics 2012-06-29 Christopher W. Stubbs , John L. Tonry

Tidal Disruption Events (TDEs) are astrophysical phenomena arising when stars are disrupted by supermassive black holes. The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), with its unprecedented depth and cadence, will…

Instrumentation and Methods for Astrophysics · Physics 2025-11-19 Kunal Bhardwaj , Asen Christov , Sergey Karpov

Strong gravitational lensing enables a wide range of science: probing cosmography; testing dark matter models; understanding galaxy evolution; and magnifying the faint, small and distant Universe. However to date exploiting strong lensing…

Although photometric redshifts (photo-z's) are crucial ingredients for current and upcoming large-scale surveys, the high-quality spectroscopic redshifts currently available to train, validate, and test them are substantially…

We present the results from the first public blind PSF reconstruction challenge, the GRavitational lEnsing Accuracy Testing 2010 (GREAT10) Star Challenge. Reconstruction of a spatially varying PSF, sparsely sampled by stars, at non-star…

Instrumentation and Methods for Astrophysics · Physics 2015-06-11 T. D. Kitching , B. Rowe , M. Gill , C. Heymans , R. Massey , D. Witherick , F. Courbin , K. Georgatzis , M. Gentile , D. Gruen , M. Kilbinger , G. L. Li , A. P. Mariglis , G. Meylan , A. Storkey , B. Xin

An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective follow-up using scarce resources. This presents some unusual challenges: the data are…

Instrumentation and Methods for Astrophysics · Physics 2016-11-17 S. G. Djorgovski , A. A. Mahabal , C. Donalek , M. J. Graham , A. J. Drake , B. Moghaddam , M. Turmon

How to analyse Terabytes of photometric data, and extract knowledge on variable stars? How to detect variable phenomena? How to combine different photometric bands? Which algorithm to search for periods? How to characterize and classify the…

Astrophysics · Physics 2007-05-23 Laurent Eyer

The LSST survey was designed to deliver transformative results for four primary objectives: constraining dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way.…

Big data has become the norm in astronomy, making it an ideal domain for computer science research. Astronomers typically classify galaxies based on their morphologies, a practice that dates back to Hubble (1936). With small datasets,…

Instrumentation and Methods for Astrophysics · Physics 2023-05-02 Yevonnael Andrew

Astrophysical and cosmological observations currently provide the only robust, empirical measurements of dark matter. Future observations with Large Synoptic Survey Telescope (LSST) will provide necessary guidance for the experimental dark…

Cosmology and Nongalactic Astrophysics · Physics 2019-04-25 Alex Drlica-Wagner , Yao-Yuan Mao , Susmita Adhikari , Robert Armstrong , Arka Banerjee , Nilanjan Banik , Keith Bechtol , Simeon Bird , Kimberly K. Boddy , Ana Bonaca , Jo Bovy , Matthew R. Buckley , Esra Bulbul , Chihway Chang , George Chapline , Johann Cohen-Tanugi , Alessandro Cuoco , Francis-Yan Cyr-Racine , William A. Dawson , Ana Díaz Rivero , Cora Dvorkin , Denis Erkal , Christopher D. Fassnacht , Juan García-Bellido , Maurizio Giannotti , Vera Gluscevic , Nathan Golovich , David Hendel , Yashar D. Hezaveh , Shunsaku Horiuchi , M. James Jee , Manoj Kaplinghat , Charles R. Keeton , Sergey E. Koposov , Casey Y. Lam , Ting S. Li , Jessica R. Lu , Rachel Mandelbaum , Samuel D. McDermott , Mitch McNanna , Michael Medford , Manuel Meyer , Moniez Marc , Simona Murgia , Ethan O. Nadler , Lina Necib , Eric Nuss , Andrew B. Pace , Annika H. G. Peter , Daniel A. Polin , Chanda Prescod-Weinstein , Justin I. Read , Rogerio Rosenfeld , Nora Shipp , Joshua D. Simon , Tracy R. Slatyer , Oscar Straniero , Louis E. Strigari , Erik Tollerud , J. Anthony Tyson , Mei-Yu Wang , Risa H. Wechsler , David Wittman , Hai-Bo Yu , Gabrijela Zaharijas , Yacine Ali-Haïmoud , James Annis , Simon Birrer , Rahul Biswas , Jonathan Blazek , Alyson M. Brooks , Elizabeth Buckley-Geer , Regina Caputo , Eric Charles , Seth Digel , Scott Dodelson , Brenna Flaugher , Joshua Frieman , Eric Gawiser , Andrew P. Hearin , Renee Hložek , Bhuvnesh Jain , Tesla E. Jeltema , Savvas M. Koushiappas , Mariangela Lisanti , Marilena LoVerde , Siddharth Mishra-Sharma , Jeffrey A. Newman , Brian Nord , Erfan Nourbakhsh , Steven Ritz , Brant E. Robertson , Miguel A. Sánchez-Conde , Anže Slosar , Tim M. P. Tait , Aprajita Verma , Ricardo Vilalta , Christopher W. Walter , Brian Yanny , Andrew R. Zentner

We have developed an end-to-end photometric data processing pipeline to compare current photometric algorithms commonly used on ground-based imaging data. This testbed is exceedingly adaptable, and enables us to perform many research and…

Photometric redshifts are essential in studies of both galaxy evolution and cosmology, as they enable analyses of objects too numerous or faint for spectroscopy. The Rubin Observatory, Euclid, and Roman Space Telescope will soon provide a…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-28 Jeffrey A. Newman , Daniel Gruen

Photometric surveys with the Hubble Space Telescope (HST) allow us to study stellar populations with high resolution and deep coverage, with estimates of the physical parameters of the constituent stars being typically obtained by comparing…

In the next decade, the LSST will become a major facility for the astronomical community. However accurately determining the redshifts of the observed galaxies without using spectroscopy is a major challenge. Reconstruction of the redshifts…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-12 Alexia Gorecki , Alexandra Abate , Réza Ansari , Aurélien Barrau , Sylvain Baumont , Marc Moniez , Jean-Stéphane Ricol

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