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Related papers: Variability-finding in Rubin Data Preview 1 with L…

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The Tsinghua University--Ma Huateng Telescopes for Survey (TMTS) started to monitor the LAMOST plates in 2020, leading to the discovery of numerous short-period eclipsing binaries, peculiar pulsators, flare stars, and other variable…

Navigation in unknown, chaotic environments continues to present a significant challenge for the robotics community. Lighting changes, self-similar textures, motion blur, and moving objects are all considerable stumbling blocks for…

Robotics · Computer Science 2019-08-06 Valentin Peretroukhin , Lee Clement , Matthew Giamou , Jonathan Kelly

The Hilda population occupies the stable 3:2 mean-motion resonance of Jupiter and provides a window into solar system evolution, including collisional processes. The National Science Foundation and Department of Energy Vera C. Rubin…

Fink is a broker designed to enable science with large time-domain alert streams such as the one from the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). It exhibits traditional astronomy broker features such as…

The information gathered from observing planetary systems is not limited to the discovery of planets, but also includes the observational upper limits constraining the presence of any additional planets. Incorporating these upper limits…

Earth and Planetary Astrophysics · Physics 2024-07-10 Jamie Dietrich

The Large Synoptic Survey Telescope (LSST) is an ambitious astronomical survey with a similarly ambitious Data Management component. Data Management for LSST includes processing on both nightly and yearly cadences to generate transient…

Discovery rates of supernovae are expected to surpass one million events annually with the Vera C. Rubin Observatory. With unprecedented sample sizes of both common and rare transient types, photometric classification alone will be…

Instrumentation and Methods for Astrophysics · Physics 2025-07-21 E. Reynolds , A. Gagliano , V. A. Villar

Novelty detection in large scientific datasets faces two key challenges: the noisy and high-dimensional nature of experimental data, and the necessity of making statistically robust statements about any observed outliers. While there is a…

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

Time series anomaly detection is critical for modern digital infrastructures, yet existing methods lack systematic cross-domain evaluation. We present a comprehensive forecasting-based framework unifying classical methods (Holt-Winters,…

Machine Learning · Computer Science 2025-10-14 Mohammad Karami , Mostafa Jalali , Fatemeh Ghassemi

To extend LSST's coverage of the transient and variable sky down to minute timescales, we propose that observations of the Deep Drilling Fields are acquired in sequences of continuous exposures each lasting 2--4 hours. This will allow LSST…

Instrumentation and Methods for Astrophysics · Physics 2018-12-10 Keaton J. Bell , J. J. Hermes

Digital tracking detects faint solar system bodies by stacking many images along hypothesized orbits, revealing objects that are undetectable in every individual exposure. Previous searches have been restricted to small areas and short time…

Earth and Planetary Astrophysics · Physics 2025-10-01 Alex Geringer-Sameth , Nathan Golovich , Keita Iwabuchi

As a result of applying the original optical variability search method on publicly available data, we have found eight new cataclysmic variables and two possible Optically Violent Variable quasars among the previously unidentified X-ray…

Solar and Stellar Astrophysics · Physics 2015-05-19 D. V. Denisenko , K. V. Sokolovsky

Modern time-domain surveys continuously monitor large swaths of the sky to look for astronomical variability. Astrophysical discovery in such data sets is complicated by the fact that detections of real transient and variable sources are…

Instrumentation and Methods for Astrophysics · Physics 2015-06-11 Henrik Brink , Joseph W. Richards , Dovi Poznanski , Joshua S. Bloom , John Rice , Sahand Negahban , Martin Wainwright

Remote sensing change detection is essential for environmental monitoring, urban planning, and related applications. However, current methods often struggle to capture long-range dependencies while maintaining computational efficiency.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Zhenyu Yang , Gensheng Pei , Yazhou Yao , Tianfei Zhou , Lizhong Ding , Fumin Shen

Tidal features provide signatures of recent mergers and offer a unique insight into the assembly history of galaxies. The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will enable an unprecedentedly large survey of…

Next generation astronomical surveys naturally pose challenges for human-centred visualisation and analysis workflows that currently rely on the use of standard desktop display environments. While a significant fraction of the data…

Instrumentation and Methods for Astrophysics · Physics 2023-07-11 C. J. Fluke , D. Vohl , V. A. Kilborn , C. Murugeshan

The Hubble Space Telescope (HST) has obtained multi-epoch observations providing the opportunity for a comprehensive variability search aiming to uncover new variables. We have therefore undertaken the task of creating a catalog of variable…

We simulate and analyse the contribution of the Rubin Observatory Legacy Survey of Space and Time (LSST) to the rate of discovery of Near Earth Object (NEO) candidates, their submission rates to the NEO Confirmation page (NEOCP), and the…

Earth and Planetary Astrophysics · Physics 2024-08-23 Tom Wagg , Mario Juric , Peter Yoachim , Jake Kurlander , Sam Cornwall , Joachim Moeyens , Siegfried Eggl , R. Lynne Jones , Peter Birtwhistle