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Optical surveys have become increasingly adept at identifying candidate Tidal Disruption Events (TDEs) in large numbers, but classifying these generally requires extensive spectroscopic resources. Here we present $\texttt{tdescore}$, a…

The detection of tidal disruption events (TDEs) is one of the key science goals of large optical time-domain surveys such as the Zwicky Transient Facility (ZTF) and the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time.…

High Energy Astrophysical Phenomena · Physics 2026-01-14 Miguel Llamas Lanza , Sergey Karpov , Etienne Russeil , Erwan Quintin , Emille Ishida , Julien Peloton , Maria Pruzhinskaya , Anais Möller

Tidal disruption events (TDEs) are rare, 10^(-7)/yr/Mpc^3 (Hung et al. 2018), yet the large survey volume of LSST implies a very large detection rate of 200/yr/(1000 deg^2) (van Velzen et al. 2011), a factor of 250 increase in the detection…

Instrumentation and Methods for Astrophysics · Physics 2018-12-19 Suvi Gezari , Sjoert van Velzen , Tiara Hung , Brad Cenko , Iair Arcavi

Optical time-domain survey has been the dominant means of hunting for rare tidal disruption events (TDEs) in the past decade and remarkably advanced the TDE study. Particularly, the Zwicky Transient Facility (ZTF) has opened the era of…

High Energy Astrophysical Phenomena · Physics 2022-04-05 Zheyu Lin , Ning Jiang , Xu Kong

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

ALeRCE (Automatic Learning for the Rapid Classification of Events) processes the Zwicky Transient Facility (ZTF) alert stream in preparation for the Vera C. Rubin Observatory, classifying objects using a broad taxonomy. The ALeRCE light…

We present an expansion of FLEET, a machine learning algorithm optimized to select transients that are most likely to be tidal disruption events (TDEs). FLEET is based on a random forest algorithm trained on the light curves and host galaxy…

High Energy Astrophysical Phenomena · Physics 2023-06-14 Sebastian Gomez , V. Ashley Villar , Edo Berger , Suvi Gezari , Sjoert van Velzen , Matt Nicholl , Peter K. Blanchard , Kate. D. Alexander

Modern time-domain surveys like the Zwicky Transient Facility (ZTF) and the Legacy Survey of Space and Time (LSST) generate hundreds of thousands to millions of alerts, demanding automatic, unified classification of transients and variable…

Tidal disruption events (TDEs) correspond to the destruction of a star by the tidal forces around a black hole, leading to outbursts which can last from months to years. These transients are rare, and increasing the current sample is…

We introduce the Temporal Contrastive Transformer (TCT), a representation learning framework designed to capture contextual temporal dynamics in sequences of financial transactions. The model is trained using a self-supervised contrastive…

Machine Learning · Computer Science 2026-05-22 Danny Butvinik , Yonit Marcus , Nitzan Tal , Gabrielle Azoulay

A nuclear transient detected in a post-starburst galaxy or other quiescent galaxy with strong Balmer absorption is likely to be a Tidal Disruption Event (TDE). Identifying such galaxies within the planned survey footprint of the Large…

Astrophysics of Galaxies · Physics 2018-11-29 K. Decker French , Ann I. Zabludoff

We present results from a systematic selection of tidal disruption events (TDEs) in a wide-area (4800~deg$^2$), $g+R$ band, Intermediate Palomar Transient Factory (iPTF) experiment. Our selection targets typical optically-selected TDEs:…

The Bright Transient Survey (BTS) aims to obtain a classification spectrum for all bright ($m_\mathrm{peak}\,\leq\,18.5\,$mag) extragalactic transients found in the Zwicky Transient Facility (ZTF) public survey. BTS critically relies on…

Known for their efficiency in analyzing large data sets, machine learning classifiers are widely used in wide-field sky surveys. The upcoming Vera C. Rubin Observatory Legacy of Time and Space Survey (LSST) will generate millions of alerts…

Instrumentation and Methods for Astrophysics · Physics 2023-12-11 Xinyue Sheng , Matt Nicholl , Ken W. Smith , David R. Young , Roy D. Williams , Heloise F. Stevance , Stephen J. Smartt , Shubham Srivastav , Thomas Moore

Modern astronomical surveys, such as the Zwicky Transient Facility (ZTF), are capable of detecting thousands of transient events per year, necessitating the use of automated and scalable data analysis techniques. Recent advances in machine…

Instrumentation and Methods for Astrophysics · Physics 2025-04-17 Betty X. Hu , Avi Loeb

Accurate vehicle type classification serves a significant role in the intelligent transportation system. It is critical for ruler to understand the road conditions and usually contributive for the traffic light control system to response…

Computer Vision and Pattern Recognition · Computer Science 2022-09-28 Ruikang Luo , Yaofeng Song , Han Zhao , Yicheng Zhang , Yi Zhang , Nanbin Zhao , Liping Huang , Rong Su

We report a candidate tidal disruption event (TDE) found in the Zwicky Transient Facility (ZTF) survey data. This candidate, with its transient name AT2021acak, showed brightness increases of $\sim$1\,mag around MJD~59500 and subsequent…

High Energy Astrophysical Phenomena · Physics 2023-02-01 Jie Li , Zhongxiang Wang , Dong Zheng , Jujia Zhang , Litao Zhu , Zhangyi Chen

Tidal disruption events (TDEs) offer a unique way to study dormant black holes. While the number of observed TDEs has grown thanks to the emergence of wide-field surveys in the past few decades, questions regarding the nature of the…

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