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相关论文: Real-Time Detection of Anomalies in Large-Scale Tr…

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Astronomical transients are stellar objects that become temporarily brighter on various timescales and have led to some of the most significant discoveries in cosmology and astronomy. Some of these transients are the explosive deaths of…

机器学习 · 计算机科学 2021-12-20 Daniel Muthukrishna , Kaisey S. Mandel , Michelle Lochner , Sara Webb , Gautham Narayan

Automating real-time anomaly detection is essential for identifying rare transients, with modern survey telescopes generating tens of thousands of alerts per night, and future telescopes, such as the Vera C. Rubin Observatory, projected to…

天体物理仪器与方法 · 物理学 2025-01-03 Rithwik Gupta , Daniel Muthukrishna , Michelle Lochner

Modern-day time-domain photometric surveys collect a lot of observations of various astronomical objects and the coming era of large-scale surveys will provide even more information on their properties. Spectroscopic follow-ups are…

There is a shortage of multi-wavelength and spectroscopic followup capabilities given the number of transient and variable astrophysical events discovered through wide-field, optical surveys such as the upcoming Vera C. Rubin Observatory.…

We present LAISS (Lightcurve Anomaly Identification and Similarity Search), an automated pipeline to detect anomalous astrophysical transients in real-time data streams. We deploy our anomaly detection model on the nightly ZTF Alert Stream…

Modern time-domain surveys produce alert streams at a scale that makes exhaustive manual inspection infeasible, requiring automated methods to identify unusual transients for follow-up. In this work, we present an unsupervised anomaly…

太阳与恒星天体物理 · 物理学 2026-02-16 Leyla Iskandarli , Chris J. Lintott , Steve Croft , Heloise Stevance , Joshua Weston

Our understanding of the Universe has profited from deliberate, targeted studies of known phenomena, as well as from serendipitous, unexpected discoveries, such as the discovery of a complex variability pattern in the direction of KIC…

We present RAPID (Real-time Automated Photometric IDentification), a novel time-series classification tool capable of automatically identifying transients from within a day of the initial alert, to the full lifetime of a light curve. Using…

天体物理仪器与方法 · 物理学 2019-10-08 Daniel Muthukrishna , Gautham Narayan , Kaisey S. Mandel , Rahul Biswas , Renée Hložek

Identification of anomalous light curves within time-domain surveys is often challenging. In addition, with the growing number of wide-field surveys and the volume of data produced exceeding astronomers ability for manual evaluation,…

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,…

天体物理仪器与方法 · 物理学 2023-10-06 Tarek Allam , Jason D. McEwen

The next generation of observatories will facilitate the discovery of new types of astrophysical transients. The detection of such phenomena, whose characteristics are presently poorly constrained, will hinge on the ability to perform blind…

高能天体物理现象 · 物理学 2019-02-15 Iftach Sadeh

Large time-domain sky surveys generate extensive multi-year catalogs of light curves in which scientifically valuable transients, such as supernovae (SNe), are vastly outnumbered by artifacts and routine star variability. While supervised…

天体物理仪器与方法 · 物理学 2026-03-11 Semenikhin T. A. , Kornilov M. V. , Pruzhinskaya M. V. , Krushinsky V. V. , Malanchev K. L. , Dodin A.

We introduce a novel approach to detecting microlensing events and other transients in light curves, utilising the isolation forest (iForest) algorithm for anomaly detection. Focusing on the Legacy Survey of Space and Time by the Vera C.…

太阳与恒星天体物理 · 物理学 2025-09-24 Miguel Crispim Romao , Djuna Croon , Daniel Godines

To search for optical counterparts to gravitational waves, it is crucial to develop an efficient follow-up method that allows for both a quick telescopic scan of the event localization region and search through the resulting image data for…

天体物理仪器与方法 · 物理学 2021-08-25 Katarzyna Wardęga , Adam Zadrożny , Martin Beroiz , Richard Camuccio , Mario C. Díaz

The next generation of observatories will facilitate the discovery of new types of astrophysical transients. The detection of such phenomena, whose characteristics are presently poorly constrained, will hinge on the ability to perform blind…

高能天体物理现象 · 物理学 2019-08-06 Iftach Sadeh

The ongoing optical time-domain astronomy surveys are routinely reporting fifty transient candidates per night. Here, I investigate the demographics of astronomical transients and supernova classifications reported to the Transient Name…

天体物理仪器与方法 · 物理学 2020-04-14 S. R. Kulkarni

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…

Astronomical transients, such as supernovae and other rare stellar explosions, have been instrumental in some of the most significant discoveries in astronomy. New astronomical sky surveys will soon record unprecedented numbers of…

天体物理仪器与方法 · 物理学 2023-11-30 Hali Huang , Daniel Muthukrishna , Prajna Nair , Zimi Zhang , Michael Fausnaugh , Torsha Majumder , Ryan J. Foley , George R. Ricker

Astrophysical observations taken from Earth are subject to weather, environmental, and scientific constraints that lead to sparse, irregular light curves. On the eve of the Vera C. Rubin Observatory Legacy Survey of Space and Time, its…

天体物理仪器与方法 · 物理学 2026-05-28 Siddharth Chaini , Federica B. Bianco , Ashish Mahabal

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…

天体物理仪器与方法 · 物理学 2026-04-16 Yu-Qian , Ouyang , Alex I. Malz , Ming Lian , Shar Daniels , Federica Bianco , Mathilda Nilsson
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