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Current and future surveys rely on machine learning classification to obtain large and complete samples of transients. Many of these algorithms are restricted by training samples that contain a limited number of spectroscopically confirmed…

Instrumentation and Methods for Astrophysics · Physics 2025-03-26 A. Möller , E. E. O. Ishida , J. Peloton , O. Vidal Velázquez , J. Soon , B. Martin , M. Cluver , M. Leoni , E. Taylor

We describe the fast transient classification algorithm in the center of the kilonova (KN) science module currently implemented in the Fink broker and report classification results based on simulated catalogs and real data from the ZTF…

Instrumentation and Methods for Astrophysics · Physics 2023-10-06 B. Biswas , E. E. O. Ishida , J. Peloton , A. Moller , M. V. Pruzhinskaya , R. S. de Souza , D. Muthukrishna

We provide the first results from the complete SNAD adaptive learning pipeline in the context of a broad scope of data from large-scale astronomical surveys. The main goal of this work is to explore the potential of adaptive learning…

Modern wide-field time-domain surveys produce alert streams whose scientific potential is often concentrated in rare and unusual events. Efficient discovery therefore requires automated pipelines to be combined with rapid expert validation…

The advent of large astronomical surveys has made available large and complex data sets. However, the process of discovery and interpretation of each potentially new astronomical source is, many times, still handcrafted. In this context,…

Instrumentation and Methods for Astrophysics · Physics 2024-10-29 T. Majumder , M. V. Pruzhinskaya , E. E. O. Ishida , K. L. Malanchev , T. A. Semenikhin

The Zwicky Transient Facility (ZTF), a state-of-the-art optical robotic sky survey, registers on the order of a million transient events - such as supernova explosions, changes in brightness of variable sources, or moving object detections…

Instrumentation and Methods for Astrophysics · Physics 2021-11-25 Dmitry A. Duev , Stéfan J. van der Walt

Superluminous supernovae (SLSNe) are one of the most luminous stellar explosions known, yet they remain poorly understood. Because they are intrinsically rare, efficiently identifying them in the large alert streams produced by modern…

Instrumentation and Methods for Astrophysics · Physics 2026-04-17 E. Russeil , R. Lunnan , J. Peloton , S. Schulze , P. J. Pessi , D. Perley , J. Sollerman , A. Gkini , Y. Hu , T. -W. Chen , E. C. Bellm , T. X. Chen , B. Rusholme

Modern time-domain surveys, such as the Zwicky Transient Facility (ZTF), detect far more extragalactic transients than can be spectroscopically classified. Photometric classification offers a scalable alternative, enabling the…

Type Ia supernovae (SNe~Ia) in the nearby Hubble flow are excellent distance indicators in cosmology. The Zwicky Transient Facility (ZTF) has observed a large sample of supernovae from an untargeted, rolling survey, reaching $20.8, 20.6,…

In this work, we propose a deep learning-based classification model of astronomical objects using alerts reported by the Zwicky Transient Facility (ZTF) survey. The model takes as inputs sequences of stamp images and metadata contained in…

Instrumentation and Methods for Astrophysics · Physics 2024-05-27 Daniel Neira O. , Pablo A. Estévez , Francisco Förster

We present a real-time stamp classifier of astronomical events for the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker. The classifier is based on a convolutional neural network, trained on alerts ingested from the…

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…

Instrumentation and Methods for Astrophysics · Physics 2026-03-11 Semenikhin T. A. , Kornilov M. V. , Pruzhinskaya M. V. , Krushinsky V. V. , Malanchev K. L. , Dodin A.

We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification. The strategy accounts for the unavoidable mismatch between spectroscopic and photometric samples, and can be used even in the…

The upcoming Legacy Survey of Space and Time (LSST) is expected to detect a few million transients per night, which will generate a live alert stream during the entire ten years of the survey. This stream will be distributed via community…

Instrumentation and Methods for Astrophysics · Physics 2024-12-18 B. M. O. Fraga , C. R. Bom , A. Santos , E. Russeil , M. Leoni , J. Peloton , E. E. O. Ishida , A. Möller , S. Blondin

The Zwicky Transient Facility SN Ia Data Release 2 (ZTF SN Ia DR2) contains more than 3,000 Type Ia supernovae (SNe Ia), providing the largest homogeneous low-redshift sample of SNe Ia. Having at least one spectrum per event, this data…

With the advent of large-scale astronomical surveys such as the Zwicky Transient Facility (ZTF), the number of alerts generated by transient, variable and moving astronomical objects is growing rapidly, reaching millions per night.…

Earth and Planetary Astrophysics · Physics 2024-01-12 R. Le Montagner , J. Peloton , B. Carry , J. Desmars , D. Hestroffer , R. A. Mendez , A. C. Perlbarg , W. Thuillot

We report the automatic detection of 11 transients (7 possible supernovae and 4 active galactic nuclei candidates) within the Zwicky Transient Facility fourth data release (ZTF DR4), all of them observed in 2018 and absent from public…

Instrumentation and Methods for Astrophysics · Physics 2022-06-01 P. D. Aleo , K. L. Malanchev , M. V. Pruzhinskaya , E. E. O. Ishida , E. Russeil , M. V. Kornilov , V. S. Korolev , S. Sreejith , A. A. Volnova , G. S. Narayan

The nature of the progenitor systems and explosion mechanisms that give rise to Type Ia supernovae (SNe Ia) are still debated. The interaction signature of circumstellar material (CSM) being swept up by expanding ejecta can constrain the…

With the rapid growth of wireless communications, specific emitter identification (SEI) is significant for communication security. However, its model training relies heavily on the large-scale labeled data, which are costly and…

Artificial Intelligence · Computer Science 2026-01-09 Jingyi Wang , Fanggang Wang
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