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The current data acquisition rate of astronomical transient surveys and the promise for significantly higher rates during in the next decade necessitate the development of novel approaches to analyze astronomical data sets and promptly…

天体物理仪器与方法 · 物理学 2022-01-28 Robert Strausbaugh , Antonino Cucchiara , Michael Dow , Sara Webb , Jielai Zhang , Simon Goode , Jeff Cooke

The Palomar Transient Factory (PTF) is a synoptic sky survey in operation since 2009. PTF utilizes a 7.1 square degree camera on the Palomar 48-inch Schmidt telescope to survey the sky primarily at a single wavelength (R-band) at a rate of…

天体物理仪器与方法 · 物理学 2015-01-27 J. Surace , R. Laher , F. Masci , C. Grillmair , G. Helou

In the task of anomaly detection in modern time-domain photometric surveys, the primary goal is to identify astrophysically interesting, rare, and unusual objects among a large volume of data. Unfortunately, artifacts -- such as plane or…

Cross-subject motor imagery (CS-MI) classification in brain-computer interfaces (BCIs) is a challenging task due to the significant variability in Electroencephalography (EEG) patterns across different individuals. This variability often…

机器学习 · 计算机科学 2025-07-04 Ahmed G. Habashi , Ahmed M. Azab , Seif Eldawlatly , Gamal M. Aly

Temporal sampling does more than add another axis to the vector of observables. Instead, under the recognition that how objects change (and move) in time speaks directly to the physics underlying astronomical phenomena, next-generation…

天体物理学 · 物理学 2009-06-25 J. S. Bloom , D. L. Starr , N. R. Butler , P. Nugent , M. Rischard , D. Eads , D. Poznanski

The recent advances in Gravitational-wave astronomy have greatly accelerated the study of Multimessenger astrophysics. There is a need for the development of fast and efficient algorithms to detect non-astrophysical transients and noises…

信号处理 · 电气工程与系统科学 2020-09-28 Rahul Nigam , Amit Mishra , Pranath Reddy

Machine learning methods are well established in the classification of quasars (QSOs). However, the advent of light curve observations adds a great amount of complexity to the problem. Our goal is to use the Zwicky Transient Facility (ZTF)…

The discovery rate of fast radio bursts (FRBs) is increasing dramatically thanks to new radio facilities. Meanwhile, wide-field instruments such as the 47 deg$^2$ Zwicky Transient Facility (ZTF) survey the optical sky to study transient and…

With the upcoming commensal surveys for Fast Radio Bursts (FRBs), and their high candidate rate, usage of machine learning algorithms for candidate classification is a necessity. Such algorithms will also play a pivotal role in sending…

天体物理仪器与方法 · 物理学 2020-06-26 Devansh Agarwal , Kshitij Aggarwal , Sarah Burke-Spolaor , Duncan R. Lorimer , Nathaniel Garver-Daniels

We present the Deep-learning Transient Astronomical Object (Deep-TAO), a dataset of 1,249,079 annotated images from the Catalina Real-time Transient Survey, including 3,807 transient and 12,500 non-transient sequences. Deep-TAO has been…

Time-domain surveys such as the Zwicky Transient Facility (ZTF) have opened a new frontier in the discovery and characterization of transients. While photometric light curves provide broad temporal coverage, spectroscopic observations…

We present a novel algorithm for scheduling the observations of time-domain imaging surveys. Our Integer Linear Programming approach optimizes an observing plan for an entire night by assigning targets to temporal blocks, enabling strict…

The experimental evaluation of fault-tolerance studies relies on tools that inject errors while programs are running, and then monitor the execution and the output for faulty execution. In particular, the established methodology in…

分布式、并行与集群计算 · 计算机科学 2019-08-29 Vasileios Porpodas

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…

Real-time identification and quantification of greenhouse-gas emissions under transient atmospheric conditions is a critical challenge in environmental monitoring. We introduce a spatio-temporal inversion framework that embeds a…

机器学习 · 计算机科学 2025-06-18 Thomas Newman , Christopher Nemeth , Matthew Jones , Philip Jonathan

A new golden age in astronomy is upon us, dominated by data. Large astronomical surveys are broadcasting unprecedented rates of information, demanding machine learning as a critical component in modern scientific pipelines to handle the…

天体物理仪器与方法 · 物理学 2023-03-17 Tarek Allam , Julien Peloton , Jason D. McEwen

The Zwicky Transient Facility (ZTF) is conducting a nightly public survey of all 13 TESS northern sectors in 2019-2020. ZTF will observe the portions of the current TESS sectors visible from Palomar Observatory each night. Each ZTF pointing…

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