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Context. Apertif is a multi-beam receiver system for the Westerbork Synthesis Radio Telescope that operates at 1.1-1.5 GHz, which overlaps with various radio services, resulting in contamination of astronomical signals with radio-frequency…

Radio astronomy observational facilities are under constant upgradation and development to achieve better capabilities including increasing the time and frequency resolutions of the recorded data, and increasing the receiving and recording…

天体物理仪器与方法 · 物理学 2017-11-07 Tao An , Xiao Chen , P. Mohan , Bao-Qiang Lao

Radio-frequency interference (RFI) is a major systematic limitation in radio astronomy, particularly for science cases requiring high sensitivity, such as 21 cm cosmology. Traditionally, RFI is dealt with by identifying its signature in the…

Transient radio signals of astrophysical origin present an avenue for studying the dynamic universe. With the next generation of radio interferometers being planned and built, there is great potential for detecting and studying large…

天体物理仪器与方法 · 物理学 2015-05-27 Cathryn M. Trott , Randall B. Wayth , Jean-Pierre R. Macquart , Steven J. Tingay

Malicious encryption techniques continue to evolve, bypassing conventional detection mechanisms that rely on static signatures or predefined behavioral rules. Spectral analysis presents an alternative approach that transforms system…

密码学与安全 · 计算机科学 2025-03-26 Dominica Ayanara , Atticus Hillingworth , Jonathan Casselbury , Dominic Montague

A direct detection of gravitational waves is one of the most exciting frontiers for modern astronomy and astrophysics. Gravitational wave signals combined with classical electro-magnetic observations, known as multi-messenger astronomy,…

天体物理仪器与方法 · 物理学 2019-01-31 Satoshi Eguchi , Shota Shibagaki , Kazuhiro Hayama , Kei Kotake

The NOvA long-baseline neutrino experiment uses a pair of large, segmented, liquid-scintillator calorimeters to study neutrino oscillations, using GeV-scale neutrinos from the Fermilab NuMI beam. These detectors are also sensitive to the…

仪器与探测器 · 物理学 2023-02-18 NOvA Collaboration , M. A. Acero , P. Adamson , G. Agam , L. Aliaga , T. Alion , V. Allakhverdian , N. Anfimov , A. Antoshkin , E. Arrieta-Diaz , L. Asquith , A. Aurisano , A. Back , C. Backhouse , M. Baird , N. Balashov , P. Baldi , B. A. Bambah , S. Bashar , K. Bays , S. Bending , R. Bernstein , V. Bhatnagar , B. Bhuyan , J. Bian , J. Blair , A. C. Booth , P. Bour , R. Bowles , C. Bromberg , N. Buchanan , A. Butkevich , V. Bychkov , S. Calvez , T. J. Carroll , E. Catano-Mur , S. Childress , B. C. Choudhary , T. E. Coan , M. Colo , L. Corwin , L. Cremonesi , G. S. Davies , P. F. Derwent , P. Ding , Z. Djurcic , M. Dolce , D. Doyle , D. Dueñas Tonguino , E. C. Dukes , P. Dung , H. Duyang , S. Edayath , R. Ehrlich , M. Elkins , G. J. Feldman , P. Filip , W. Flanagan , J. Franc , M. J. Frank , H. R. Gallagher , R. Gandrajula , F. Gao , S. Germani , A. Giri , R. A. Gomes , M. C. Goodman , V. Grichine , M. Groh , R. Group , B. Guo , A. Habig , F. Hakl , A. Hall , J. Hartnell , R. Hatcher , A. Hatzikoutelis , K. Heller , V Hewes , A. Himmel , A. Holin , B. Howard , J. Huang , J. Hylen , F. Jediny , C. Johnson , M. Judah , I. Kakorin , D. Kalra , D. M. Kaplan , R. Keloth , O. Klimov , L. W. Koerner , L. Kolupaeva , S. Kotelnikov , M. Kubu , Ch. Kullenberg , A. Kumar , C. D. Kuruppu , V. Kus , T. Lackey , K. Lang , L. Li , S. Lin , A. Lister , M. Lokajicek , S. Luchuk , S. Magill , W. A. Mann , M. L. Marshak , M. Martinez-Casales , V. Matveev , B. Mayes , D. P. Méndez , M. D. Messier , H. Meyer , T. Miao , W. H. Miller , S. R. Mishra , A. Mislivec , R. Mohanta , A. Moren , A. Morozova , L. Mualem , M. Muether , S. Mufson , K. Mulder , R. Murphy , J. Musser , D. Naples , N. Nayak , J. K. Nelson , R. Nichol , G. Nikseresht , E. Niner , A. Norman , A. Norrick , T. Nosek , A. Olshevskiy , T. Olson , J. Paley , R. B. Patterson , G. Pawloski , O. Petrova , R. Petti , R. K. Plunkett , F. Psihas , A. Rafique , V. Raj , B. Ramson , B. Rebel , P. Rojas , V. Ryabov , O. Samoylov , M. C. Sanchez , S. Sánchez Falero , I. S. Seong , P. Shanahan , A. Sheshukov , P. Singh , V. Singh , E. Smith , J. Smolik , P. Snopok , N. Solomey , A. Sousa , K. Soustruznik , M. Strait , L. Suter , A. Sutton , C. Sweeney , R. L. Talaga , B. Tapia Oregui , P. Tas , R. B. Thayyullathil , J. Thomas , E. Tiras , D. Torbunov , J. Tripathi , A. Tsaris , Y. Torun , J. Urheim , P. Vahle , Z. Vallari , J. Vasel , P. Vokac , T. Vrba , M. Wallbank , T. K. Warburton , M. Wetstein , D. Whittington , D. A. Wickremasinghe , S. G. Wojcicki , J. Wolcott , A. Yallappa Dombara , K. Yonehara , S. Yu , Y. Yu , S. Zadorozhnyy , J. Zalesak , Y. Zhang , R. Zwaska

There have been many efforts to correct systematic effects in astronomical light curves to improve the detection and characterization of planetary transits and astrophysical variability. Algorithms like the Trend Filtering Algorithm (TFA)…

天体物理仪器与方法 · 物理学 2018-11-14 D. del Ser , O. Fors , J. Núñez

A spatial signal is defined by its evaluations on the whole domain. In this paper, we consider stable reconstruction of real-valued signals with finite rate of innovations (FRI), up to a sign, from their magnitude measurements on the whole…

信息论 · 计算机科学 2018-01-18 Cheng Cheng , Qiyu Sun

Radio Frequency Fingerprinting (RFF) techniques allow a receiver to authenticate a transmitter by analyzing the physical layer of the radio spectrum. Although the vast majority of scientific contributions focus on improving the performance…

密码学与安全 · 计算机科学 2025-11-24 Gabriele Oligeri , Savio Sciancalepore

In Internet of Things (IoT), radio frequency fingerprints (RFF) technology has been widely used for passive security authentication to identify the special emitter. However, few works took advantage of independent oscillator distortions at…

信号处理 · 电气工程与系统科学 2023-07-12 Xiaofang Chen , Wenbo Xu , Yue Wang

Anomaly detection is critical for finding suspicious behavior in innumerable systems. We need to detect anomalies in real-time, i.e. determine if an incoming entity is anomalous or not, as soon as we receive it, to minimize the effects of…

机器学习 · 计算机科学 2023-01-31 Siddharth Bhatia

Several post-detection approaches to the mitigation of radio-frequency interference (RFI) are compared by applying them to the strong RFI from the Iridium satellites. These provide estimates for the desired signal in the presence of RFI, by…

天体物理仪器与方法 · 物理学 2019-04-02 Avinash A. Deshpande , B. M. Lewis

Modern radio astronomy instruments generate vast amounts of data, and the increasingly challenging radio frequency interference (RFI) environment necessitates ever-more sophisticated RFI rejection algorithms. The "needle in a haystack"…

信号处理 · 电气工程与系统科学 2024-01-22 Peter Xiangyuan Ma , Steve Croft , Chris Lintott , Andrew P. V. Siemion

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.

In radio astronomy, radio frequency interference (RFI) becomes more and more serious for radio observational facilities. The RFI always influences the search and study of the interesting astronomical objects. Mitigating the RFI becomes an…

天体物理仪器与方法 · 物理学 2021-12-03 Chuan-Peng Zhang , Jin-Long Xu , Jie Wang , Yingjie Jing , Ziming Liu , Ming Zhu , Peng Jiang

This paper aims to give a brief review of a new concept for the preliminary determination of the evolutionary status of supernova remnants (SNRs). Data obtained by radio observations in continuum are used. There are three different methods…

高能天体物理现象 · 物理学 2022-06-29 Dejan Urošević

Contamination by Radio Frequency Interference (RFI) is a ubiquitous challenge for radio astronomy. In particular, transient RFI is difficult to detect and avoid, especially in large data sets with many time bins. In this work, we present a…

天体物理仪器与方法 · 物理学 2023-10-04 Dominic Anstey , Samuel A. K. Leeney

Much of the world's data is streaming, time-series data, where anomalies give significant information in critical situations; examples abound in domains such as finance, IT, security, medical, and energy. Yet detecting anomalies in…

人工智能 · 计算机科学 2016-11-17 Alexander Lavin , Subutai Ahmad