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Related papers: Glitch noise classification in KAGRA O3GK observin…

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We present a convolutional neural network that is capable of searching for continuous gravitational waves, quasi-monochromatic, persistent signals arising from asymmetrically rotating neutron stars, in $\sim 1$ year of simulated data that…

General Relativity and Quantum Cosmology · Physics 2022-07-27 Takahiro S. Yamamoto , Andrew L. Miller , Magdalena Sieniawska , Takahiro Tanaka

This paper addresses the standard generalized likelihood ratio test (GLRT) detection problem of weak signals in background noise. In so doing, we consider a nonfluctuating target embedded in complex white Gaussian noise (CWGN), in which the…

Signal Processing · Electrical Eng. & Systems 2021-07-12 Fernando Darío Almeida García , Marco Antonio Miguel Miranda , José Cândido Silveira Santos Filho

Gravitational-wave now became one of the important observational methods for studying the Universe since its first detection. However, the ground-based observatories have an inherent barrier to their detection frequency band due to the…

Instrumentation and Methods for Astrophysics · Physics 2023-05-05 John J. Oh

Continuous gravitational-wave signals from isolated non-axisymmetric rotating neutron stars may undergo episodic spin-up events known as glitches. If unmodelled by a search, these can result in missed or misidentified detections. We outline…

General Relativity and Quantum Cosmology · Physics 2018-09-26 Gregory Ashton , Reinhard Prix , Ian Jones

KAGRA, the underground and cryogenic gravitational-wave detector, was operated for its solo observation from February 25th to March 10th, 2020, and its first joint observation with the GEO 600 detector from April 7th -- 21st, 2020 (O3GK).…

General Relativity and Quantum Cosmology · Physics 2022-10-13 T. Akutsu , M. Ando , K. Arai , Y. Arai , S. Araki , A. Araya , N. Aritomi , H. Asada , Y. Aso , S. Bae , Y. Bae , L. Baiotti , R. Bajpai , M. A. Barton , K. Cannon , Z. Cao , E. Capocasa , M. Chan , C. Chen , K. Chen , Y. Chen , C-I. Chiang , H. Chu , Y-K. Chu , S. Eguchi , Y. Enomoto , R. Flaminio , Y. Fujii , Y. Fujikawa , M. Fukunaga , M. Fukushima , T. Furuhata , D. Gao , G. -G. Ge , S. Ha , A. Hagiwara , S. Haino , W. -B. Han , K. Hasegawa , K. Hattori , H. Hayakawa , K. Hayama , Y. Himemoto , Y. Hiranuma , N. Hirata , E. Hirose , Z. Hong , B-H. Hsieh , G-Z. Huang , H-Y. Huang , P. Huang , Y-C. Huang , Y. -J. Huang , D. C. Y. Hui , S. Ide , B. Ikenoue , S. Imam , K. Inayoshi , Y. Inoue , K. Ioka , K. Ito , Y. Itoh , K. Izumi , C. Jeon , H. -B. Jin , K. Jung , P. Jung , K. Kaihotsu , T. Kajita , M. Kakizaki , M. Kamiizumi , S. Kanbara , N. Kanda , G. Kang , Y. Kataoka , K. Kawaguchi , N. Kawai , T. Kawasaki , C. Kim , J. Kim , J. C. Kim , W. S. Kim , Y. -M. Kim , N. Kimura , N. Kita , H. Kitazawa , Y. Kojima , K. Kokeyama , K. Komori , A. K. H. Kong , K. Kotake , C. Kozakai , R. Kozu , R. Kumar , J. Kume , C. Kuo , H-S. Kuo , Y. Kuromiya , S. Kuroyanagi , K. Kusayanagi , K. Kwak , H. K. Lee , H. W. Lee , R. Lee , M. Leonardi , K. L. Li , L. C. -C. Lin , C-Y. Lin , F-K. Lin , F-L. Lin , H. L. Lin , G. C. Liu , L. -W. Luo , E. Majorana , M. Marchio , Y. Michimura , N. Mio , O. Miyakawa , A. Miyamoto , Y. Miyazaki , K. Miyo , S. Miyoki , Y. Mori , S. Morisaki , Y. Moriwaki , K. Nagano , S. Nagano , K. Nakamura , H. Nakano , M. Nakano , R. Nakashima , Y. Nakayama , T. Narikawa , L. Naticchioni , R. Negishi , L. Nguyen Quynh , W. -T. Ni , A. Nishizawa , S. Nozaki , Y. Obuchi , W. Ogaki , J. J. Oh , K. Oh , S. H. Oh , M. Ohashi , N. Ohishi , M. Ohkawa , H. Ohta , Y. Okutani , K. Okutomi , K. Oohara , C. Ooi , S. Oshino , S. Otabe , K. -C. Pan , H. Pang , A. Parisi , J. Park , F. E. Peña Arellano , I. Pinto , N. Sago , S. Saito , Y. Saito , K. Sakai , Y. Sakai , Y. Sakuno , S. Sato , T. Sato , T. Sawada , T. Sekiguchi , Y. Sekiguchi , L. Shao , S. Shibagaki , R. Shimizu , T. Shimoda , K. Shimode , H. Shinkai , T. Shishido , A. Shoda , K. Somiya , E. J. Son , H. Sotani , R. Sugimoto , J. Suresh , T. Suzuki , T. Suzuki , H. Tagoshi , H. Takahashi , R. Takahashi , A. Takamori , S. Takano , H. Takeda , M. Takeda , H. Tanaka , K. Tanaka , K. Tanaka , T. Tanaka , T. Tanaka , S. Tanioka , E. N. Tapia San Martín , S. Telada , T. Tomaru , Y. Tomigami , T. Tomura , F. Travasso , L. Trozzo , T. Tsang , J-S. Tsao , K. Tsubono , S. Tsuchida , T. Tsutsui , T. Tsuzuki , D. Tuyenbayev , N. Uchikata , T. Uchiyama , A. Ueda , T. Uehara , K. Ueno , G. Ueshima , F. Uraguchi , T. Ushiba , M. H. P. M. van Putten , H. Vocca , J. Wang , T. Washimi , C. Wu , H. Wu , S. Wu , W-R. Xu , T. Yamada , K. Yamamoto , K. Yamamoto , T. Yamamoto , K. Yamashita , R. Yamazaki , Y. Yang , K. Yano , K. Yokogawa , J. Yokoyama , T. Yokozawa , T. Yoshioka , H. Yuzurihara , S. Zeidler , M. Zhan , H. Zhang , Y. Zhao , Z. -H. Zhu , R. Goetz , M. Heintze , J. Liu , C. Müller , R. Savage , D. Tanner

Excess transient noise events, or glitches, impact the data quality of ground-based ravitational-wave (GW) detectors and impair the detection of signals produced by astrophysical sources. Identification of the causes of these glitches is a…

General Relativity and Quantum Cosmology · Physics 2021-07-19 Kentaro Mogushi

Instrumental and environmental transient noise bursts in gravitational-wave detectors, or glitches, may impair astrophysical observations by adversely affecting the sky localization and the parameter estimation of gravitational-wave…

General Relativity and Quantum Cosmology · Physics 2021-01-14 Kentaro Mogushi , Ryan Quitzow-James , Marco Cavaglià , Sumeet Kulkarni , Fergus Hayes

We explore the potential for detecting rotational instabilities in the post-merger phase of binary neutron star mergers using different network configurations of upgraded and next-generation gravitational wave detectors. Our study employs…

General Relativity and Quantum Cosmology · Physics 2026-05-05 Argyro Sasli , Nikolaos Karnesis , Nikolaos Stergioulas

Precision timing of highly stable milli-second pulsars is a promising technique for the detection of very low frequency sources of gravitational waves. In any single pulsar, a stochastic gravitational wave signal appears as an additional…

General Relativity and Quantum Cosmology · Physics 2016-06-01 Neil J. Cornish , Laura M. Sampson

The existing high technology laser-beam detectors of gravitational waves may find very useful applications in an unexpected area - geophysics. To make possible the detection of weak gravitational waves in the region of high frequencies of…

General Relativity and Quantum Cosmology · Physics 2014-11-17 L. P. Grishchuk , V. V. Kulagin , V. N. Rudenko , A. Serdobolski

This paper presents a novel method for fault detection in vibration/acoustic signals contaminated with non-Gaussian noise, specifically addressing the challenge of random impulsive and wideband disturbances in industrial measurements. While…

Signal Processing · Electrical Eng. & Systems 2025-02-18 A Drewnicka , A Michalak , R Zimroz , A Kumar , A Wyłomańska , J Wodecki

When modified theories of gravity are considered, at most six gravitational wave polarization modes are allowed and classified in tensor modes, the only ones predicted by General Relativity (GR), along with additional vector and scalar…

Cosmology and Nongalactic Astrophysics · Physics 2022-03-29 Loris Amalberti , Nicola Bartolo , Angelo Ricciardone

The unprecedented sensitivity of the Laser Interferometer Gravitational-Wave Observatory, which enables the detection of distant astrophysical sources, also renders the detectors highly susceptible to low-frequency ground motion. Persistent…

The direct observation of intermediate-mass black holes (IMBH) populations would not only strengthen the possible evolutionary link between stellar and supermassive black holes, but unveil the details of the pair-instability mechanism and…

Instrumentation and Methods for Astrophysics · Physics 2025-12-16 Melissa Lopez , Giada Caneva , Ana Martins , Stefano Schmidt , Jonno Schoppink , Wouter van Straalen , Collin Capano , Sarah Caudill

Scattered light is one of the most common sources of noise in the LIGO gravitational wave detectors. Light scattering is a highly non-linear process through which motion at low frequencies gets up-converted and creates noise in a higher…

Instrumentation and Methods for Astrophysics · Physics 2026-05-15 Debasmita Nandi , Anamaria Effler , Siddharth Soni , Tabata Aira Ferreira , Robert Schofield , Huyen Pham , Timothy O'Hanlon , V. V. Frolov , Gabriela González

We introduce $\texttt{WaveletNet}$, a wavelet-based neural network architecture to identify and reduce non-Gaussian noise in gravitational wave data. Traditionally, convolutional neural networks (CNNs) have been widely used as a flexible…

Instrumentation and Methods for Astrophysics · Physics 2026-01-27 Arush Pimpalkar , Digvijay Wadekar , Mark Ho-Yeuk Cheung , Emanuele Berti

Detection of higher order modes of gravitational waves in third-generation (3G) ground-based detectors such as Cosmic Explorer and Einstein Telescope is explored. Using the astrophysical population of binary black holes based on events…

General Relativity and Quantum Cosmology · Physics 2021-10-25 Divyajyoti , Preet Baxi , Chandra Kant Mishra , K. G. Arun

When ambient seismic waves pass near an interferometric gravitational-wave detector, they induce density perturbations in the earth which produce fluctuating gravitational forces on the interferometer's test masses. These forces mimic a…

General Relativity and Quantum Cosmology · Physics 2009-12-30 Scott A. Hughes , Kip S. Thorne

Unphysical templates for inspiral binary merger signals have emerged as an effective way to veto signals (rule out false positives) identified as glitches. These templates help reduce the parameters needed to distinguish glitches from real…

General Relativity and Quantum Cosmology · Physics 2024-10-29 N. Arutkeerthi , Xiyuan Li , SR Valluri

Atmospheric gravity waves occur in the Earths atmosphere caused by an interplay between gravity and buoyancy forces. These waves have profound impacts on various aspects of the atmosphere, including the patterns of precipitation, cloud…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Seraj Al Mahmud Mostafa , Omar Faruque , Chenxi Wang , Jia Yue , Sanjay Purushotham , Jianwu Wang
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