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Related papers: Classification methods for noise transients in adv…

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We present a method for detection and reconstruction of the gravitational-wave (GW) transients with the networks of advanced detectors. Originally designed to search for transients with the initial GW detectors, it uses significantly…

General Relativity and Quantum Cosmology · Physics 2016-02-17 S. Klimenko , G. Vedovato , M. Drago , F. Salemi , V. Tiwari , G. A. Prodi , C. Lazzaro , K. Ackley , S. Tiwari , C. F. Da Silva Cost- , G. Mitselmakher

Transient noise glitches in gravitational-wave detector data limit the sensitivity of searches and contaminate detected signals. In this Paper, we show how glitches can be simulated using generative adversarial networks. We produce hundreds…

Instrumentation and Methods for Astrophysics · Physics 2023-01-25 Jade Powell , Ling Sun , Katinka Gereb , Paul D. Lasky , Markus Dollmann

We present a new method, based on fractal analysis, to characterize the output of a physical detector that is in the form of a set of real-valued, discrete physical measurements. We apply the method to gravitational-wave data from the…

General Relativity and Quantum Cosmology · Physics 2022-06-29 Marco Cavaglia

Modelling noise in gravitational-wave observatories is crucial for accurately inferring the properties of gravitational-wave sources. We introduce a transdimensional Bayesian approach to characterise the noise in ground-based…

Instrumentation and Methods for Astrophysics · Physics 2025-03-10 Nir Guttman , Paul D. Lasky , Eric Thrane

This chapter introduces the fundamental principles of gravitational wave detectors in a simple and comprehensive manner. Because these instruments aim for extremely high sensitivity, it is essential to understand their various noise…

Optics · Physics 2026-01-29 Marina Trad-Nery , Margherita Turconi , Walid Chaibi

The detection of gravitational waves with LIGO and Virgo requires a detailed understanding of the response of these instruments in the presence of environmental and instrumental noise. Of particular interest is the study of anomalous…

Instrumentation and Methods for Astrophysics · Physics 2018-05-30 Daniel George , Hongyu Shen , E. A. Huerta

The millihertz gravitational wave band is expected to be opened by space-borne detectors like TianQin. Various mechanisms can produce short outbursts of gravitational waves, whose actual waveform can be hard to model. In order to identify…

General Relativity and Quantum Cosmology · Physics 2024-05-15 Zheng Wu , Hui-Min Fan , Yi-Ming Hu , Ik Siong Heng

Gravitational wave astronomy is established with direct observation of gravitational wave from merging binary black holes and binary neutron stars during the first and second observing run of LIGO and Virgo detectors. The gravitational-wave…

General Relativity and Quantum Cosmology · Physics 2019-12-24 V. Gayathri , P. Bacon , A. Pai , E. Chassande-Mottin , F. Salemi , G. Vedovato

Based on the prior O1-O2 observing runs, about 30% of the data collected by Advanced LIGO and Virgo in the next observing runs are expected to be single-interferometer data, i.e., they will be collected at times when only one detector in…

Instrumentation and Methods for Astrophysics · Physics 2020-06-14 Marco Cavaglia , Sergio Gaudio , Travis Hansen , Kai Staats , Marek Szczepanczyk , Michele Zanolin

Coincident observations with gravitational wave (GW) detectors and other astronomical instruments are in the focus of the experiments with the network of LIGO, Virgo and GEO detectors. They will become a necessary part of the future GW…

Instrumentation and Methods for Astrophysics · Physics 2011-05-25 S. Klimenko , G. Vedovato , M. Drago , G. Mazzolo , G. Mitselmakher , C. Pankow , G. Prodi , V. Re , F. Salemi , I. Yakushin

With the advanced LIGO and Virgo detectors taking observations the detection of gravitational waves is expected within the next few years. Extracting astrophysical information from gravitational wave detections is a well-posed problem and…

General Relativity and Quantum Cosmology · Physics 2016-08-31 Tyson B. Littenberg , Jonah B. Kanner , Neil J. Cornish , Margaret Millhouse

We present a method to characterize the noise in ground-based gravitational-wave observatories such as the Laser Gravitational-Wave Observatory (LIGO). This method uses linear regression algorithms such as the least absolute shrinkage and…

Instrumentation and Methods for Astrophysics · Physics 2022-12-21 Guillermo Valdes , Adam Hines , Andrea Nelson , Yanqi Zhang , Felipe Guzman

Data streams of gravitational-wave detectors are polluted by transient noise features, or "glitches", of instrumental and environmental origin. In this work, we investigate the use of total-variation methods and learned dictionaries to…

General Relativity and Quantum Cosmology · Physics 2020-07-15 Alejandro Torres-Forné , Elena Cuoco , José A. Font , Antonio Marquina

This paper presents an analysis of the transient behavior of the Advanced LIGO suspensions used to seismically isolate the optics. We have characterized the transients in the longitudinal motion of the quadruple suspensions during Advanced…

Instrumentation and Methods for Astrophysics · Physics 2018-01-17 M. Walker , T. D. Abbott , S. M. Aston , G. González , D. M. Macleod , J. McIver , B. P. Abbott , R. Abbott , C. Adams , R. X. Adhikari , S. B. Anderson , A. Ananyeva , S. Appert , K. Arai , S. W. Ballmer , D. Barker , B. Barr , L. Barsotti , J. Bartlett , I. Bartos , J. C. Batch , A. S. Bell , J. Betzwieser , G. Billingsley , J. Birch , S. Biscans , C. Biwer , C. D. Blair , R. Bork , A. F. Brooks , G. Ciani , F. Clara , S. T. Countryman , M. J. Cowart , D. C. Coyne , A. Cumming , L. Cunningham , K. Danzmann , C. F. Da Silva Costa , E. J. Daw , D. DeBra , R. T. DeRosa , R. DeSalvo , K. L. Dooley , S. Doravari , J. C. Driggers , S. E. Dwyer , A. Effler , T. Etzel , M. Evans , T. M. Evans , M. Factourovich , H. Fair , A. Fernández Galiana , R. P. Fisher , P. Fritschel , V. V. Frolov , P. Fulda , M. Fyffe , J. A. Giaime , K. D. Giardina , E. Goetz , R. Goetz , S. Gras , C. Gray , H. Grote , K. E. Gushwa , E. K. Gustafson , R. Gustafson , E. D. Hall , G. Hammond , J. Hanks , J. Hanson , T. Hardwick , G. M. Harry , M. C. Heintze , A. W. Heptonstall , J. Hough , K. Izumi , R. Jones , S. Kandhasamy , S. Karki , M. Kasprzack , S. Kaufer , K. Kawabe , N. Kijbunchoo , E. J. King , P. J. King , J. S. Kissel , W. Z. Korth , G. Kuehn , M. Landry , B. Lantz , N. A. Lockerbie , M. Lormand , A. P. Lundgren , M. MacInnis , S. Márka , Z. Márka , A. S. Markosyan , E. Maros , I. W. Martin , D. V. Martynov , K. Mason , T. J. Massinger , F. Matichard , N. Mavalvala , R. McCarthy , D. E. McClelland , S. McCormick , G. McIntyre , G. Mendell , E. L. Merilh , P. M. Meyers , J. Miller , R. Mittleman , G. Moreno , G. Mueller , A. Mullavey , J. Munch , L. K. Nuttall , J. Oberling , M. Oliver , P. Oppermann , Richard J. Oram , B. O'Reilly , D. J. Ottaway , H. Overmier , J. R. Palamos , H. R. Paris , W. Parker , A. Pele , S. Penn , M. Phelps , V. Pierro , I. Pinto , M. Principe , L. G. Prokhorov , O. Puncken , V. Quetschke , E. A. Quintero , F. J. Raab , H. Radkins , P. Raffai , S. Reid , D. H. Reitze , N. A. Robertson , J. G. Rollins , V. J. Roma , J. H. Romie , S. Rowan , K. Ryan , T. Sadecki , E. J. Sanchez , V. Sandberg , R. L. Savage , R. M. S. Schofield , D. Sellers , D. A. Shaddock , T. J. Share , B. Shapiro , P. Shawhan , D. H. Shoemaker , D. Sigg , B. J. J. Slagmolen , B. Smith , J. R. Smith , B. Sorazu , A. Staley , K. A. Strain , D. B. Tanner , R. Taylor , M. Thomas , P. Thomas , K. A. Thorne , E. Thrane , C. I. Torrie , G. Traylor , D. Tuyenbayev , G. Vajente , G. Valdes , A. A. van Veggel , A. Vecchio , P. J. Veitch , K. Venkateswara , T. Vo , C. Vorvick , R. L. Ward , J. Warner , B. Weaver , R. Weiss , P. Weßels , B. Willke , C. C. Wipf , J. Worden , G. Wu , H. Yamamoto , C. C. Yancey , Hang Yu , Haocun Yu , L. Zhang , M. E. Zucker , J. Zweizig

We demonstrate unprecedented accuracy for rapid gravitational-wave parameter estimation with deep learning. Using neural networks as surrogates for Bayesian posterior distributions, we analyze eight gravitational-wave events from the first…

General Relativity and Quantum Cosmology · Physics 2023-05-31 Maximilian Dax , Stephen R. Green , Jonathan Gair , Jakob H. Macke , Alessandra Buonanno , Bernhard Schölkopf

The recent completion of Advanced LIGO suggests that gravitational waves (GWs) may soon be directly observed. Past searches for gravitational-wave transients have been impacted by transient noise artifacts, known as glitches, introduced…

Instrumentation and Methods for Astrophysics · Physics 2016-01-27 Jonah B. Kanner , Tyson B. Littenberg , Neil Cornish , Meg Millhouse , Enia Xhakaj , Francesco Salemi , Marco Drago , Gabriele Vedovato , Sergey Klimenko

As our ability to sense increases, we are experiencing a transition from data-poor problems, in which the central issue is a lack of relevant data, to data-rich problems, in which the central issue is to identify a few relevant features in…

Machine Learning · Computer Science 2023-02-08 Robert E. Colgan , Jingkai Yan , Zsuzsa Márka , Imre Bartos , Szabolcs Márka , John N. Wright

The sensitivity of next-generation gravitational-wave detectors such as Advanced LIGO and LCGT should be limited mostly by quantum noise with an expected technical progress to reduce seismic noise and thermal noise. Those detectors will…

General Relativity and Quantum Cosmology · Physics 2014-11-17 K. Somiya , Y. Chen , S. Kawamura , N. Mio

Advanced gravitational-wave detector designs are pushing towards lower frequencies, where certain types of noise, previously considered negligible, may come to dominate the detectors' noise budgets. In particular, we revisit atmospheric…

General Relativity and Quantum Cosmology · Physics 2025-05-12 Wenhui Wang , Teviet Creighton

The Omicron software is a tool developed to perform a multi-resolution time-frequency analysis of data from gravitational-wave detectors: the LIGO, Virgo, and KAGRA detectors. Omicron generates spectrograms from whitened data streams,…

Instrumentation and Methods for Astrophysics · Physics 2021-10-08 Florent Robinet , Nicolas Arnaud , Nicolas Leroy , Andrew Lundgren , Duncan Macleod , Jessica McIver