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The number of astrophysical sources detected by Advanced LIGO and Virgo is expected to increase as the detectors approach their design sensitivity. Gravitational wave detectors are also sensitive to transient noise sources created by the…

天体物理仪器与方法 · 物理学 2018-07-25 Jade Powell

We present an improved method for vetoing candidates of continuous gravitational-wave sources during all-sky searches utilizing the Frequency Hough pipeline. This approach leverages linear correlations between source parameters induced by…

Gravitational waves from binary neutron star post-merger remnants have the potential to uncover the physics of the hot nuclear equation of state. These gravitational-wave signals are high frequency ($\sim$ kHz) and short lived…

广义相对论与量子宇宙学 · 物理学 2023-05-31 Fiona H. Panther , Paul D. Lasky

When searching for gravitational waves in the data from ground-based gravitational wave detectors it is common to use a detection threshold to reduce the number of background events which are unlikely to be the signals of interest. However,…

天体物理仪器与方法 · 物理学 2014-01-03 C. Messenger , J. Veitch

In this paper we investigate the impact of transient noise artifacts, or {\it glitches}, on gravitational-wave inference from ground-based interferometer data, and test how modeling and subtracting these glitches affects the inferred…

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…

广义相对论与量子宇宙学 · 物理学 2016-08-31 Tyson B. Littenberg , Jonah B. Kanner , Neil J. Cornish , Margaret Millhouse

We present a method to identify and categorize gravitational wave candidate triggers identified by matched filtering gravitational wave searches (pipelines) caused by transient noise (glitches) in gravitational wave detectors using Support…

广义相对论与量子宇宙学 · 物理学 2025-08-25 Zach Yarbrough , Andre Guimaraes , Prathamesh Joshi , Gabriela González , Andrew Valentini

Transient signals of instrumental and environmental origins ("glitches") in gravitational wave data elevate the false alarm rate of searches for astrophysical signals and reduce their sensitivity. Glitches that directly overlap…

广义相对论与量子宇宙学 · 物理学 2023-05-24 Soumya D. Mohanty , Mohammad A. T. Chowdhury

Identifying the presence of a gravitational wave transient buried in non-stationary, non-Gaussian noise which can often contain spurious noise transients (glitches) is a very challenging task. For a given data set, transient gravitational…

广义相对论与量子宇宙学 · 物理学 2020-11-18 V. Gayathri , Dixeena Lopez , R. S. Pranjal , Ik Siong Heng , Archana Pai , Chris Messenger

The LIGO detectors are sensitive to a variety of noise transients of non-astrophysical origin. Instrumental glitches and environmental disturbances increase the false alarm rate in the searches for gravitational waves. Using times already…

Advanced LIGO data contains numerous noise transients, or "glitches", that have been shown to reduce the sensitivity of matched filter searches for gravitational waves from compact binaries by increasing the rate at which random…

广义相对论与量子宇宙学 · 物理学 2020-08-26 Derek Davis , Laurel V. White , Peter R. Saulson

Gravitational wave bursts are transient signals distinct from compact binary mergers that arise from a wide variety of astrophysical phenomena. Because most of these phenomena are poorly modeled, the use of traditional search methods such…

广义相对论与量子宇宙学 · 物理学 2023-01-18 Vincent Boudart

Data from ground-based gravitational-wave detectors contains numerous short-duration instrumental artifacts, called "glitches." The high rate of these artifacts in turn results in a significant fraction of gravitational-wave signals from…

天体物理仪器与方法 · 物理学 2022-12-07 D. Davis , T. B. Littenberg , I. M. Romero-Shaw , M. Millhouse , J. McIver , F. Di Renzo , G. Ashton

Data from gravitational-wave (GW) detectors often contains a high rate of non-Gaussian transient noise, known as glitches. The parameters estimated from GW signals coinciding with detector glitches are occasionally biased away from their…

"Glitches" -- transient noise artifacts in the data collected by gravitational wave interferometers like LIGO and Virgo -- are an ever-present obstacle for the search and characterization of gravitational wave signals. With some having…

广义相对论与量子宇宙学 · 物理学 2022-01-21 Jonathan Merritt , Ben Farr , Rachel Hur , Bruce Edelman , Zoheyr Doctor

Searching for gravitational waves (GWs) from binary black holes (BBHs) with LIGO and Virgo involves matched-filtering data against a set of representative signal waveforms --- a template bank --- chosen to cover the full signal space of…

广义相对论与量子宇宙学 · 物理学 2016-06-08 Collin Capano , Ian Harry , Stephen Privitera , Alessandra Buonanno

Gravitational-wave observatories become more sensitive with each observing run, increasing the number of detected gravitational-wave signals. A limiting factor in identifying these signals is the presence of transient non-Gaussian noise,…

广义相对论与量子宇宙学 · 物理学 2023-09-14 Ruxandra Bondarescu , Andrew Lundgren , Ronaldas Macas

Searches for gravitational waves crucially depend on exact signal processing of noisy strain data from gravitational wave detectors, which are known to exhibit significant non-Gaussian behavior. In this paper, we study two distinct…

天体物理仪器与方法 · 物理学 2021-09-29 Barak Zackay , Tejaswi Venumadhav , Javier Roulet , Liang Dai , Matias Zaldarriaga

The detection of gravitational waves from compact binary coalescence by Advanced LIGO and Advanced Virgo provides an opportunity to study the strong-field, highly relativistic regime of gravity. Gravitational-wave tests of general…

广义相对论与量子宇宙学 · 物理学 2022-02-02 Jack Y. L. Kwok , Rico K. L. Lo , Alan J. Weinstein , Tjonnie G. F. Li

We present a new method for the classification of transient noise signals (or glitches) in advanced gravitational-wave interferometers. The method uses learned dictionaries (a supervised machine learning algorithm) for signal denoising, and…

天体物理仪器与方法 · 物理学 2019-05-22 Miquel Llorens-Monteagudo , Alejandro Torres-Forné , José A. Font , Antonio Marquina