754 citations · 3.9k across the 54 of their papers we have counts for
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LIGO Detector Characterization in the Second and Third Parts of the Fourth Observing Run
J. Glanzer, A. F. Helmling-Cornell, A. Calafat +244
LIGO detector characterization efforts enabled the confident detection of gravitational waves from hundreds of compact binary coalescences during the fourth observing run. Reliable…
LIGO Detector Characterization in the first half of the fourth Observing run
S. Soni, B. K. Berger, D. Davis +232
Progress in gravitational-wave astronomy depends upon having sensitive detectors with good data quality. Since the end of the LIGO-Virgo-KAGRA third Observing run in March 2020, de…
AstroInformatics: Recommendations for Global Cooperation
Ashish Mahabal, Pranav Sharma, Rana Adhikari +45
Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Develop…
Explaining the GWSkyNet-Multi machine learning classifier predictions for gravitational-wave events
Nayyer Raza, Man Leong Chan, Daryl Haggard +5
GWSkyNet-Multi is a machine learning model developed for classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited…
Subtracting glitches from gravitational-wave detector data during the third observing run
D. Davis, T. B. Littenberg, I. M. Romero-Shaw +4
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…
GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts
Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira +4
Compact object mergers which produce both detectable gravitational waves and electromagnetic emission can provide valuable insights into the neutron star equation of state, the ten…
LIGO Detector Characterization in the Second and Third Observing Runs
D. Davis, J. S. Areeda, B. K. Berger +284
The characterization of the Advanced LIGO detectors in the second and third observing runs has increased the sensitivity of the instruments, allowing for a higher number of detecta…
Environmental Noise in Advanced LIGO Detectors
P. Nguyen, R. M. S. Schofield, A. Effler +215
The sensitivity of the Advanced LIGO detectors to gravitational waves can be affected by environmental disturbances external to the detectors themselves. Since the transition from…
Sensitivity and Performance of the Advanced LIGO Detectors in the Third Observing Run
LIGO Instrument Science List, :, A. Buikema +197
On April 1st, 2019, the Advanced Laser Interferometer Gravitational-Wave Observatory (aLIGO), joined by the Advanced Virgo detector, began the third observing run, a year-long dedi…
Reducing Scattered Light in LIGO's Third Observing Run
S Soni, C Austin, A Effler +195
Noise due to scattered light has been a frequent disturbance in the Advanced LIGO gravitational wave detectors, hindering the detection of gravitational waves. The non stationary s…
Omicron: a tool to characterize transient noise in gravitational-wave detectors
Florent Robinet, Nicolas Arnaud, Nicolas Leroy +3
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. Omic…
New methods to assess and improve LIGO detector duty cycle
Ayon Biswas, Jess McIver, Ashish Mahabal
A network of three or more gravitational wave detectors simultaneously taking data is required to generate a well-localized sky map for gravitational wave sources, such as GW170817…
The US Program in Ground-Based Gravitational Wave Science: Contribution from the LIGO Laboratory
David Reitze, Rich Abbott, Carl Adams +181
Recent gravitational-wave observations from the LIGO and Virgo observatories have brought a sense of great excitement to scientists and citizens the world over. Since September 201…
Generating Event Triggers Based on Hilbert-Huang Transform and Its Application to Gravitational-Wave Data
Edwin J. Son, Whansun Kim, Young-Min Kim +3
We present a new event trigger generator based on the Hilbert-Huang transform, named EtaGen (Gen). It decomposes a time-series data into several adaptive modes without imposing…
Improving astrophysical parameter estimation via offline noise subtraction for Advanced LIGO
J. C. Driggers, S. Vitale, A. P. Lundgren +228
The Advanced LIGO detectors have recently completed their second observation run successfully. The run lasted for approximately 10 months and lead to multiple new discoveries. The…
Identification and mitigation of narrow spectral artifacts that degrade searches for persistent gravitational waves in the first two observing runs of Advanced LIGO
P. B. Covas, A. Effler, E. Goetz +260
Searches are under way in Advanced LIGO and Virgo data for persistent gravitational waves from continuous sources, e.g. rapidly rotating galactic neutron stars, and stochastic sour…
Effects of transients in LIGO suspensions on searches for gravitational waves
M. Walker, T. D. Abbott, S. M. Aston +200
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 longi…