activity
20172024
most citedSensitivity and Performance of the Advanced LIGO Detectors in the Third Observing Run

415 citations · 1.5k across the 26 of their papers we have counts for

collaborators

26 papers

astro-ph.HE2024

Detecting Gravitational Wave Memory in the Next Galactic Core-Collapse Supernova

Colter J. Richardson, Haakon Andresen, Anthony Mezzacappa +5

We present an approach to detecting (linear) gravitational wave memory in a Galactic core-collapse supernova using current interferometers. Gravitational wave memory is an importan…

astro-ph.HE2023★ 30 cited

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…

gr-qc2022★ 29 cited

Search for gravitational-wave bursts in the third Advanced LIGO-Virgo run with coherent WaveBurst enhanced by Machine Learning

Marek J. Szczepańczyk, Francesco Salemi, Sophie Bini +13

This paper presents a search for generic short-duration gravitational-wave (GW) transients (or GW bursts) in the data from the third observing run of Advanced LIGO and Advanced Vir…

astro-ph.HE2022

Constraining the Time of Gravitational Wave Emission from Core-Collapse Supernovae

Kiranjyot Gill, Griffin Hosseinzadeh, Edo Berger +2

The advent of sensitive gravitational wave (GW) detectors, coupled with wide-field, high cadence optical time-domain surveys, raises the possibility of the first joint GW-electroma…

gr-qc2022★ 22 cited

Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning

T. Mishra, B. O'Brien, M. Szczepanczyk +8

In this work, we use the coherent WaveBurst (cWB) pipeline enhanced with machine learning (ML) to search for binary black hole (BBH) mergers in the Advanced LIGO-Virgo strain data…

gr-qc2021

The search of higher multipole radiation in gravitational waves from compact binary coalescences by a minimally-modelled pipeline

O. Halim, G. Vedovato, E. Milotti +13

The coherent WaveBurst (cWB) pipeline implements a minimally-modelled search to find a coherent response in the network of gravitational wave detectors of the LIGO-Virgo Collaborat…

astro-ph.HE2021★ 27 cited

Modeling Core-Collapse Supernovae Gravitational-Wave Memory in Laser Interferometric Data

Colter Richardson, Michele Zanolin, Haakon Andresen +3

We study the properties of the gravitational wave (GW) emission between Hz and Hz (which we refer to as low-frequency emission) from core-collapse supernovae, in the…

gr-qc2021★ 13 cited

Detection of LIGO-Virgo binary black holes in the pair-instability mass gap

Brendan O'Brien, Marek Szczepanczyk, V. Gayathri +5

By probing the population of binary black hole (BBH) mergers detected by LIGO-Virgo, we can infer properties about the underlying black hole formation channels. A mechanism known a…

physics.ins-det2021★ 53 cited

LIGOs Quantum Response to Squeezed States

L. McCuller, S. E. Dwyer, A. C. Green +194

Gravitational Wave interferometers achieve their profound sensitivity by combining a Michelson interferometer with optical cavities, suspended masses, and now, squeezed quantum sta…

gr-qc2021★ 31 cited

Optimization of model independent gravitational wave search using machine learning

Tanmaya Mishra, Brendan O'Brien, V. Gayathri +4

The Coherent WaveBurst (cWB) search algorithm identifies generic gravitational wave (GW) signals in the LIGO-Virgo strain data. We propose a machine learning (ML) method to optimiz…

astro-ph.HE2021★ 6 cited

Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era

Marek Szczepanczyk, Javier Antelis, Michael Benjamin +17

We performed a detailed analysis of the detectability of a wide range of gravitational waves derived from core-collapse supernova simulations using gravitational-wave detector nois…

astro-ph.HE2021★ 64 cited

First demonstration of early warning gravitational wave alerts

Ryan Magee, Deep Chatterjee, Leo P. Singer +33

Gravitational-wave observations became commonplace in Advanced LIGO-Virgo's recently concluded third observing run. 56 non-retracted candidates were identified and publicly announc…

astro-ph.IM2021★ 233 cited

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…

astro-ph.IM2021★ 72 cited

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…

physics.ins-det2021★ 49 cited

Point absorbers in Advanced LIGO

Aidan F. Brooks, Gabriele Vajente, Hiro Yamamoto +198

Small, highly absorbing points are randomly present on the surfaces of the main interferometer optics in Advanced LIGO. The resulting nano-meter scale thermo-elastic deformations a…

astro-ph.HE2020★ 11 cited

Hubble Constant Measurement with GW190521 as an Eccentric Black Hole Merger

V. Gayathri, J. Healy, J. Lange +7

Gravitational wave observations can be used to accurately measure the Hubble constant and could help understand the present discrepancy between constraints from Type Ia super…

astro-ph.HE2020★ 31 cited

Observing an intermediate mass black hole GW190521 with minimal assumptions

Marek Szczepanczyk, Sergey Klimenko, Brendan O'Brien +10

On May 21, 2019 Advanced LIGO and Advanced Virgo detectors observed a gravitational-wave transient GW190521, the heaviest binary black-hole merger detected to date with the remnant…

astro-ph.HE2020★ 46 cited

Eccentricity Estimate for Black Hole Mergers with Numerical Relativity Simulations

V. Gayathri, J. Healy, J. Lange +7

The origin of black hole mergers discovered by the LIGO and Virgo gravitational-wave observatories is currently unknown. GW190521 is the heaviest black hole merger detected so far.…

astro-ph.IM2020★ 415 cited

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…

physics.ins-det2020★ 18 cited

Improving the Robustness of the Advanced LIGO Detectors to Earthquakes

Eyal Schwartz, A Pele, J Warner +196

Teleseismic, or distant, earthquakes regularly disrupt the operation of ground--based gravitational wave detectors such as Advanced LIGO. Here, we present \emph{EQ mode}, a new glo…

gr-qc2020★ 101 cited

Coherent WaveBurst, a pipeline for unmodeled gravitational-wave data analysis

M. Drago, V. Gayathri, S. Klimenko +12

coherent WaveBurst (cWB) is a highly configurable pipeline designed to detect a broad range of gravitational-wave (GW) transients in the data of the worldwide network of GW detecto…

gr-qc2020★ 3 cited

Interpreting gravitational-wave burst detections: constraining source properties without astrophysical models

Bence Bécsy, Peter Raffai, Kiranjyot Gill +3

We show that for detections of gravitational-wave transients, constraints can be given on physical parameters of the source without using any specific astrophysical models. Relying…

astro-ph.IM2020★ 37 cited

Improving the background of gravitational-wave searches for core collapse supernovae: A machine learning approach

Marco Cavaglia, Sergio Gaudio, Travis Hansen +3

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.,…

gr-qc2019★ 132 cited

Machine-learning non-stationary noise out of gravitational wave detectors

Gabriele Vajente, Yiwen Huang, Maximiliano Isi +4

Signal extraction out of background noise is a common challenge in high precision physics experiments, where the measurement output is often a continuous data stream. To improve th…