649 citations · 5.1k across the 69 of their papers we have counts for
14 papers · 1 filter
Robust, Rapid, and Simple Gravitational-wave Parameter Estimation
Alexander Harvey Nitz
Rapid and robust parameter estimation of gravitational-wave sources is a key component of modern multi-messenger astronomy. We present a novel and straightforward method for rapid…
Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee
Matthew Evans, Alessandra Corsi, Chaitanya Afle +73
Gravitational-wave astronomy has revolutionized humanity's view of the universe, a revolution driven by observations that no other field can make. This white paper describes an obs…
Adapting the PyCBC pipeline to find and infer the properties of gravitational waves from massive black hole binaries in LISA
Connor R. Weaving, Laura K. Nuttall, Ian W. Harry +2
The Laser Interferometer Space Antenna (LISA), due for launch in the mid 2030s, is expected to observe gravitational waves (GW)s from merging massive black hole binaries (MBHB)s. T…
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +20
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitationa…
Mock data study for next-generation ground-based detectors: The performance loss of matched filtering due to correlated confusion noise
Shichao Wu, Alexander H. Nitz
The next-generation (3G/XG) ground-based gravitational-wave (GW) detectors such as Einstein Telescope (ET) and Cosmic Explorer (CE) will begin observing in the next decade. Due to…
Sensitivity of spin-aligned searches for neutron star-black hole systems using future detectors
Rahul Dhurkunde, Alexander H. Nitz
Current searches for gravitational waves from compact-binary objects are primarily designed to detect the dominant gravitational-wave mode and assume that the binary components hav…
Parameter Estimation with Nonstationary Noise in Gravitational-wave Data
Sumit Kumar, Alexander H. Nitz, Xisco Jiménez Forteza
The sensitivity of gravitational-wave (GW) detectors is characterized by their noise curves, which determine the detector's reach and ability to measure the parameters of astrophys…
Next Generation Observatories -- Report from the Dawn VI Workshop; October 5-7 2021
D. H. Shoemaker, Stefan Ballmer, Matteo Barsuglia +33
The workshop Dawn VI: Next Generation Observatories took place online over three days, 5-7 October, 2021. More than 200 physicists and astronomers attended to contribute to, and le…
A Horizon Study for Cosmic Explorer: Science, Observatories, and Community
Matthew Evans, Rana X Adhikari, Chaitanya Afle +29
This Horizon Study describes a next-generation ground-based gravitational-wave observatory: Cosmic Explorer. With ten times the sensitivity of Advanced LIGO, Cosmic Explorer will p…
Hierarchical approach to matched filtering using a reduced basis
Rahul Dhurkunde, Henning Fehrmann, Alexander H. Nitz
Searching for gravitational waves from compact binary coalescence (CBC) is performed by matched filtering the observed strain data from gravitational-wave observatories against a d…
From One to Many: A Deep Learning Coincident Gravitational-Wave Search
Marlin B. Schäfer, Alexander H. Nitz
Gravitational waves from the coalescence of compact-binary sources are now routinely observed by Earth bound detectors. The most sensitive search algorithms convolve many different…
Training Strategies for Deep Learning Gravitational-Wave Searches
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +2
Compact binary systems emit gravitational radiation which is potentially detectable by current Earth bound detectors. Extracting these signals from the instruments' background nois…
PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals
C. M. Biwer, Collin D. Capano, Soumi De +4
We introduce new modules in the open-source PyCBC gravitational- wave astronomy toolkit that implement Bayesian inference for compact-object binary mergers. We review the Bayesian…
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…