53 citations · 114 across the 18 of their papers we have counts for
18 papers
Method to get Better Sky Maps in a GstLAL Low-Latency Analysis
Prathamesh Joshi, Becca Ewing, Chad Hanna +40
Modeled gravitational wave searches correlate the strain data with a bank of gravitational wave template waveforms to make detections of gravitational wave candidates, and these re…
GstLAL O4 Online Results Paper
Shomik Adhicary, Pratyusava Baral, Amanda Baylor +39
Gravitational-wave observations of merging binary neutron stars and black holes are now routinely made by detectors in the Advanced LIGO-Virgo-KAGRA network. Neutron star binary sy…
GW070605: An Undisclosed Binary Neutron Star Hardware Injection in LIGO's Fifth Science Run
Heather Fong, Kipp Cannon, Chi-Wai Chan +7
The authors wished to document the sensitivity improvement that has been contributed to the GW detection rate by detection algorithm research and development efforts, and set about…
New Methods for Offline GstLAL Analyses
Prathamesh Joshi, Leo Tsukada, Chad Hanna +38
In this work, we present new methods implemented in the GstLAL offline gravitational wave search. These include a technique to reuse the matched filtering data products from a GstL…
How Many Times Should We Matched Filter Gravitational Wave Data? A Comparison of GstLAL's Online and Offline Performance
Prathamesh Joshi, Wanting Niu, Chad Hanna +34
Searches for gravitational waves from compact binary coalescences employ a process called matched filtering, in which gravitational wave strain data is cross-correlated against a b…
Performance of iDQ ahead of LIGO, Virgo, and KAGRA's fourth observing run
Rachael Huxford, Richard George, Max Trevor +2
The gravitational wave detectors used by the LIGO Scientific Collaboration, and the Virgo Collaboration are incredibly sensitive instruments which frequently detect non-stationary,…
Template bank for sub solar mass compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA
Chad Hanna, James Kennington, Wanting Niu +38
Matched-filtering searches for gravitational-wave signals from compact binary mergers employ template banks which are a collection of modeled waveforms described by unique intrinsi…
A neural network-based gravitational wave interpolant with applications to low-latency analyses
Ryan Magee, Richard George, Alvin Li +1
Matched-filter based gravitational-wave search pipelines identify candidate events within seconds of their arrival on Earth, offering a chance to guide electromagnetic follow-up an…
Searching for asymmetric and heavily precessing Binary Black Holes in the gravitational wave data from the LIGO and Virgo third Observing Run
Stefano Schmidt, Sarah Caudill, Jolien D. E. Creighton +37
Leveraging the features of the GstLAL pipeline, we present the results of a matched filtering search for asymmetric binary black hole systems with heavily misaligned spins in LIGO…
Searching for gravitational-wave signals from precessing black hole binaries with the GstLAL pipeline
Stefano Schmidt, Sarah Caudill, Jolien D. E. Creighton +36
Precession in Binary Black Holes (BBH) is caused by the failure of the Black Hole spins to be aligned and its study can open up new perspectives in gravitational waves (GW) astrono…
Accelerated parameter estimation in Bilby with relative binning
Kruthi Krishna, Aditya Vijaykumar, Apratim Ganguly +5
We describe an implementation of the relative binning technique to speed up parameter estimation of gravitational-wave signals. We first give a pedagogical overview of relative bin…
Rogue echoes from exotic compact objects
Aaron Zimmerman, Richard N. George, Yanbei Chen
Binary systems containing exotic compact objects may emit repeated bursts of gravitational waves (GWs) following coalescence. Such GW echoes would provide a clear signature of new…
When to Point Your Telescopes: Gravitational Wave Trigger Classification for Real-Time Multi-Messenger Followup Observations
Anarya Ray, Wanting Niu, Shio Sakon +36
We develop a robust and self-consistent framework to extract and classify gravitational wave candidates from noisy data, for the purpose of assisting in real-time multi-messenger f…
Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
Leo Tsukada, Prathamesh Joshi, Shomik Adhicary +37
Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded dete…
Performance of the low-latency GstLAL inspiral search towards LIGO, Virgo, and KAGRA's fourth observing run
Becca Ewing, Rachael Huxford, Divya Singh +40
GstLAL is a stream-based matched-filtering search pipeline aiming at the prompt discovery of gravitational waves from compact binary coalescences such as the mergers of black holes…
Template bank for compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA
Shio Sakon, Leo Tsukada, Heather Fong +34
Matched-filtering gravitational wave search pipelines identify gravitational wave signals by computing correlations, i.e., signal-to-noise ratios, between gravitational wave detect…
Dimensionally Reduced Waveforms for Spin-Induced Quadrupole Searches
Horng Sheng Chia, Thomas D. P. Edwards, Richard N. George +5
We present highly accurate, dimensionally-reduced gravitational waveforms for binary inspirals whose components have large spin-induced quadrupole moments. The spin-induced quadrup…
Efficient Gravitational Wave Template Bank Generation with Differentiable Waveforms
Adam Coogan, Thomas D. P. Edwards, Horng Sheng Chia +6
The most sensitive search pipelines for gravitational waves from compact binary mergers use matched filters to extract signals from the noisy data stream coming from gravitational…