107 citations · 590 across the 32 of their papers we have counts for
33 papers
Fast targeted gravitational-wave followup search for compact binary mergers using GSTLAL pipeline
Leo Tsukada, Noah Zhang, Surabhi Sachdev +4
We present a novel method to conduct targeted gravitational-wave searches for compact binary mergers using the GstLAL inspiral pipeline. By incorporating sky localization and timin…
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…
SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers
Yun-Jing Huang, Chad Hanna, Leo Tsukada +8
We present SGNL, a scalable, low-latency gravitational-wave search pipeline. It reimplements the core matched-filtering principles of the GstLAL pipeline within a modernized framew…
GW231109_235456: A Sub-threshold Binary Neutron Star Merger in the LIGO-Virgo-KAGRA O4a Observing Run?
Wanting Niu, Carl-Johan Haster, Jolien D. E. Creighton +25
We present a sub-threshold search for gravitational-wave inspirals from binary neutron stars using data from the first part of the fourth LIGO--Virgo--KAGRA observing run. To enhan…
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…
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…
Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers
Yun-Jing Huang, Chad Hanna, Becca Ewing +11
As gravitational-wave observations expand in scope and detection rate, the data analysis infrastructure must be modernized to accommodate rising computational demands and ensure su…
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…
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…
Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network
Soichiro Morisaki, Rory Smith, Leo Tsukada +4
We present a rapid parameter estimation framework for compact binary coalescence (CBC) signals observed by the LIGO-Virgo-KAGRA (LVK) detector network. The goal of our framework is…
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…
Background Filter: A method for removing signal contamination during significance estimation of a GstLAL anaysis
Prathamesh Joshi, Leo Tsukada, Chad Hanna
To evaluate the probability of a gravitational-wave candidate originating from noise, GstLAL collects noise statistics from the data it analyzes. Gravitational-wave signals of astr…
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…
A Unified for Gravitational Waves: Consistently Combining Information from Multiple Search Pipelines
Sharan Banagiri, Christopher P. L. Berry, Gareth S. Cabourn Davies +2
Recent gravitational-wave transient catalogs have used \pastro{}, the probability that a gravitational-wave candidate is astrophysical, to select interesting candidates for further…
pygwb: Python-based library for gravitational-wave background searches
Arianna I. Renzini, Alba Romero-Rodrguez, Colm Talbot +31
The collection of gravitational waves (GWs) that are either too weak or too numerous to be individually resolved is commonly referred to as the gravitational-wave background (GWB).…
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…
A binary tree approach to template placement for searches for gravitational waves from compact binary mergers
Chad Hanna, James Kennington, Shio Sakon +30
We demonstrate a new geometric method for fast template placement for searches for gravitational waves from the inspiral, merger and ringdown of compact binaries. The method is bas…
Metric Assisted Stochastic Sampling (MASS) search for gravitational waves from binary black hole mergers
Chad Hanna, Prathamesh Joshi, Rachael Huxford +29
We present a novel gravitational wave detection algorithm that conducts a matched filter search stochastically across the compact binary parameter space rather than relying on a fi…
All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems
The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369
Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…
Automating the Inclusion of Subthreshold Signal-to-Noise Ratios for Rapid Gravitational-Wave Localization
Cody Messick, Surabhi Sachdev, Kipp Cannon +29
The accurate localization of gravitational-wave (GW) events in low-latency is a crucial element in the search for further multimessenger signals from these cataclysmic events. The…
Incorporation of Statistical Data Quality Information into the GstLAL Search Analysis
Patrick Godwin, Reed Essick, Chad Hanna +20
We present updates to GstLAL, a matched filter gravitational-wave search pipeline, in Advanced LIGO and Virgo's third observing run. We discuss the incorporation of statistical dat…