535 citations · 835 across the 25 of their papers we have counts for
26 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…
Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis
Jun'ya Kume, Koh Ueno, Tatsuki Washimi +3
Noise subtraction is a crucial process in gravitational wave (GW) data analysis to improve the sensitivity of interferometric detectors. While linear noise coupling has been extens…
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…
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…
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…
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…
Noise subtraction from KAGRA O3GK data using Independent Component Analysis
KAGRA collaboration, H. Abe, T. Akutsu +197
In April 2020, KAGRA conducted its first science observation in combination with the GEO~600 detector (O3GK) for two weeks. According to the noise budget estimation, suspension con…
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…
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…
GstLAL: A software framework for gravitational wave discovery
Kipp Cannon, Sarah Caudill, Chiwai Chan +28
The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although GstLAL was primarily des…
An early warning system for electromagnetic follow-up of gravitational-wave events
Surabhi Sachdev, Ryan Magee, Chad Hanna +28
Binary neutron stars (BNSs) will spend -- 15 minutes in the band of Advanced LIGO and Virgo detectors at design sensitivity. Matched-filtering of gravitational-wave (GW…
Improving the background estimation technique in the GstLAL inspiral pipeline with the time-reversed template bank
Chiwai Chan, Kipp Cannon, Sarah Caudill +20
Background estimation is important for determining the statistical significance of a gravitational-wave event. Currently, the background model is constructed numerically from the s…
Overview of KAGRA : KAGRA science
KAGRA Collaboration, T. Akutsu, M. Ando +240
KAGRA is a newly build gravitational-wave observatory, a laser interferometer with 3 km arm length, located in Kamioka, Gifu, Japan. In this paper in the series of KAGRA-featured a…
An arm length stabilization system for KAGRA and future gravitational-wave detectors
T. Akutsu, M. Ando, K. Arai +198
Modern ground-based gravitational wave (GW) detectors require a complex interferometer configuration with multiple coupled optical cavities. Since achieving the resonances of the a…
Application of the independent component analysis to the iKAGRA data
KAGRA Collaboration, T. Akutsu, M. Ando +244
We apply the independent component analysis (ICA) to the real data from a gravitational wave detector for the first time. Specifically we use the iKAGRA data taken in April 2016, a…
First cryogenic test operation of underground km-scale gravitational-wave observatory KAGRA
KAGRA Collaboration, T. Akutsu, M. Ando +198
KAGRA is a second-generation interferometric gravitational-wave detector with 3-km arms constructed at Kamioka, Gifu in Japan. It is now in its final installation phase, which we c…