535 citations · 835 across the 25 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…