415 citations · 1.3k across the 27 of their papers we have counts for
6 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…
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…
Improving LIGO calibration accuracy by using time-dependent filters to compensate for temporal variations
Madeline Wade, Aaron D. Viets, Theresa Chmiel +2
The response of the Advanced LIGO interferometers is known to vary with time [arXiv:1608.05134]. Accurate calibration of the interferometers must therefore track and compensate for…
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…
Template bank for spinning compact binary mergers in the second observation run of Advanced LIGO and the first observation run of Advanced Virgo
Debnandini Mukherjee, Sarah Caudill, Ryan Magee +25
We describe the methods used to construct the aligned-spin template bank of gravitational waveforms used by the GstLAL-based inspiral pipeline to analyze data from the second obser…
Analysis Framework for the Prompt Discovery of Compact Binary Mergers in Gravitational-wave Data
Cody Messick, Kent Blackburn, Patrick Brady +24
We describe a stream-based analysis pipeline to detect gravitational waves from the merger of binary neutron stars, binary black holes, and neutron-star-black-hole binaries within…