collaborators

6 papers

astro-ph.IM2026

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…

gr-qc2026

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…

gr-qc2026

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…

gr-qc2026

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…

astro-ph.IM2026

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…

gr-qc2025

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…