collaborators

11 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…

gr-qc2026

Auto-encoder model for faster generation of effective one-body gravitational waveform approximations

Suyog Garg, Feng-Li Lin, Kipp Cannon

Upgrades to current gravitational wave detectors for the next observation run and upcoming third-generation observatories, like the Einstein telescope, are expected to have enormou…

gr-qc2026

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…