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From the 1 of 19 linked papers with an AI index.

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20242026
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19 papers

gr-qc2026

Evaluating KAGRA upgrade scenarios for multimessenger observations of binary neutron stars

Yuta Michimura, Soichiro Morisaki, Kenta Hotokezaka +1

The paper presents a fast method to assess how different KAGRA detector upgrades will affect the ability to locate binary neutron star mergers for multimessenger astronomy, compari…

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

Ringdown Analysis of GW250114 with Orthonormal Modes

Motoki Suzuki, Kei-ichiro Kubota, Soichiro Morisaki +2

GW250114 is the loudest gravitational-wave event to date observed by the LIGO-Virgo-KAGRA Collaboration. Owing to its high signal-to-noise ratio (SNR), previous analyses based on q…