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astro-ph.IM2026

Learning Approximate Isometric Embeddings for Efficient Template Placement

Alexandra Wernersson, Jessica Irwin, Melissa Lopez +1

The sphere covering problem has broad applications in science however, exact solutions are computationally infeasible on curved, high-dimensional manifolds because distances must b…

gr-qc2026

Neural Network Guided Parameter Space Constraints for Gravitational Wave Searches from Binary Black Holes

Chetan Verma, Amit Reza, Gurudatt Gaur +2

The detection of gravitational waves (GWs) from compact binary coalescences (CBCs) using matched filtering is computationally demanding because detector data must be correlated wit…

gr-qc2026

Open Data from LIGO, Virgo, and KAGRA through the Second Part of the Fourth Observing Run

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1809

LIGO, Virgo, KAGRA, and GEO 600 form a network of gravitational-wave observatories. Data and analysis results from this network are made publicly available through the Gravitationa…

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…