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20222026
most citedImproved ranking statistics of the GstLAL inspiral search for compact binary coalescences

53 citations · 87 across the 19 of their papers we have counts for

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astro-ph.IM2026

SGN: A python framework for stream-processing pipelines

Yun-Jing Huang, Olivia Godwin, Chad Hanna +11

We present the Stream Graph Navigator (SGN), a lightweight Python framework for building streaming data applications. In SGN, stream-processing pipelines are built by connecting co…

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…

astro-ph.IM2026

Fisher Information Velocity: A New Geometric Channel for Precision Glitch Identification in Gravitational-Wave Detectors

James Kennington, Zach Yarbrough

Gravitational-wave detectors operate in inherently non-stationary environments, requiring robust detector characterization (DetChar) to distinguish instrumental transients from ast…

astro-ph.IM2025

SGNL: Scalable Low-Latency Gravitational Wave Detection Pipeline for Compact Binary Mergers

Yun-Jing Huang, Chad Hanna, Leo Tsukada +8

We present SGNL, a scalable, low-latency gravitational-wave search pipeline. It reimplements the core matched-filtering principles of the GstLAL pipeline within a modernized framew…

astro-ph.IM2023★ 53 cited

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…