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20222026
most citedLIGO Detector Characterization in the first half of the fourth Observing run

60 citations · 79 across the 19 of their papers we have counts for

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astro-ph.IM2026

LIGO Detector Characterization in the Second and Third Parts of the Fourth Observing Run

J. Glanzer, A. F. Helmling-Cornell, A. Calafat +244

LIGO detector characterization efforts enabled the confident detection of gravitational waves from hundreds of compact binary coalescences during the fourth observing run. Reliable…

astro-ph.IM2026

SGNAX: a unified matched-filter and excess-power pipeline for gravitational-wave detector characterization

Zach Yarbrough, Olivia Godwin, Derek Davis +1

We present SGNAX, an open-source pipeline for gravitational-wave detector characterization that delivers matched-filter and excess-power transient triggers from a single streaming…

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.IM2026

Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit

Derek Davis, Zach Yarbrough, Joseph Areeda +30

We present the Data Quality Report Builder toolkit, DQRbuild, a suite of data quality tools that have been developed to vet gravitational-wave events in preparation for the fourth…

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.IM2024★ 60 cited

LIGO Detector Characterization in the first half of the fourth Observing run

S. Soni, B. K. Berger, D. Davis +232

Progress in gravitational-wave astronomy depends upon having sensitive detectors with good data quality. Since the end of the LIGO-Virgo-KAGRA third Observing run in March 2020, de…