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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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Showing 2026Show all

7 papers · 1 filter

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…

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

Gauge Theoretic Signal Processing II: Zero-Latency Whitening for Early Warning Pipelines

James Kennington, Joshua Black, Zach Yarbrough +9

Low-latency gravitational-wave search pipelines provide early-warning alerts for multimessenger astrophysical transients. Current pipelines whiten the data stream using acausal, li…

gr-qc2026

Gauge Theoretic Signal Processing I: The Commutative Formalism for Single-Detector Adaptive Whitening

James Kennington, Joshua Black

We present a geometric framework for adaptive whitening in gravitational-wave detectors, reformulating the problem from a sequence of spectral factorizations to parallel transport…

gr-qc2026

Dual Cutler-Vallisneri Corrections: Mitigating PSD Drift in Zero-Latency Gravitational-Wave Searches

James Kennington

Maximizing pre-merger warning times in gravitational-wave searches requires minimizing algorithmic latency. While current pipelines typically rely on truncated linear-phase filters…