activity
20242026
most citedToward Low-Latency, High-Fidelity Calibration of the LIGO Detectors with Enhanced Monitoring Tools

7 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

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…

gr-qc2026

No persuasive evidence yet of gravitational-wave tails from perturbers along the line of sight in LVK observations

Kuba Kopczuk, Ethan Blake, Matthew F. Carney +7

Observations of compact binary coalescences (CBCs) by the LIGO-Virgo-KAGRA collaboration resulted in 90 events in the first three observing runs. We search the data near the loudes…

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-qc20257 cited

Toward Low-Latency, High-Fidelity Calibration of the LIGO Detectors with Enhanced Monitoring Tools

M. Wade, J. Betzwieser, D. Bhattacharjee +8

Accurate and reliable calibration of the Advanced LIGO detectors has enabled a plethora of gravitational-wave discoveries in the detectors' first decade of operation, starting with…

gr-qc2024

Template bank for sub solar mass compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA

Chad Hanna, James Kennington, Wanting Niu +38

Matched-filtering searches for gravitational-wave signals from compact binary mergers employ template banks which are a collection of modeled waveforms described by unique intrinsi…