60 citations · 79 across the 19 of their papers we have counts for
19 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
GW231109_235456: A Sub-threshold Binary Neutron Star Merger in the LIGO-Virgo-KAGRA O4a Observing Run?
Wanting Niu, Carl-Johan Haster, Jolien D. E. Creighton +25
We present a sub-threshold search for gravitational-wave inspirals from binary neutron stars using data from the first part of the fourth LIGO--Virgo--KAGRA observing run. To enhan…
New Methods for Offline GstLAL Analyses
Prathamesh Joshi, Leo Tsukada, Chad Hanna +38
In this work, we present new methods implemented in the GstLAL offline gravitational wave search. These include a technique to reuse the matched filtering data products from a GstL…
How Many Times Should We Matched Filter Gravitational Wave Data? A Comparison of GstLAL's Online and Offline Performance
Prathamesh Joshi, Wanting Niu, Chad Hanna +34
Searches for gravitational waves from compact binary coalescences employ a process called matched filtering, in which gravitational wave strain data is cross-correlated against a b…
PINCH: Pipeline-Informed Noise Characterization in LIGO's Third Observing Run
Zach Yarbrough, Andre Guimaraes, Prathamesh Joshi +2
We present a method to identify and categorize gravitational wave candidate triggers identified by matched filtering gravitational wave searches (pipelines) caused by transient noi…
Performance of iDQ ahead of LIGO, Virgo, and KAGRA's fourth observing run
Rachael Huxford, Richard George, Max Trevor +2
The gravitational wave detectors used by the LIGO Scientific Collaboration, and the Virgo Collaboration are incredibly sensitive instruments which frequently detect non-stationary,…
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…
Scalable matched-filtering pipeline for gravitational-wave searches of compact binary mergers
Yun-Jing Huang, Chad Hanna, Becca Ewing +11
As gravitational-wave observations expand in scope and detection rate, the data analysis infrastructure must be modernized to accommodate rising computational demands and ensure su…
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…
Direct Analysis of the Broad-Line SN 2019ein: Connection with the Core-Normal SN 2011fe
Zach Yarbrough, E. Baron, James M. DerKacy +3
Type Ia supernovae (SNe Ia) are important cosmological probes and contributors to galactic nucleosynthesis, particularly of the iron group elements. To improve both their reliabili…
SN 2021fxy: Mid-Ultraviolet Flux Suppression is a Common Feature of Type Ia Supernovae
J. M. DerKacy, S. Paugh, E. Baron +26
We present ultraviolet (UV) to near-infrared (NIR) observations and analysis of the nearby Type Ia supernova SN 2021fxy. Our observations include UV photometry from Swift/UVOT, UV…