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These documents on
Machine Learning
(subtopic of
Data Analysis
) are available:
(List
events
on Machine Learning)
LIGO-Number
Title
Author(s)
Topic(s)
Last Updated
G2401339-v1
Modeling Gravitational-wave (GW) waveforms based on Machine learning (ML)
Kexuan Wu
Machine Learning
25 Jun 2024
G2401326-v6
UBC/TRIUMF update for GWANW 2024
Jess McIver
Astrophysics / Multi-messenger
Detector Characterization
Data quality / vetoes
Detector
Machine Learning
Compact Binaries
Core Optics
Calibration
Continuous Wave
Data Analysis
Data analysis software
Computing/archiving
25 Jun 2024
P2300288-v3
Rapid neutron star equation of state inference with Normalising Flows
Jordan McGinn
et al.
Astrophysics / Multi-messenger
Machine Learning
Compact Binaries
18 Apr 2024
T2300288-v1
Implementing Nonlinear Control in a Classical Experiment to Reduce Measurement Noise
Andrei Diaconu
et al.
Machine Learning
State Control and Monitoring
03 Apr 2024
T2300219-v1
Identifying Correlations in Precessing Gravitational-Wave Signals with Machine Learning
Karen Kang
et al.
Machine Learning
Compact Binaries
Data Analysis
03 Jan 2024
T2300147-v2
LIGO Seismic State Characterization using Machine Learning Techniques
Isaac Kelly
et al.
Machine Learning
State Control and Monitoring
30 Oct 2023
P2300230-v2
Improving our ability to distinguish gravitational-wave signals from detector transient noise for the fourth LIGO-Virgo-KAGRA observing run
Sofia Alvarez
Detector Characterization
Thesis/Dissertation
Machine Learning
15 Jul 2023
G2301235-v2
O-LIGO Update for GWANW 2023
Benjamin Farr
et al.
Astrophysics / Multi-messenger
Detector Characterization
Machine Learning
Compact Binaries
Data analysis software
28 Jun 2023
G2301233-v2
UBC/TRIUMF update for GWANW
Jess McIver
Astrophysics / Multi-messenger
Detector Characterization
Detector
Machine Learning
Compact Binaries
Meeting
Calibration
Continuous Wave
Data Analysis
Data analysis software
27 Jun 2023
T2200196-v1
Developing Deep Learning Solutions for Lock Acquisition
Peter Ma
et al.
Machine Learning
Commissioning
Sensing and Control
10 Mar 2023
T2200207-v3
Identifying Witnesses to LIGO Glitches Using Auxiliary Channels
Luis Bariuan
et al.
Machine Learning
20 Sep 2022
T2000181-v3
Nonlinear Regression of Technical Noise in LIGO with Machine Learning
Rana Adhikari
et al.
Detector Characterization
Machine Learning
Basic R&D
25 Oct 2021
T2000390-v4
Machine Learning Applications in Gravitational Wave Detection to Reduce Noise
Nadezhda Dimitrova
et al.
Detector Characterization
Data quality / vetoes
Machine Learning
Data Analysis
02 Dec 2020
G1901483-v6
Source-classification and source-properties computation in low-latency
Shaon Ghosh
Astrophysics / Multi-messenger
Machine Learning
GW source predictions
Compact Binaries
15 Aug 2019
T1800282-v1
Utilizing Machine Learning to Improve Searches for LIGO Sources
Sarah McCarthy
et al.
Detector Characterization
Machine Learning
Compact Binaries
30 Mar 2019
T1800288-v4
Sub-Classification of Blip Glitches Using Q-Transforms and Convolutional Neural Networks with GravitySpy
Melissa Kohl
et al.
Detector Characterization
Data quality / vetoes
Machine Learning
Data analysis software
30 Mar 2019
L1900080-v1
GW Cloud: Executive Summary
Paul Lasky
et al.
Machine Learning
GW source predictions
Compact Binaries
Data analysis software
Computing/archiving
26 Feb 2019
Number of documents found: 17
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