Online Detector Characterization using Neural Networks

Document #:

LIGO-T1700198-v1

Document type:

T - Technical notes

Abstract:

Clustering and Classification to characterize the noise in the auxilliary and environmental interferometer channels

Files in Document:

• Final Report (FinalReport.pdf, file is not accessible)

Other Files:

• Proposal.pdf (file is not accessible)
• Interim Report 1 (interim_report1.pdf, file is not accessible)
• Interim Report 2 (interim_report2.pdf, file is not accessible)
• Presentation (Presentation.pdf, file is not accessible)

Topics:

• Seismic Isolation
• Data and Computing
• Basic R&D
• State Control and Monitoring
• Sensing and Control

Authors:

• Roxana Popescu
• Rana Adhikari
• Thomas Massinger
• Jess McIver

Keywords:

SURF17 clustering classification neural tensorflow keras kmeans

Referenced by:

• LIGO-T1800048: Final reports from LIGO SURF program, Summer 2017