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, 3.5 MB)

Other Files:

• Proposal.pdf (260.4 kB)
• Interim Report 1 (interim_report1.pdf, 2.1 MB)
• Interim Report 2 (interim_report2.pdf, 1.9 MB)
• Presentation (Presentation.pdf, 2.8 MB)

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

Associated with Events:

held from 24 Aug 2017 to 25 Aug 2017 in SCR, LHO, LLO, TEAMSPEAK: We will use "LIGO Seminar",