Machine learning for lock loss analysis

Document #:

LIGO-G1701409-v1

Document type:

G - Presentations (eg Graphics)

Abstract:

Attempting to determine the causes of aLIGO detector lock losses using linear regression for binary classification, and clustering.

Presented to the Control Systems Working Group (CSWG), July 20, 2017

Files in Document:

• main.pdf (544.5 kB)

Topics:

• Detector Characterization
• State Control and Monitoring
• Sensing and Control

Authors:

• Jameson Graef Rollins

Keywords:

machine-learning lockloss

Referenced by:

• LIGO-T1900370-v7: Understanding interferometer lock losses with machine learning