Optical Cavity Inference Techniques for Low Noise Interferometry

Document #:

LIGO-P1900188-v2

Document type:

P - Publications

Abstract:

Gravitational waves are being detected more and more frequently by the Advanced LIGO interferometers due to the improvements made to their precision. To improve the rate at which we detect gravitational waves, one method would be to reduce the noise that is intrinsic to these signals, so that more signals can be extracted with confidence. To achieve this, a deeper understanding of the noise couplings that mask these signals is necessary. This project develops statistically rigorous methods of inferring interferometric parameters which govern these noise couplings using interferometer modeling software and Bayesian inference techniques.

Files in Document:

• LIGO Final Report 2019 - Jorge Ramirez-Ortiz.pdf (1.6 MB)

Other Files:

• Presentation_Aug22.pdf (2.6 MB)
• ProjectProposal.pdf (177.2 kB)
• poster used for talks & research fairs (JorgeRamirez_Interferometer_Inference_Poster.pdf, 1.5 MB)

Topics:

• Data and Computing

Authors:

• Jorge Ramirez
• Craig Cahillane
• Anchal Gupta
• Rana Adhikari

Keywords:

SURF19 Noise Bayesian Inference Modeling Simulation

Notes and Changes:

fixed document title/version, publication #, and typo

Referenced by:

• LIGO-T1900757: Final reports from LIGO SURF program, Summer 2019