Using Lasso Regression and the Glitch Rate of the LIGO Detectors to Increase Detector Range

Characterization of the Advanced LIGO detectors involves looking at detector output and searching for the underlying causes of transient noise that decrease the effective sensitive range for detection of gravitational waves. As such, analyzing certain such transient noise types, or "glitches", that appear regularly in both detectors is important. If a source or pattern to these glitches can be found, the sensitivity of both detectors can be improved through improvements to the components of the instruments that are responsible for the noise. In my research, I am attempting to find a correlation between the rate of certain glitches and the auxiliary sensors of the detectors that monitor the overall status of the detectors' components. Specifically, I perform lasso regression with the rate of certain glitches and the auxiliary sensors' data streams for particularly glitchy time periods.