Blue Energy

Title: Harvesting Wave energy
Faculty Mentor: Dr. Yingchen Yang

The LIGO BayesWave algorithm is capable of fitting the non-stationary LIGO noise, identifying glitch events, and calculating the Bayes factor, or odds ratio, for the identification of a marginal gravitational wave signal. Participants will have the opportunity to use BayesWave techniques to study simulated LIGO data in this comprehensive approach. Parameter estimation techniques using Markov Chain Monte Carlo (MCMC) machinery will be used to determine LIGO noise characteristics and the parameters of glitches in the data. The participants will then search data with injected burst sources of gravitational waves to demonstrate the detection capability of the BayesWave algorithm.