The aim of this undergraduate project is to reproduce the results of some journal literature using machine learning techniques to identify gravitational wave signals from noisy data. Depending on the progress, the student can perform some further exploration after reproducing the results, for example computing the false alarm rate for a machine learning approach for searching for gravitational wave. This project will take ~2 months, the student should write a brief report at the end. Some prerequisite knowledge on general relativity, gravitational waves, python programming and machine learning would be helpful.
Goals:
- [ ] Reproduce the results of a machine learning paper to find gravitational wave events, e.g.
