Speaker: Miłosz Zdybał

Title: “Machine learning based event reconstruction for the MUonE experiment”

Abstract:

Currently operating high energy physics experiments produce an ever-growing amounts of data, requiring new methods of fast and efficient event reconstruction. As storing the unprocessed data is not feasible, algorithms are needed, that would provide the quality known from the offline analysis, but now in strict time constraints of online processing. The MUonE experiment is developing and testing the machine learning based event reconstruction techniques in order to provide efficient online reduction of data and to maximise the statistical power of the final physics measurement.