Track Finding using Machine Learning at the COMET experiment

• Ewen Gillies

Room: 532 This talk details the use of BDTs to find tracks in in the COMET Cylindrical Drift Chamber. It is aimed to overlap with the Yandex PG lectures given here at Imperial on machine learning. Be sure to attend Ben Krikler's seminar at 4pm on Wednesday for a more through discussion of COMET's design and physics goal. The student seminar on Thursday will build from this talk, such that a very basic understanding of COMET will be assumed.