|Thursday 24 January 2019|
|Events for day: Monday 10 September 2018|
| 11:00 - 12:00 Experimental Journal Club|
Pileup Mitigation with Machine Learning (PUMML)
PARTICLES AND ACCELERATORS
Pileup involves the contamination of the energy distribution arising from the primary collision of interest (leading vertex) by radiation from soft collisions (pileup). We develop a new technique for removing this contamination using machine learning and con- volutional neural networks. The network takes as input the energy distribution of charged leading vertex particles, charged pileup particles, and all neutral particles and outputs the energy distribution of particles coming from leading vertex alone. The PUMML algorithm performs remarkably well at eliminating pileup distortion on a wide range o ...