Particle physics is a source of engineering challenges, also for Machine Learning techniques. We showcase three current uses of Machine Learning in the LHCb experiment, one of the four main experiments of the Large Hadron Collider (LHC) at CERN. Two are in the Real Time Analysis framework, which is in charge of processing the detector 4TB/s dataflow in real time: one to locate the points where particles issued from the accelerator collisions decay, and the other to ensure a smooth choice in the data to be stored. A third use is about speeding the detector simulation with generative techniques. In all three cases, computing speed is the key factor for using Machine Learning algorithms.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org