Machine Learning Applied at the LHC for Beam Loss Pattern Classification
Machine Learning Applied at the LHC for Beam Loss Pattern Classification is a scholarly work, published in 2018 in ''Journal of Physics: Conference Series''. The main subjects of the publication include free-electron laser, beam, physics, particle detector, magnet, collimated light, Large Hadron Collider, downtime, machine learning, superconducting magnet, computer science, and particle physics. The study shows the result of the beam loss classification and its retrospective application to beam loss data from the 2017 run.