Connecting the dots: Using machine learning to better identify the particles produced by collision events

Hugo Maxime Chemli, Christoph Martin Madsen & Andrew Robert Purcell
Student: Antonio Carta: Keywords: machine learning, code modernisation, CMS, tracking, CERN openlab The particle detectors at CERN are like cathedral-sized 3D digital cameras, capable of recording hundreds of millions of collision events per second. The detectors consist of multiple ‘layers’ of detecting equipment, designed to recognise different types of charged particles produced by the collisions at the heart of the detector. As the charged particles fly outwards through the various layers of the detector, they...
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