Jul 6 – 13, 2022
Bologna, Italy
Europe/Rome timezone

Identification of Beam Particles Using Detectors based on Cerenkov effect and Machine Learning in the COMPASS Experiment at CERN

Jul 8, 2022, 12:30 PM
Room 12 (Celeste)

Room 12 (Celeste)

Parallel Talk Computing and Data handling Computing and Data handling


František Voldřich (student)


Cerenkov Differential counters with Achromatic Ring focus (CEDARs) in the COMPASS experiment beamline were designed to identify particles in limited intensity beams with divergence below 65μrad. However, in the 2018 data taking, a beam with a 15 times higher intensity and a beam divergence of up to 300μrad was used, hence the standard data analysis method could not be used. A machine learning approach using neural networks was developed and examined on multiple Monte Carlo simulations. Different types of network were tested and their configurations optimized using a genetic algorithm with the best performing model being integrated into the current data analysis software written in C++.

In-person participation Yes

Primary authors

František Voldřich (student) Josef Novy (Czech Technical University in Prague, Czech Republic) Dr Marcin Stolarski Martin Zemko (Czech Technical University in Prague) Miroslav Virius (Czech Technical University in Prague, Czech Republic)

Presentation materials