18–20 Feb 2016
University of Zurich, Irchel Campus
Europe/Zurich timezone

Classifiers for centrality determination in proton-nucleus and nucleus-nucleus collisions

19 Feb 2016, 09:40
20m
Y16 G15 (University of Zurich, Irchel Campus)

Y16 G15

University of Zurich, Irchel Campus

Speaker

Igor Altsybeev (St. Petersburg State University (RU))

Description

Centrality, as a geometrical property of the collision, is crucial for the physical interpretation of proton-nucleus and nucleus-nucleus experimental data. However, it cannot be directly accessed in event-by-event data analysis. Contemporary methods of the centrality estimation in A-A and p-A collisions usually rely on a single detector (either on the signal in zero-degree calorimeters or on the multiplicity in some semi-central rapidity range). In the present work, we develop an approach for centrality determination that is based on machine-learning techniques and utilizes information from several detector subsystems simultaneously. Different event classifiers are suggested and evaluated for their selectivity power in terms of the number of nucleons-participants and the impact parameter of the collision. The authors acknowledge Saint-Petersburg State University for a research grant 11.38.242.2015.

Author

Igor Altsybeev (St. Petersburg State University (RU))

Co-author

Vladimir Kovalenko (St. Petersburg State University (RU))

Presentation materials