title: Classifiers for centrality determination in proton-nucleus and  nucleus-nucleus collisions
metadata.name: dc.contributor.author
metadata.value: Igor Altsybeev
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vladimir Kovalenko
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-05-20T03:23:18Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-05-20T03:23:18Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-03-22
metadata.lang: -
metadata.name: dc.identifier
metadata.value: 10.1051/epjconf/201713711001
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: EPJ Web Conf. 137, 13007 (2017)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: DOI:10.1051/epjconf/201713711001
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: https://www.epj-conferences.org/articles/epjconf/abs/2017/06/epjconf_conf2017_11001/epjconf_conf2017_11001.html
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/6376
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Centrality, as a geometrical property of the collision, is crucial for the physical interpretation of nucleus-nucleus and proton-nucleus experimental data. However, it cannot be directly accessed in event-by-event data analysis. Common methods for 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 made an attempt to 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. Finer centrality resolution may allow to reduce impact from so-called volume fluctuations on physical observables being studied in heavy-ion experiments like ALICE at the LHC and fixed target experiment NA61/SHINE on SPS.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Physics - Data Analysis; Statistics and Probability
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Nuclear Experiment
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Statistics - Machine Learning
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Classifiers for centrality determination in proton-nucleus and  nucleus-nucleus collisions
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: epjconf_conf2017_11001.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/6376/1/epjconf_conf2017_11001.pdf
resources.format: Adobe PDF
resources.size: 1,8 MB