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A Monte-Carlo study of the inner tracking system main characteristics for multi purpose particle detector MPD
- Source :
- Компьютерные исследования и моделирование, Vol 11, Iss 1, Pp 87-94 (2019)
- Publication Year :
- 2019
- Publisher :
- Institute of Computer Science, 2019.
-
Abstract
- At present, the accelerator complex NICA is being built at JINR (Dubna). It is intended for performing experiments to study interactions of relativistic nuclei and polarized particles (protons and deuterons). One of the experimental facilitues MPD (MultiPurpose Detector) was designed to investigate nucleus-nucleus, protonnucleus and proton-proton interactions. The existing plans of future MPD upgrade consider a possibility to install an inner tracker made of the new generation silicon pixel sensors. It is expected that such a detector will considerably enhance the research capability of the experiment both for nucleus-nucleus interactions (due to a high spatial resolution near the collision region) and proton-proton ones (due to a fast detector response). This paper presents main characteristics of such a tracker, obtained using a Monte-Carlo simulation of the detector for proton-proton collisions. In particular, the detector ability to reconstruct decay vertices of short-lived particles and perform a selection of rare events of such decays from much more frequent "common" interactions are evaluated. Also, the problem of a separation of multiple collisions during the high luminosity accelerator running and the task of detector triggering on rare events are addressed. The results obtained can be used to justify the necessity to build such a detector and to develop a high-level trigger system, possibly based on machine learning techniques.
- Subjects :
- business.industry
Computer science
Physics::Instrumentation and Detectors
charmed particles
lcsh:T57-57.97
lcsh:Mathematics
Monte Carlo method
Nuclear Theory
secondary vertex
Tracking system
Monte-Carlo simulation
lcsh:QA1-939
Particle detector
Computer Science Applications
Computational physics
Computational Theory and Mathematics
Modeling and Simulation
lcsh:Applied mathematics. Quantitative methods
Physics::Accelerator Physics
High Energy Physics::Experiment
business
Nuclear Experiment
silicon pixel detector
Subjects
Details
- Language :
- Russian
- ISSN :
- 20776853 and 20767633
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Компьютерные исследования и моделирование
- Accession number :
- edsair.doi.dedup.....48c706e32da1a9392e43384dda4e59a0