TY  - THES
A1  - Zyzak, Maksym
T1  - Online selection of short-lived particles on many-core computer architectures in the CBM experiment at FAIR
N2  - Modern experiments in heavy ion collisions operate with huge data rates that can not be fully stored on the currently available storage devices. Therefore the data flow should be reduced by selecting those collisions that potentially carry the information of the physics interest. The future CBM experiment will have no simple criteria for selecting such collisions and requires the full online reconstruction of the collision topology including reconstruction of short-lived particles.
In this work the KF Particle Finder package for online reconstruction and selection of short-lived particles is proposed and developed. It reconstructs more than 70 decays, covering signals from all the physics cases of the CBM experiment: strange particles, strange resonances, hypernuclei, low mass vector mesons, charmonium, and open-charm particles.
The package is based on the Kalman filter method providing a full set of the particle parameters together with their errors including position, momentum, mass, energy, lifetime, etc. It shows a high quality of the reconstructed particles, high efficiencies, and high signal to background ratios.
The KF Particle Finder is extremely fast for achieving the reconstruction speed of 1.5 ms per minimum-bias AuAu collision at 25 AGeV beam energy on single CPU core. It is fully vectorized and parallelized and shows a strong linear scalability on the many-core architectures of up to 80 cores. It also scales within the First Level Event Selection package on the many-core clusters up to 3200 cores.
The developed KF Particle Finder package is a universal platform for short- lived particle reconstruction, physics analysis and online selection.
KW  - Short-lived particles
KW  - Kalman filter
KW  - Many-core computer architectures
KW  - High energy physics
KW  - Parallel and SIMD calculations
Y1  - 2015
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/41428
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-414288
CY  - Frankfurt am Main
ER  -