Reconstruction of Hardronic Jets with Clustering Algorithms and Modern Statistical Methods of Data Analysis in High Energy Physics.

Autor: Iudin, A. S., Bogorosh, A. T., Voronov, S. O.
Předmět:
Zdroj: Naukovi visti NTUU - KPI; 2012, Vol. 84 Issue 4, p159-163, 5p
Abstrakt: In a wide range of statistical data processing in high energy physics jet clustering algortithms and applications for function minimization were used. The aim of the study is to validate the acceptability of the programs FastJet and MINUIT, that provide a powerful tool for finding jets from data and Monte Carlo models after the selection of events and for the subsequent approximation method of least squares. The study is performed using as an example a recent measurements of ZEUS experiment at the collider HERA, which conducted the collision of a proton with an energy of 920 GeV and an electron with an energy of 27,5 GeV. The extraction of the two-pion invariant mass distribution and the electromagnetic pion form factor ψ (2S) in the two-pion electroproduction with a mass in the range 0,4 < Mππ < 2,5 GeV is shown. Integrated luminosity of 82 pb-1 in the kinematic range of virtuality 2 < Q² < 80 GeV², the energy of the photon-proton center of mass of 32 < W < 180 GeV and squared momentum transfer |T| ≤ 0,6 GeV² was used. Good agreement within errors between measured data and theoretical calculations after jet selection and minimization indicate the reliability and acceptability of these programs. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index