Academic Journal

The performance of the jet identification and reconstruction in heavy ions collisions with CMS detector.

Bibliographic Details
Title: The performance of the jet identification and reconstruction in heavy ions collisions with CMS detector.
Authors: Kodolova, O., Vardanyan, I., Nikitenko, A., Oulianov, A.
Source: European Physical Journal C -- Particles & Fields; Mar2007, Vol. 50 Issue 1, p117-123, 7p, 18 Graphs
Subject Terms: Heavy ion collisions, Quark-gluon plasma, Quantum chromodynamics, Partons, Algorithms, Calorimetry
Abstract: A jet reconstruction algorithm is developed for events with a high particle density in the calorimetric system. The performance of the reconstruction of hard QCD jets with initial parton energies 50–300 GeV is studied in central Pb–Pb collisions with a modified cone jet finder which includes an algorithm for event-by-event background subtraction. The heavy ion background is simulated using the HIJING Monte Carlo generator with $\text{d} N_{\text{ch}}/\text{d} y\vert_{y=0} = 5000$ . Results on the achieved jet reconstruction efficiency, purity, energy and spatial resolution are presented. [ABSTRACT FROM AUTHOR]
Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  – Url: https://dx.doi.org/doi:10.1140/epjc/s10052-007-0223-9
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: The performance of the jet identification and reconstruction in heavy ions collisions with CMS detector.
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Kodolova%2C+O%2E%22">Kodolova, O.</searchLink><br /><searchLink fieldCode="AR" term="%22Vardanyan%2C+I%2E%22">Vardanyan, I.</searchLink><br /><searchLink fieldCode="AR" term="%22Nikitenko%2C+A%2E%22">Nikitenko, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Oulianov%2C+A%2E%22">Oulianov, A.</searchLink>
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  Data: European Physical Journal C -- Particles & Fields; Mar2007, Vol. 50 Issue 1, p117-123, 7p, 18 Graphs
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  Data: <searchLink fieldCode="DE" term="%22Heavy+ion+collisions%22">Heavy ion collisions</searchLink><br /><searchLink fieldCode="DE" term="%22Quark-gluon+plasma%22">Quark-gluon plasma</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+chromodynamics%22">Quantum chromodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Partons%22">Partons</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Calorimetry%22">Calorimetry</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A jet reconstruction algorithm is developed for events with a high particle density in the calorimetric system. The performance of the reconstruction of hard QCD jets with initial parton energies 50–300 GeV is studied in central Pb–Pb collisions with a modified cone jet finder which includes an algorithm for event-by-event background subtraction. The heavy ion background is simulated using the HIJING Monte Carlo generator with $\text{d} N_{\text{ch}}/\text{d} y\vert_{y=0} = 5000$ . Results on the achieved jet reconstruction efficiency, purity, energy and spatial resolution are presented. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1140/epjc/s10052-007-0223-9
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              Text: Mar2007
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