Event reconstruction in the CBM experiment

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Title: Event reconstruction in the CBM experiment
Authors: Kisel, I.1 ikisel@kip.uni-heidelberg.de
Source: Nuclear Instruments & Methods in Physics Research Section A. Oct2006, Vol. 566 Issue 1, p85-88. 4p.
Subjects: Particles (Nuclear physics), Magnetic fields, Cellular automata, Kalman filtering
Abstract: Abstract: A typical central Au+Au collision in the CBM experiment (GSI, Germany) will produce up to 700 tracks in the inner tracker. The large track density together with the presence of a non-homogeneous magnetic field make reconstruction of events complicated. A cellular automaton method is used to reconstruct tracks in the inner tracker. Track and vertex fitting is done using the Kalman filter technique. A special analytic formula has been derived for fast track extrapolation in a non-homogeneous magnetic field. A standalone ring finding in the RICH detector is based on the elastic net method. Results of tests of the reconstruction procedure are presented. [Copyright &y& Elsevier]
Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. 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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DbLabel: Engineering Source
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  Data: Event reconstruction in the CBM experiment
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  Data: <searchLink fieldCode="AR" term="%22Kisel%2C+I%2E%22">Kisel, I.</searchLink><relatesTo>1</relatesTo><i> ikisel@kip.uni-heidelberg.de</i>
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  Data: <searchLink fieldCode="DE" term="%22Particles+%28Nuclear+physics%29%22">Particles (Nuclear physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+fields%22">Magnetic fields</searchLink><br /><searchLink fieldCode="DE" term="%22Cellular+automata%22">Cellular automata</searchLink><br /><searchLink fieldCode="DE" term="%22Kalman+filtering%22">Kalman filtering</searchLink>
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  Label: Abstract
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  Data: Abstract: A typical central Au+Au collision in the CBM experiment (GSI, Germany) will produce up to 700 tracks in the inner tracker. The large track density together with the presence of a non-homogeneous magnetic field make reconstruction of events complicated. A cellular automaton method is used to reconstruct tracks in the inner tracker. Track and vertex fitting is done using the Kalman filter technique. A special analytic formula has been derived for fast track extrapolation in a non-homogeneous magnetic field. A standalone ring finding in the RICH detector is based on the elastic net method. Results of tests of the reconstruction procedure are presented. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. 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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      – Type: doi
        Value: 10.1016/j.nima.2006.05.040
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Particles (Nuclear physics)
        Type: general
      – SubjectFull: Magnetic fields
        Type: general
      – SubjectFull: Cellular automata
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      – SubjectFull: Kalman filtering
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      – TitleFull: Event reconstruction in the CBM experiment
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              Text: Oct2006
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              Y: 2006
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