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Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC

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Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC. / Bouhova-Thacker, Eva; The ATLAS collaboration.
In: IEEE Transactions on Nuclear Science, Vol. 57, No. 2, 04.2010, p. 760-767.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Bouhova-Thacker, E & The ATLAS collaboration 2010, 'Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC', IEEE Transactions on Nuclear Science, vol. 57, no. 2, pp. 760-767. https://doi.org/10.1109/TNS.2010.2040752

APA

Vancouver

Bouhova-Thacker E, The ATLAS collaboration. Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC. IEEE Transactions on Nuclear Science. 2010 Apr;57(2):760-767. doi: 10.1109/TNS.2010.2040752

Author

Bouhova-Thacker, Eva ; The ATLAS collaboration. / Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC. In: IEEE Transactions on Nuclear Science. 2010 ; Vol. 57, No. 2. pp. 760-767.

Bibtex

@article{e129f1b6c59943a0b65cc65fc49c63fa,
title = "Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC",
abstract = "In the harsh environment of the Large Hadron Collider at CERN (design luminosity of 10(34) cm(-2) s(-1)) efficient reconstruction of vertices is crucial for many physics analyses. Described in this paper is the expected performance of the vertex reconstruction used in the ATLAS experiment. The algorithms for the reconstruction of primary and secondary vertices as well as for finding photon conversions and vertex reconstruction in jets are described. The implementation of vertex algorithms which follows a very modular design based on object-oriented C++ is presented. A user-friendly concept allows event reconstruction and physics analyses to compare and optimize their choice among different vertex reconstruction strategies. The performance of implemented algorithms has been studied on a variety of Monte Carlo samples and results are presented.",
keywords = "Data analysis, data reconstruction, high energy physics, pattern recognition, reconstruction algorithms, tracking, vertex detectors",
author = "Eva Bouhova-Thacker and {The ATLAS collaboration}",
year = "2010",
month = apr,
doi = "10.1109/TNS.2010.2040752",
language = "English",
volume = "57",
pages = "760--767",
journal = "IEEE Transactions on Nuclear Science",
issn = "0018-9499",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "2",

}

RIS

TY - JOUR

T1 - Expected Performance of Vertex Reconstruction in the ATLAS Experiment at the LHC

AU - Bouhova-Thacker, Eva

AU - The ATLAS collaboration

PY - 2010/4

Y1 - 2010/4

N2 - In the harsh environment of the Large Hadron Collider at CERN (design luminosity of 10(34) cm(-2) s(-1)) efficient reconstruction of vertices is crucial for many physics analyses. Described in this paper is the expected performance of the vertex reconstruction used in the ATLAS experiment. The algorithms for the reconstruction of primary and secondary vertices as well as for finding photon conversions and vertex reconstruction in jets are described. The implementation of vertex algorithms which follows a very modular design based on object-oriented C++ is presented. A user-friendly concept allows event reconstruction and physics analyses to compare and optimize their choice among different vertex reconstruction strategies. The performance of implemented algorithms has been studied on a variety of Monte Carlo samples and results are presented.

AB - In the harsh environment of the Large Hadron Collider at CERN (design luminosity of 10(34) cm(-2) s(-1)) efficient reconstruction of vertices is crucial for many physics analyses. Described in this paper is the expected performance of the vertex reconstruction used in the ATLAS experiment. The algorithms for the reconstruction of primary and secondary vertices as well as for finding photon conversions and vertex reconstruction in jets are described. The implementation of vertex algorithms which follows a very modular design based on object-oriented C++ is presented. A user-friendly concept allows event reconstruction and physics analyses to compare and optimize their choice among different vertex reconstruction strategies. The performance of implemented algorithms has been studied on a variety of Monte Carlo samples and results are presented.

KW - Data analysis

KW - data reconstruction

KW - high energy physics

KW - pattern recognition

KW - reconstruction algorithms

KW - tracking

KW - vertex detectors

U2 - 10.1109/TNS.2010.2040752

DO - 10.1109/TNS.2010.2040752

M3 - Journal article

VL - 57

SP - 760

EP - 767

JO - IEEE Transactions on Nuclear Science

JF - IEEE Transactions on Nuclear Science

SN - 0018-9499

IS - 2

ER -