The ATLAS Simulation Infrastructure

Abstract

The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

References

  1. 1.

    G. Aad et al., The ATLAS experiment at the CERN Large Hadron Collider. J. Instrum. 3, S08003 (2008)

    Article  Google Scholar 

  2. 2.

    L. Evans, The Large Hadron Collider. New J. Phys. 9, 335 (2007)

    Article  ADS  Google Scholar 

  3. 3.

    ATLAS Collaboration, ATLAS computing technical design report. ATLAS-TDR-017, CERN-LHCC-2005-022 (2005). See also http://atlas-computing.web.cern.ch/atlas-computing/packages/athenaCore/athenaCore.php

  4. 4.

    S. Agostinelli et al., Geant4—a simulation toolkit. Nucl. Instrum. Methods Phys. Res. A 506, 250–303 (2003)

    Article  ADS  Google Scholar 

  5. 5.

    J. Allison et al., Geant4 developments and applications. IEEE Trans. Nucl. Sci. 53, 270–278 (2006)

    Article  ADS  Google Scholar 

  6. 6.

    M. Cattaneo et al., Status of the GAUDI event-processing framework, in Computing in High Energy and Nuclear Physics 2001 Conference (CHEP2001), IHEP, Beijing, China, September 3–7, 2001, ed. by H.S. Chen, (e-article, 2001)

  7. 7.

    G. Barrand et al., GAUDI—a software architecture and framework for building LHCb data processing applications, in Computing in High Energy and Nuclear Physics 2000 Conference (CHEP2000), ed. by M. Mazzucato, Pavia, Italy, February 7–11, 2000 (Padua, INFN, 2000)

    Google Scholar 

  8. 8.

    L. Lonnblad, CLHEP: a project for designing a C++ class library for high-energy physics. Comput. Phys. Commun. 84, 307–316 (1994)

    Article  ADS  Google Scholar 

  9. 9.

    E. Obreshkov et al., Organization and management of ATLAS offline software releases. Nucl. Instrum. Methods A 584, 244–251 (2008)

    Article  ADS  Google Scholar 

  10. 10.

    CLOC—Count Lines of Code, http://cloc.sourceforge.net, 2006

  11. 11.

    D. Dullmann et al., POOL development status and plans, in Computing in High Energy and Nuclear Physics 2004 (CHEP2004), ed. by A. Aimar, J. Harvey, N. Knoors, Interlaken, Switzerland, September 27–October 1, 2004 (CERN, Geneva, 2004)

    Google Scholar 

  12. 12.

    R. Chytracek et al., POOL development status and production experience. IEEE Trans. Nucl. Sci. 52, 2827–2831 (2005)

    Article  ADS  Google Scholar 

  13. 13.

    D. Duellmann, The LCG POOL project, general overview and project structure, in Computing in High Energy and Nuclear Physics 2003 (CHEP2003), La Jolla, CA, March 24–28, 2003. (CERN, Geneva, 2003). physics/0306129

    Google Scholar 

  14. 14.

    M. Dobbs, J.B. Hansen, The HepMC C++ Monte Carlo event record for high energy physics. Comput. Phys. Commun. 134, 41–46 (2001)

    Article  ADS  Google Scholar 

  15. 15.

    M. Grothe et al., Architecture of the ATLAS high level trigger event selection software. Nucl. Instrum. Methods Phys. Res. A 518, 537–541 (2003). In Proceedings of the 2003 Conference for Computing in High Energy and Nuclear Physics, La Jolla, CA, USA, 24–28 March 2003

    Google Scholar 

  16. 16.

    V. Boisvert et al., Final report of the ATLAS reconstruction task force. ATL-SOFT-2003-010 (2003)

  17. 17.

    I. Bird et al. (eds.), LHC computing Grid. Technical design report, CERN-LHCC-2005-024 (2005)

  18. 18.

    P. Nevski, Large scale data movement on the GRID, (2006)

  19. 19.

    M. Branco et al., Managing ATLAS data on a petabyte-scale with DQ2. J. Phys. Conf. Ser. 119, 062017 (2007). In Proceedings of Computing in High Energy and Nuclear Physics 2007 Conference (CHEP2007), Victoria, BC, Canada, September 2–7, 2007, ed. R. Sobie, R. Tafirout, J. Thomson

    Article  ADS  Google Scholar 

  20. 20.

    T. Sjöstrand, S. Mrenna, P. Skands, PYTHIA 6.4 physics and manual. J. High Energy Phys. 05, 026 (2006). hep-ph/0603175

    Article  ADS  Google Scholar 

  21. 21.

    M. Smizanska, S.P. Baranov, J. Hrivnac, E. Kneringer, Overview of Monte Carlo simulations for ATLAS B-physics in the period 1996–1999. ATL-PHYS-2000-025 (2000)

  22. 22.

    C. Anastopoulos et al., Physics analysis tools for beauty physics in ATLAS. J. Phys. Conf. Ser. 119, 032003 (2007). In Proceedings of Computing in High Energy and Nuclear Physics 2007 Conference (CHEP2007), Victoria, BC, Canada, September 2–7, 2007, ed. R. Sobie, R. Tafirout, J. Thomson

    Article  ADS  Google Scholar 

  23. 23.

    G. Marchesini, B.R. Webber, G. Abbiendi, I.G. Knowles, M.H. Seymour, L. Stanco, HERWIG: a Monte Carlo event generator for simulating hadron emission reactions with interfering gluons. Version 5.1, April 1991. Comput. Phys. Commun. 67, 465 (1992)

    Article  ADS  Google Scholar 

  24. 24.

    G. Corcella et al., HERWIG 6: an event generator for hadron emission reactions with interfering gluons (including supersymmetric processes). J. High Energy Phys. 01, 010 (2001). hep-ph/0011363

    Article  ADS  Google Scholar 

  25. 25.

    G. Corcella et al., HERWIG 6.5 release note. CERN-TH/2002-270 (2005). hep-ph/0210213v2

  26. 26.

    T. Gleisberg et al., SHERPA 1.alpha, a proof-of-concept version. J. High Energy Phys. 02, 056 (2004). hep-ph/0311263

    Article  ADS  Google Scholar 

  27. 27.

    M. Gyulassy, X.N. Wang, HIJING 1.0: a Monte Carlo program for parton and particle production in high-energy hadronic and nuclear collisions. Comput. Phys. Commun. 83, 307 (1994). nucl-th/9502021

    Article  ADS  Google Scholar 

  28. 28.

    M.L. Mangano et al., ALPGEN, a generator for hard multiparton processes in hadronic collisions. J. High Energy Phys. 07, 001 (2003). hep-ph/0206293

    Article  ADS  Google Scholar 

  29. 29.

    S. Frixione, P. Nason, B.R. Webber, Matching NLO QCD and parton showers in heavy flavour production. J. High Energy Phys. 08, 007 (2003). hep-ph/0305252

    Article  ADS  Google Scholar 

  30. 30.

    B.P. Kersevan, E. Richter-Was, The Monte Carlo event generator AcerMC version 2.0 with interfaces to PYTHIA 6.2 and HERWIG 6.5 (2004). hep-ph/0405247

  31. 31.

    S. Jadach, J.H. Kuhn, Z. Was, TAUOLA: a Library of Monte Carlo programs to simulate decays of polarized tau leptons. Comput. Phys. Commun. 64, 275–299 (1990)

    Article  ADS  Google Scholar 

  32. 32.

    E. Barberio, B. van Eijk, Z. Was, PHOTOS: a universal Monte Carlo for QED radiative corrections in decays. Comput. Phys. Commun. 66, 115–128 (1991)

    MATH  Article  ADS  Google Scholar 

  33. 33.

    D.J. Lange, The EvtGen particle decay simulation package. Nucl. Instrum. Methods A 462, 152–155 (2001)

    Article  ADS  Google Scholar 

  34. 34.

    F.E. Paige, S.D. Protopopescu, H. Baer, X. Tata, ISAJET 7.69: a Monte Carlo event generator for p p, anti-p p, and e+ e- reactions (2003). hep-ph/0312045

  35. 35.

    T. Sjöstrand, S. Mrenna, P. Skands, A brief introduction to PYTHIA 8.1. Comput. Phys. Commun. 178, 852–867 (2008). 0710.3820 [hep-ph]

    MATH  Article  ADS  Google Scholar 

  36. 36.

    M. Bahr et al., Herwig++ physics and manual. Eur. Phys. J. C 58, 639–707 (2008). 0803.0883 [hep-ph]

    Article  ADS  Google Scholar 

  37. 37.

    T. Stelzer, W.F. Long, Automatic generation of tree level helicity amplitudes. Comput. Phys. Commun. 81, 357–371 (1994). hep-ph/9401258

    Article  ADS  Google Scholar 

  38. 38.

    C.M. Harris, P. Richardson, B.R. Webber, CHARYBDIS: a black hole event generator. J. High Energy Phys. 08, 033 (2003). hep-ph/0307305

    Article  ADS  Google Scholar 

  39. 39.

    E. Boos et al. (CompHep Collaboration), CompHEP 4.4: Automatic computations from Lagrangians to events. Nucl. Instrum. Methods A 534, 250 (2004). hep-ph/0403113

    Article  ADS  Google Scholar 

  40. 40.

    A. Pukhov et al., CompHEP—a package for evaluation of Feynman diagrams and integration over multi-particle phase space. User’s manual for version 3.3. INP MSU report 98-41/542 (1999). hep-ph/9908288. See also http://comphep.sinp.msu.ru

  41. 41.

    T. Sjöstrand et al., in Z Physics at LEP 1, vol. 3 (Geneva, 1989), p. 143

  42. 42.

    A. Moraes, C. Buttar, I. Dawson, Prediction for minimum bias and the underlying event at LHC energies. Eur. Phys. J. C 50, 435–466 (2007)

    Article  ADS  Google Scholar 

  43. 43.

    A. Moraes, C. Buttar, I. Dawson, Comparison of predictions for minimum bias event generators and consequences for ATLAS radiation background. ATL-PHYS-2003-020 (2002)

  44. 44.

    V.M. Abazov et al. (DZero Collaboration), Search for large extra dimensions in the monojet + MET channel with the DZero detector. Phys. Rev. Lett. 90, 251802 (2003). hep-ex/0302014

    Article  ADS  Google Scholar 

  45. 45.

    T. Aaltonen et al. (CDF Collaboration), Measurement of the inclusive jet cross section at the Fermilab Tevatron p anti-p collider using a cone-based jet algorithm. Phys. Rev. D 78, 052006 (2008)

    Article  ADS  Google Scholar 

  46. 46.

    R. Field, R.C. Group (CDF Collaboration), PYTHIA Tune A, HERWIG, and JIMMY in Run 2 at CDF, CDF-ANAL-CDF-PUBLIC-7822 (2005). hep-ph/0510198

  47. 47.

    E. Norrbin, T. Sjostrand, Production and hadronization of heavy quarks. Eur. Phys. J. C 17, 137–161 (2000). hep-ph/0005110

    Article  ADS  Google Scholar 

  48. 48.

    A. Moraes, in Proceedings of the First International Workshop on Multiple Partonic Interactions at the LHC (MPI@LHC08), Perugia, Italy, October 27–31, 2008, ed. by P. Bartalini, L. Fano (DESY-PROC, 2008), to appear

  49. 49.

    A.A. Affolder et al. (CDF Collaboration), Charged jet evolution and the underlying event in \(p\bar{p}\) collisions at 1.8 TeV. Phys. Rev. D 65, 092002 (2002)

    Article  ADS  Google Scholar 

  50. 50.

    D.E. Acosta et al. (CDF Collaboration), The underlying event in hard interactions at the Tevatron \(\bar{p}p\) collider. Phys. Rev. D 70, 072002 (2004) hep-ex/0404004

    Article  ADS  Google Scholar 

  51. 51.

    J.M. Butterworth, J.R. Forshaw, M.H. Seymour, Z. Phys. C 72, 637–646 (1996)

    Article  ADS  Google Scholar 

  52. 52.

    S. Catani, F. Krauss, R. Kuhn, B.R. Webber, QCD matrix elements + parton showers. J. High Energy Phys. 11, 63 (2001). hep-ph/0109231

    Article  ADS  Google Scholar 

  53. 53.

    M. Boonekamp et al. Cosmic ray, beam-halo and beam-gas rate studies for ATLAS commissioning. ATL-GEN-2004-001 (2004)

  54. 54.

    A. Dar, Atmospheric neutrinos, astrophysical neutrons, and proton-decay experiments. Phys. Rev. Lett. 51, 227 (1983)

    Article  ADS  Google Scholar 

  55. 55.

    E. Boos et al., Generaic user process interface for event generators, in Proceedings of Les Houches 2001: Physics at TeV Colliders, Les Houches, France, May 21–June 1, 2001, ed. by W. Giele et al. (2001). hep-ph/0109068v1, The QCD/SM Working Group Report

  56. 56.

    J. Alwall et al., A standard format for Les Houches event files. Comput. Phys. Commun. 176, 300–304 (2007). hep-ph/0609017

    Article  ADS  Google Scholar 

  57. 57.

    S. Frixione, P. Nason, C. Oleari, Matching NLO QCD computations with parton shower simulations: the POWHEG method. J. High Energy Phys. 11, 070 (2007). 0709.2092 [hep-ph]

    Article  ADS  Google Scholar 

  58. 58.

    P. Skands et al., SUSY Les Houches accord: interfacing SUSY spectrum calculators, decay packages, and event generators. J. High Energy Phys. 0407, 36 (2004). hep-ph/0311123

    Article  ADS  Google Scholar 

  59. 59.

    B.C. Allanach et al., SUSY Les Houches Accord 2. Comput. Phys. Commun. 180, 8–25 (2009)

    Article  ADS  Google Scholar 

  60. 60.

    I. Borozan, M.H. Seymour, An eikonal model for multiparticle production in hadron hadron interactions. J. High Energy Phys. 09, 015 (2002). hep-ph/0207283

    Article  ADS  Google Scholar 

  61. 61.

    D. Bourilkov, R.C. Group, M.R. Whalley, LHAPDF: PDF use from the Tevatron to the LHC, 2006. hep-ph/0605240

  62. 62.

    H. Plothow-Besch, PDFLIB: a library of all available parton density functions of the nucleon, the pion and the photon and the corresponding alpha-s calculations. Comput. Phys. Commun. 75, 396–416 (1993)

    Article  ADS  Google Scholar 

  63. 63.

    W.K. Tung et al., Global QCD Analysis and Collider Phenomenology–CTEQ, in Proceedings of the DIS2007 Workshop, Munich, Germany, April 2007. 0707.0275 [hep-ph]

  64. 64.

    S. Chekanov et al. (ZEUS Collaboration), An NLO QCD analysis of inclusive cross-section and jet-production data from the ZEUS experiment. Eur. Phys. J. C 42, 1–16 (2005). hep-ph/0503274

    Article  ADS  Google Scholar 

  65. 65.

    Albrow M. et al. (TeV4LHC QCD Working Group), Tevatron-for-LHC report of the QCD working group. FERMILAB-Conf-06-359 (2006). hep-ph/0610012

  66. 66.

    P. Skands, Color connections, multijets, in Proceedings of the First International Workshop on Multiple Partonic Interactions at the LHC (MPI@LHC08), Perugia, Italy, October 27–31, 2008, ed. by P. Bartalini and L. Fano, (DESY-PROC, 2008), to appear

  67. 67.

    J. Boudreau, V. Tsulaia, The GeoModel toolkit for detector description, in Computing in High Energy and Nuclear Physics 2004 (CHEP2004), ed. by A. Aimar, J. Harvey, N. Knoors, Interlaken, Switzerland, September 27–October 1, 2004 (CERN, Geneva, 2004)

    Google Scholar 

  68. 68.

    G. Aad et al. (ATLAS Collaboration), Expected performance of the ATLAS experiment, detector, trigger, and physics. CERN-OPEN-2008-020 (2008)

  69. 69.

    F. Viegas, R. Hawkings, G. Dimitrov, Relational databases for conditions data and event selection in ATLAS. J. Phys. Conf. Ser. 119, 001001 (2007). In Proceedings of Computing in High Energy and Nuclear Physics 2007 Conference (CHEP2007), Victoria, BC, Canada, September 2–7, 2007, ed. R. Sobie, R. Tafirout, J. Thomson

    Article  Google Scholar 

  70. 70.

    SQLite, http://www.sqlite.org, 2008

  71. 71.

    R.F. van der Lans, The SQL Guide to SQLite, 1st edn. http://lulu.com, 2009

  72. 72.

    C. Newman, SQLite (Developer’s Library), 1st edn. (Sams, 2004)

  73. 73.

    B. Di Girolamo et al., Beamline instrumentation in the 2004 combined ATLAS testbeam. ATL-TECH-PUB-2005-001 (2005)

  74. 74.

    C. Adorisio et al., Nucl. Instrum. Methods Phys. Res. A 593, 232–254 (2008)

    Article  ADS  Google Scholar 

  75. 75.

    C. Adorisio et al., System test of the ATLAS muon spectrometer in the H8 beam at the CERN SPS. Nucl. Instrum. Methods A 593, 232–254 (2008)

    Article  ADS  Google Scholar 

  76. 76.

    M. Hurwitz, Performance of ATLAS tile calorimeter production modules in calibration testbeams. Nucl. Instrum. Methods Phys. Res. A 572, 80–81 (2007)

    Article  ADS  Google Scholar 

  77. 77.

    P. Strizenec, A. Minaenko (ATLAS LAr Endcap group), J. Phys. Conf. Ser. 160, 012078 (2009)

    Article  ADS  Google Scholar 

  78. 78.

    H. Bartko, Performance of the combined ATLAS liquid argon end-cap calorimeters in beam tests at the CERN SPS. Diploma Thesis ATL-LARG-2004-007, 2004

  79. 79.

    ATLAS Pixel Collaboration, Pixel offline analysis for endcap A cosmic data. ATL-INDET-PUB-2008-003 (2008)

  80. 80.

    B. Demirkoz, Construction and performance of the ATLAS SCT barrels and cosmic tests. CERN-THESIS-2008-001 (2008)

  81. 81.

    Z. Broklova, Z. Dolezal, Simulations of ATLAS silicon strip detector modules in ATHENA framework. CERN-THESIS-2005-007 (2004)

  82. 82.

    T.H. Kittelmann, Slepton spin determination and simulation of the transition radiation tracker at the ATLAS experiment. PhD in physics, Niels Bohr Institute, University of Copenhagen, 2007

  83. 83.

    D. Salihagic, Comparison of beam test results of the combined ATLAS liquid argon endcap calorimeters with Geant3 and Geant4 simulations, in 11th International Conference on Calorimetry in High Energy Physics, ed. by C. Cecci, P. Cenci, P. Lubrano, M. Pepe-Altarelli (World Scientific, Singapore, 2004), p. 314

    Google Scholar 

  84. 84.

    A. Dotti, A. Lupi, C. Roda, Results from ATLAS tile calorimeter: a comparison between data and Geant4 simulation. Nucl. Phys. B, Proc. Suppl. 150, 106–109 (2006)

    Article  ADS  Google Scholar 

  85. 85.

    N.C. Benekos, D. Rebuzzi, GEANT4 simulation of the ATLAS muon spectrometer, in 9th ICATPP Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications, ed. by M. Barone, E. Borchi, A. Gaddi, C. Leroy, L. Price, Villa Erba, Como, Italy, 17–21 October, 2005 (World Scientific, Singapore, 2005)

    Google Scholar 

  86. 86.

    K. Kordas, G. Parrour, S. Simion, GEANT4 for the ATLAS electromagnetic calorimeter, in 9th Conference on Calorimetry in High Energy Physics (CALOR 2000), ed. by B. Aubert, J. Colas, P. Nédélec, L. Poggioli, Annecy, France, 9–14 October 2000 (Lab. Annecy Phys. Part., Annecy-le-Vieux, 2000)

    Google Scholar 

  87. 87.

    A. Kiryunin, D. Salihagic, P. Strizenec (ATLAS/LAr-HEC Collaboration), GEANT4 simulations of the ATLAS hadronic end cap calorimeter, in 9th Conference on Calorimetry in High Energy Physics (CALOR 2000), ed. by B. Aubert, J. Colas, P. Nédélec, L. Poggioli, Annecy, France, 9–14 October 2000 (Lab. Annecy Phys. Part., Annecy-le-Vieux, 2000)

    Google Scholar 

  88. 88.

    P. Loch, R. Mazini, Comparison of experimental electron signals with GEANT3 and GEANT4 simulations for the ATLAS forward calorimeter prototype, in 9th Conference on Calorimetry in High Energy Physics (CALOR 2000), ed. by B. Aubert, J. Colas, P. Nédélec, L. Poggioli, Annecy, France, 9–14 October 2000 (Lab. Annecy Phys. Part., Annecy-le-Vieux, 2000)

    Google Scholar 

  89. 89.

    A. Dell’Acqua et al., Development of the ATLAS simulation framework, in Computing in High Energy and Nuclear Physics 2001 Conference (CHEP2001), IHEP, Beijing, China, September 3–7, 2001, ed. by H.S. Chen, (e-article, 2001)

  90. 90.

    A. Dell’Acqua et al., ATLAS simulation readiness for first data at LHC. J. Phys. Conf. Ser. 119, 001001 (2007). In Proceedings of Computing in High Energy and Nuclear Physics 2007 Conference (CHEP2007), Victoria, BC, Canada, September 2–7, 2007, ed. R. Sobie, R. Tafirout, J. Thomson

    Article  Google Scholar 

  91. 91.

    C. Amsler et al.(Particle Data Group), Phys. Lett. B 667, 1 (2008)

    Article  ADS  Google Scholar 

  92. 92.

    G. Battistoni et al., The FLUKA code: description and benchmarking. AIP Conf. Proc. 896, 31–49 (2007). In Proceedings of the Hadronic Shower Simulation Workshop 2006, Fermilab 6–8 September 2006

    Article  ADS  Google Scholar 

  93. 93.

    A. Fassò, A. Ferrari, J. Ranft, P.R. Sala, FLUKA: a multi-particle transport code. CERN 2005-10, 2005, Also INFN/TC_05/11, SLAC-R-773

  94. 94.

    A. Rimoldi et al., First report of the simulation optimization group. ATL-SOFT-PUB-2008-002 (2008)

  95. 95.

    A. Rimoldi et al., Final report of the simulation optimization task force. ATL-SOFT-PUB-2008-004 (2008)

  96. 96.

    R. Brun, F. Rademakers, ROOT—an object oriented data analysis framework. Nucl. Instrum. Methods Phys. Res. A 389, 81–86 (1997). In Proceedings AIHENP ’96 Workshop, Lausanne, Sep. 1996. See also http://root.cern.ch

    Article  ADS  Google Scholar 

  97. 97.

    T. Kittelmann (ATLAS Collaboration), The virtual point 1 event display for the ATLAS experiment, in Proceedings of Computing in High Energy and Nuclear Physics 2009 Conference (CHEP2009), Prague, Czech Republic, March 22–28, 2009

  98. 98.

    G. Taylor, Visualizing the ATLAS inner detector with Atlantis. Nucl. Instrum. Methods Phys. Res. A 549, 183–187 (2005)

    Article  ADS  Google Scholar 

  99. 99.

    M. Virchaux, D. Pomarède, The PERSINT manual. ATL-SOFT-2001-003 (2001)

  100. 100.

    S. Gadomski, Model of the SCT detectors and electronics for the ATLAS simulation using Geant4. ATL-SOFT-2001-005 (2001)

  101. 101.

    W. Lampl et al., Digitization of LAr calorimeter for CSC simulations. ATL-LARG-PUB-2007-011 (2007)

  102. 102.

    D. Rebuzzi et al., Geant4 muon digitization in the ATHENA framework. ATL-SOFT-PUB-2007-001 (2007)

  103. 103.

    F. James, Comput. Phys. Commun. 60, 329–344 (1990)

    MATH  Article  ADS  Google Scholar 

  104. 104.

    S. Baranov et al., ATLAS radiation background task force summary. ATL-GEN-2005-001 (2005)

  105. 105.

    C. Zeitnitz, T.A. Gabriel, The GEANT-CALOR interface and benchmark calculations for ZEUS calorimeters. Nucl. Instrum. Methods A 349, 106–111 (1994)

    Article  ADS  Google Scholar 

  106. 106.

    I. Azhgirey, I. Baishev, K.M. Potter, V. Talanov, Cascade simulations for the machine induced background study in the IR1 of the LHC. LHC Project Note 324 (2003)

  107. 107.

    I. Azhgirey, I. Baishev, K.M. Potter, V. Talanov, Machine induced background in the low luminosity insertions of the LHC. LHC Project Report 567 (2002)

  108. 108.

    E. Barberio et al., The Geant4-based ATLAS fast electromagnetic shower simulation. ATL-SOFT-CONF-2007-002 (2007)

  109. 109.

    E. Barberio et al., The fast shower simulation in the ATLAS calorimeter. J. Phys. Conf. Ser. 119, 001001 (2007). In Proceedings of Computing in High Energy and Nuclear Physics 2007 Conference (CHEP2007), Victoria, BC, Canada, September 2–7, 2007, ed. R. Sobie, R. Tafirout, J. Thomson

    Article  Google Scholar 

  110. 110.

    E. Richter-Was, D. Froidevaux, L. Poggioli, ATLFAST 2.0 a fast simulation package for ATLAS. CERN-ATL-PHYS-98-131 (1998)

  111. 111.

    S. Dean, P. Sherwood, Athena-Atlfast. http://www.hep.ucl.ac.uk/atlas/atlfast/, 2008

  112. 112.

    K. Edmonds et al., TheFast ATLAS track simulation (FATRAS). ATL-SOFT-PUB-2008-01 (2008)

  113. 113.

    G. Soyez, The SISCone and anti-kt jet algorithms (2008). 0807.0021 [hep-ph]

  114. 114.

    M. Cacciari, G.P. Salam, Dispelling the N**3 myth for the k(t) jet-finder. Phys. Lett. B 641, 57–61 (2006). hep-ph/0512210

    Article  ADS  Google Scholar 

  115. 115.

    A. Salzburger, S. Todorova, M. Wolter, The ATLAS tracking geometry description. ATL-SOFT-PUB-2007-004 (2007)

  116. 116.

    A. Salzburger, The ATLAS track extrapolation package. ATL-SOFT-PUB-2007-05 (2007)

  117. 117.

    J.L. Henning, S.P.E.C. CPU2000, Measuring CPU performance in the new millenium. IEEE Comput. 28–35 (2000)

  118. 118.

    C.P.U. Normalization Criterion, http://www.egee.cesga.es/EGEE-SA1-SWE/accounting/guides/NormalizationCriterion, 2009

  119. 119.

    A. De Salvo, F. Brasolin, Benchmarking the ATLAS software through the kit validation engine, in Proceedings of Computing in High Energy and Nuclear Physics 2009 Conference (CHEP2009), Prague, Czech Republic, March 22–28, 2009

  120. 120.

    GCC, the GNU Compiler Collection. http://gcc.gnu.org, 2008

  121. 121.

    Scientific Linux CERN, 4 (SLC4). http://linux.web.cern.ch/linux/scientific4, 2008

  122. 122.

    Y. Perrin, F. Orellana, M. Roy, D. Feichtinger, The LCG Savannah software development portal. CERN Yellow Report CERN 2005-002 (2005), pp. 609–612

  123. 123.

    T. Carli, H. Hakobyan, A. Henriques-Correia, M. Simonyan, Measurement of pion and proton longitudinal shower profiles up to 20 nuclear interaction lengths with the ATLAS time calorimeter. ATL-TILECAL-PUB-2007-008 (2007)

  124. 124.

    P. Adragna et al., Testbeam studies of production modules of the ATLAS tile calorimeter. ATL-TILECAL-PUB-2009-002 (2009)

  125. 125.

    P. Speckmayer, Comparison of data with Monte Carlo simulations at the ATLAS barrel combined testbeam 2004. J. Phys. Conf. Ser. 160 (2009). In Proceedings of the XIII International Conference on Calorimetry in High Energy Physics (CALOR 08), Pavia, Italy, May 26–30, 2008, ed. M. Fraternali, G. Gaudio, M. Livan

  126. 126.

    A.E. Kiryunin et al., GEANT4 physics evaluation with testbeam data of the ATLAS hadronic end-cap calorimeter, J. Phys., Conf. Ser. 160 (2009). In Proceedings of the XIII International Conference on Calorimetry in High Energy Physics (CALOR 08), Pavia, Italy, May 26–30, 2008, ed. M. Fraternali, G. Gaudio, M. Livan

  127. 127.

    M. Cooke et al., In situ commissioning of the ATLAS electromagnetic calorimeter with cosmic muons. ATL-LARG-PUB-2007-013 (2007)

  128. 128.

    M. Campanella, A. Ferrari, P.R. Sala, S. Vanini, First calorimeter simulation with the FLUGG prototype. ATL-SOFT-99-004 (1999)

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The ATLAS Collaboration., Aad, G., Abbott, B. et al. The ATLAS Simulation Infrastructure. Eur. Phys. J. C 70, 823–874 (2010). https://doi.org/10.1140/epjc/s10052-010-1429-9

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Keywords

  • Large Hadron Collider
  • Atlas Detector
  • Full Simulation
  • Muon System
  • GEANT4 Simulation