HepMCAnalyser: A tool for Monte Carlo Generator Validation

被引：2
|
作者：
Ay, C. [1 ]
Johnert, S. [2 ]
Katzy, J. [2 ]
Qin, Zhonghua [2 ]
机构：
[1] Univ Goettingen, Inst Phys 2, Gottingen, Germany
[2] DESY, Hamburg, Germany
来源：
17TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP09) | 2010年 / 219卷
关键词：
D O I：
10.1088/1742-6596/219/3/032029
中图分类号：
O57 [原子核物理学、高能物理学];
学科分类号：
070202 ;
摘要：
HepMCAnalyser is a tool for Monte Carlo (MC) generator validation and comparisons. It is a stable, easytouse and extendable framework allowing for easy access/integration to generator level analysis. It comprises a class library with benchmark physics processes to analyse MC generator HepMC output and to fill root histograms. A web-interface is provided to display all or selected histogramms, compare to references and validate the results based on Kolmogorov Tests. Steerable example programs can be used for event generation. The default steering is tuned to optimally align the distributions of the different MC generators. The tool will be used for MC generator validation by the Generator Services (GENSER) LCG project, e.g. for version upgrades. It is supported on the same platforms as the GENSER libraries and is already in use at ATLAS.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Validation of a Monte Carlo Radiographic Simulation
    Gearhart, A.
    Carver, D.
    Stabin, M.
    MEDICAL PHYSICS, 2016, 43 (06) : 3405 - 3405
  • [22] Monte Carlo Simulation: A Ubiquitous Tool
    Morin, Richard L.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2017, 14 (03) : 416 - 417
  • [23] Ascertainment of the number of samples in the validation set in Monte Carlo cross validation and the selection of model dimension with Monte Carlo cross validation
    Du, Yi Ping
    Kasemsumran, Surnaporn
    Maruo, Katsuhiko
    Nakagawa, Takehiro
    Ozaki, Yukihiro
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2006, 82 (1-2) : 83 - 89
  • [24] Development and experimental validation of a monte carlo modeling of the neutron emission from a d-t generator
    Remetti, Romolo
    Lepore, Luigi
    Cherubini, Nadia
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2017, 842 : 7 - 13
  • [25] Validation of a Dose Verification Tool Using a Simplified Monte Carlo Method for Patient Quality Assurance
    Mizutani, S.
    Hotta, K.
    Baba, H.
    Yamaguchi, T.
    Mukawa, T.
    Aoki, Y.
    Miyashita, T.
    Akimoto, T.
    MEDICAL PHYSICS, 2017, 44 (06)
  • [26] Cloud Based Monte Carlo Independent Dose Calculation Tool for Varian Linac: Implementation and Validation
    Chen, Q.
    Oldland, T.
    Sanford, L.
    Johnson, E.
    Molloy, J.
    MEDICAL PHYSICS, 2019, 46 (06) : E278 - E278
  • [27] A flexible Monte Carlo tool for patient or phantom specific calculations: comparison with preliminary validation measurements
    Davidson, S.
    Cui, J.
    Followill, D.
    Ibbott, G.
    Deasy, J.
    INTERNATIONAL WORKSHOP ON MONTE CARLO TECHNIQUES IN RADIOTHERAPY DELIVERY AND VERIFICATION - THIRD MCGILL INTERNATIONAL WORKSHOP, 2008, 102
  • [28] Monte Carlo methods as a validation tool for the maximum entropy closure of the moment hierarchy of Boltzmann equation
    Giusa, A
    Russo, G
    Bellini, V
    Sutera, CM
    NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA B-BASIC TOPICS IN PHYSICS, 2004, 119 (12): : 1173 - 1186
  • [29] EpIC: novel Monte Carlo generator for exclusive processes
    E. C. Aschenauer
    V. Batozskaya
    S. Fazio
    K. Gates
    H. Moutarde
    D. Sokhan
    H. Spiesberger
    P. Sznajder
    K. Tezgin
    The European Physical Journal C, 82
  • [30] The CCFM Monte Carlo generator CASCADE Version 2.2.03
    Jung, H.
    Baranov, S.
    Deak, M.
    Grebenyuk, A.
    Hautmann, F.
    Hentschinski, M.
    Knutsson, A.
    Kraemer, M.
    Kutak, K.
    Lipatov, A.
    Zotov, N.
    EUROPEAN PHYSICAL JOURNAL C, 2010, 70 (04): : 1237 - 1249
12345