Monte Carlo production monitoring tool for AMS experiment

R. Q. Xiong; R. L. Shi; F. Q. Huang; B. S. Shan; V. Choutko; A. Egorov; A. Eline; O. Demakov; J. H. Zhang; F. Dong; J. Z. Luo

doi:10.1088/1742-6596/898/7/072026

Monte Carlo production monitoring tool for AMS experiment

R. Q. Xiong
, R. L. Shi
, F. Q. Huang
, B. S. Shan
, V. Choutko
, A. Egorov
, A. Eline
, O. Demakov
, J. H. Zhang
, F. Dong
, J. Z. Luo

School of Artificial Intelligence(Institute of Artificial Intelligence)

Research output: Contribution to journal › Conference article › peer-review

Abstract

Monte Carlo (MC) simulation production plays an important role in physics analysis of the Alpha Magnetic Spectrometer (AMS-02) experiment. To facilitate the metadata retrieving for data analysis among millions of database records, we developed a monitoring tool to analyse and visualize the production status and progress. In this paper, we discuss the workflow of the monitoring tool and present its features and technical details.

Original language	English
Article number	072026
Journal	Journal of Physics: Conference Series
Volume	898
Issue number	7
DOIs	https://doi.org/10.1088/1742-6596/898/7/072026
State	Published - 23 Nov 2017
Event	22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 - San Francisco, United States Duration: 10 Oct 2016 → 14 Oct 2016

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10.1088/1742-6596/898/7/072026

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title = "Monte Carlo production monitoring tool for AMS experiment",

abstract = "Monte Carlo (MC) simulation production plays an important role in physics analysis of the Alpha Magnetic Spectrometer (AMS-02) experiment. To facilitate the metadata retrieving for data analysis among millions of database records, we developed a monitoring tool to analyse and visualize the production status and progress. In this paper, we discuss the workflow of the monitoring tool and present its features and technical details.",

author = "Xiong, \{R. Q.\} and Shi, \{R. L.\} and Huang, \{F. Q.\} and Shan, \{B. S.\} and V. Choutko and A. Egorov and A. Eline and O. Demakov and Zhang, \{J. H.\} and F. Dong and Luo, \{J. Z.\}",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 ; Conference date: 10-10-2016 Through 14-10-2016",

year = "2017",

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doi = "10.1088/1742-6596/898/7/072026",

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TY - JOUR

T1 - Monte Carlo production monitoring tool for AMS experiment

AU - Xiong, R. Q.

AU - Shi, R. L.

AU - Huang, F. Q.

AU - Shan, B. S.

AU - Choutko, V.

AU - Egorov, A.

AU - Eline, A.

AU - Demakov, O.

AU - Zhang, J. H.

AU - Dong, F.

AU - Luo, J. Z.

PY - 2017/11/23

Y1 - 2017/11/23

N2 - Monte Carlo (MC) simulation production plays an important role in physics analysis of the Alpha Magnetic Spectrometer (AMS-02) experiment. To facilitate the metadata retrieving for data analysis among millions of database records, we developed a monitoring tool to analyse and visualize the production status and progress. In this paper, we discuss the workflow of the monitoring tool and present its features and technical details.

AB - Monte Carlo (MC) simulation production plays an important role in physics analysis of the Alpha Magnetic Spectrometer (AMS-02) experiment. To facilitate the metadata retrieving for data analysis among millions of database records, we developed a monitoring tool to analyse and visualize the production status and progress. In this paper, we discuss the workflow of the monitoring tool and present its features and technical details.

UR - https://www.scopus.com/pages/publications/85038581704

U2 - 10.1088/1742-6596/898/7/072026

DO - 10.1088/1742-6596/898/7/072026

M3 - 会议文章

AN - SCOPUS:85038581704

SN - 1742-6588

VL - 898

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 7

M1 - 072026

T2 - 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016

Y2 - 10 October 2016 through 14 October 2016

ER -

Monte Carlo production monitoring tool for AMS experiment

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