Keyword: data-management
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MOPHA086 The Design of Experimental Performance Analysis and Visualization System experiment, data-analysis, database, laser 409
 
  • J. Luo, L. Li, Z. Ni, X. Zhou
    CAEP, Sichuan, People’s Republic of China
  • Y. Gao
    Stony Brook University, Stony Brook, New York, USA
 
  The analysis of experimental performance is an essential task to any experiment. With the increasing demand on experimental data mining and utilization. methods of experimental data analysis abound, including visualization, multi-dimensional performance evaluation, experimental process modeling, performance prediction, to name but a few. We design and develop an experimental performance analysis and visualization system, consisting of data source configuration component, algorithm management component, and data visualization component. It provides us feasibilities such as experimental data extraction and transformation, algorithm flexible configuration and validation, and multi-views presentation of experimental performance. It will bring great convenience and improvement for the analysis and verification of experimental performance.  
poster icon Poster MOPHA086 [0.232 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA086  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUBPL01 Automatic Web Application Generation From an Irradiation Experiment Data Management Ontology (IEDM) radiation, experiment, interface, operation 687
 
  • B. Gkotse, F. Ravotti
    CERN, Meyrin, Switzerland
  • B. Gkotse, P. Jouvelot
    MINES ParisTech, PSL Research University, Paris, France
 
  Funding: This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under Grant Agreement no. 654168
Detectors and electronic components in High-Energy Physics experiments are nowadays often exposed to harsh radiation environments. Thus, to insure reliable operation over time, their radiation tolerance must be assessed beforehand through dedicated testing experiments in irradiation facilities. To prevent data loss and perform accurate experiments, these facilities need to rely upon a proper data management system. In prior work, we provided a formal description of the key concepts involved in the data management of irradiation experiments using an ontology (IEDM)*. In this work, we show how this formalisation effort has a practical by-product via the introduction of an ontology-based methodology for the automatic generation of web applications, using IEDM as a use case. Moreover, we also compare this IEDM-generated web application to the IRRAD Data Manager (IDM), the manually developed web application used for the data handling of the CERN Proton Irradiation facility (IRRAD). Our approach should allow irradiation facility teams to gain access to state-of-the-art data management tools without incurring significant software development effort.
*Gkotse, B., Jouvelot, P., Ravotti, F.: IEDM: An Ontology for Irradiation Experiments Data Management. In: Extended Semantic Web Conference 2019, accepted in Posters and Demos. http://cern.ch/iedm
 
slides icon Slides TUBPL01 [10.183 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUBPL01  
About • paper received ※ 30 September 2019       paper accepted ※ 21 October 2019       issue date ※ 30 August 2020  
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WEMPL009 Tracking APS-U Production Components With the Component Database and eTraveler Applications database, controls, photon, software 1026
 
  • D.P. Jarosz, N.D. Arnold, J. Carwardine, G. Decker, N. Schwarz, G. Shen, S. Veseli
    ANL, Lemont, Illinois, USA
  • D. Liu
    Osprey DCS LLC, Ocean City, USA
 
  Funding: Argonne National Laboratory’s work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract DE-AC02-06CH11357
The installation of the APS-U has a short schedule of one year, making it imperative to be well prepared before the installation process begins. The Component Database (CDB) has been designed to help in documenting and tracking all the components for APS-U. Two new major domains, Machine Design domain and Measurement and Analysis Archive (MAARC) domain, have been added to CDB to further its ability in exhaustively documenting components. The Machine Design domain will help define the purpose of all the components in the APS-U design and the MAARC domain allows association of components with collected data. The CDB and a traveler application from FRIB have been integrated to help with documenting various processes performed, such as inspections and maintenance. Working groups have been formed to define appropriate work flow processes for receiving components, using the tools to document receiving inspection and QA requirements. The applications are under constant development to perform as expected by the working groups. Over some time, especially after production procurement began, the CDB has seen more and more usage in order to aid in preparation for the APS-U installation.
 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPL009  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)