Experiment archive, analysis, and visualization at the National Ignition Facility

Experiment archive, analysis, and visualization at the National Ignition Facility

► We show the computing architecture to manage scientific data from NIF experiments. ► NIF laser “shots” generate GBs of data for sub-microsec events separated by hours. ► Results are archived, analyzed and displayed with parallel and scalable code. ► Data quality and pedigree, based on calibration...

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Bibliographic Details
Published in:Fusion engineering and design Vol. 87; no. 12; pp. 2087 - 2091
Main Authors: Hutton, Matthew S., Azevedo, Stephen, Beeler, Richard, Bettenhausen, Rita, Bond, Essex, Casey, Allan, Liebman, Judith, Marsh, Amber, Pannell, Thomas, Warrick, Abbie
Format: Journal Article
Language:English
Published: Elsevier B.V 01-12-2012
Subjects:
Archives
Automated analysis
Computation
Computer programs
Dashboards
Ignition
Mathematical models
National Ignition Facility
NIF
Scientific archive
Shot
Software
Web-based visualization
National Ignition Facility
Automated analysis
Web-based visualization
NIF
Dashboards
Scientific archive
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Summary:► We show the computing architecture to manage scientific data from NIF experiments. ► NIF laser “shots” generate GBs of data for sub-microsec events separated by hours. ► Results are archived, analyzed and displayed with parallel and scalable code. ► Data quality and pedigree, based on calibration of each part, are tracked. ► Web-based visualization tools present data across shots and diagnostics. The National Ignition Facility (NIF) at the Lawrence Livermore National Laboratory is the world's most energetic laser, providing a scientific research center to study inertial confinement fusion and matter at extreme energy densities and pressures. A target shot involves over 30 specialized diagnostics measuring critical x-ray, optical and nuclear phenomena to quantify ignition results for comparison with computational models. The Shot Analysis and Visualization System (SAVI) acquires and analyzes target diagnostic data for display within a time-budget of 30min. Laser and target diagnostic data are automatically loaded into the NIF archive database through clustered software data collection agents. The SAVI Analysis Engine distributes signal and image processing tasks to a Linux cluster where computation is performed. Intermediate results are archived at each step of the analysis pipeline. Data is archived with metadata and pedigree. Experiment results are visualized through a web-based user interface in interactive dashboards tailored to single or multiple shot perspectives. The SAVI system integrates open-source software, commercial workflow tools, relational database and messaging technologies into a service-oriented and distributed software architecture that is highly parallel, scalable, and flexible. The architecture and functionality of the SAVI system will be presented along with examples.
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SourceType-Scholarly Journals-1
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ISSN:0920-3796
1873-7196
DOI:10.1016/j.fusengdes.2012.07.009