首页> 外文会议>International conference on mathematics, computational methods reactor physics;MC 2009 >MERCURY + VISIT: INTEGRATION OF A REAL-TIME GRAPHICAL ANALYSIS CAPABILITY INTO A MONTE CARLO TRANSPORT CODE
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MERCURY + VISIT: INTEGRATION OF A REAL-TIME GRAPHICAL ANALYSIS CAPABILITY INTO A MONTE CARLO TRANSPORT CODE

机译:MERCURY + VISIT:将实时图形分析功能整合到蒙特卡洛运输代码中

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Validation of the problem definition and analysis of the results (tallies) produced during a Monte Carlo particle transport calculation can be a complicated, time-intensive processes. The time required for a person to create an accurate, validated combinatorial geometry (CG) or mesh-based representation of a complex problem, free of common errors such as gaps and overlapping cells, can range from days to weeks. The ability to interrogate the internal structure of a complex, three-dimensional (3-D) geometry, prior to running the transport calculation, can improve the user's confidence in the validity of the problem definition. With regard to the analysis of results, the process of extracting tally data from printed tables within a file is laborious and not an intuitive approach to understanding the results. The ability to display tally information overlaid on top of the problem geometry can decrease the time required for analysis and increase the user's understanding of the results. To this end, our team has integrated VisIt, a parallel, production-quality visualization and data analysis tool into Mercury, a massively-parallel Monte Carlo particle transport code. VisIt provides an API for real time visualization of a simulation as it is running. The user may select which plots to display from the VisIt GUI, or by sending VisIt a Python script from Mercury. The frequency at which plots are updated can be set and the user can visualize the simulation results as it is running.
机译:在蒙特卡罗粒子运输计算期间产生的问题定义和分析的问题定义和分析可以是复杂,时间密集的过程。人员创建准确,验证的组合几何(CG)或基于网格的表示的时间所需的时间,不含常见误差,例如间隙和重叠的单元格,可以从天到周到数周。在运行运输计算之前,询问复杂的三维(3-D)几何形状的内部结构的能力可以提高用户对问题定义的有效性的置信度。关于结果分析,从文件内从印刷表中提取计数数据的过程是费力的,而不是了解结果的直观方法。在问题几何形状的顶部显示覆盖的覆盖的信息的能力可以减少分析所需的时间并增加用户对结果的理解。为此,我们的团队已经综合访问,并行,生产质量可视化和数据分析工具,进入汞,这是一种大规模平行的蒙特卡罗粒子传输代码。访问提供了一个API,用于实时可视化模拟运行。用户可以选择从访问GUI显示哪个绘图,或通过发送来自Mercury的Python脚本。可以设置更新图的频率,并且用户可以在运行时可视化模拟结果。

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