Exploration of High-dimensional Scalar Function for Nuclear Reactor Safety Analysis and Visualization: A User's Guide to TopoXG*

Dan Maljovec ; Bei Wang ; Valerio Pascucci ; Peer-Timo Bremer ; Michael Pernice ; Diego Mandelli

关键词: Adaptive sampling;    Data visualization;    Nuclear simulation;    Topological exploration;   

DOI  :  10.2172/1060988
RP-ID  :  INL/EXT-12-27523
PID  :  OSTI ID: 1060988

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

Large-scale simulation datasets can be modeled as high-dimensional scalar functions defined over a discrete sample of the domain. The goals of our proposed research are two-fold. First, we would like to provide structural analysis of a function at multiple scales and provide insight into the relationship between the input parameters and the output. Second, we enable exploratory analysis for users, where we help the users to differentiate features from noise through multi-scale analysis on an interactive platform, based on domain knowledge and data characterization. TopoXG is a software package that is designed to address these goals. The unique contribution of TopoXG lies in exploiting the topological and geometric properties of the domain, building statistical models based on its topological segmentations and providing interactive visual interfaces to facilitate such explorations. We provide a user???s guide to TopoXG, by highlighting its analysis and visualization capabilities, and giving several use cases involving datasets from nuclear reactor safety simulations.