An Interactive 3D Visualization Tool for Large Scale Data Sets for Quantitative Atom Probe Tomography
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An Interactive 3D Visualization Tool for Large Scale Data Sets for Quantitative Atom Probe Tomography Hari Dahal,1 Michael Stukowski,2 Matthias J. Graf,3 Alexander V. Balatsky1 and Krishna Rajan2 1
Theoretical Division and Center for Integrated Nanotechnology, Los Alamos National Laboratory, Los Alamos, NM 87544 2 Materials Science and Engineering & Institute for Combinatorial Discovery, Iowa State University, Ames, IA 50011 3 Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87544 ABSTRACT Several visualization schemes have been developed for imaging materials at the atomic level through atom probe tomography. The main shortcoming of these tools is their inability to parallel process data using multi-core computing units to tackle the problem of larger data sets. This critically handicaps the ability to make a quantitative interpretation of spatial correlations in chemical composition, since a significant amount of the data is missed during subsequent analysis. In addition, since these visualization tools are not open-source software there is always a problem with developing a common language for the interpretation of data. In this contribution we present results of our work on using an open-source advanced interactive visualization software tool, which overcomes the difficulty of visualizing larger data sets by supporting parallel rendering on a graphical user interface or script user interface and permits quantitative analysis of atom probe tomography data in real time. This advancement allows materials scientists a codesign approach to making, measuring and modeling new and nanostructured materials by providing a direct feedback to the fabrication and designing of samples in real time. INTRODUCTION The current state-of-the art Atom Probe Tomography (APT) hardware comes with its own visualization tool, e.g., Imago visualization and analysis system (IVAS) [1]. There exist several other visualization tools that have been developed by different atom probe experimental groups, e.g. ADAM [2]. The main shortcoming of these tools is their inability to parallel process data using multi-core computing units to tackle the problem of large data sets. This severely limits the data analysis and leads to analyzing only parts of the data at a time. Analyzing only parts of the data normally is fraught with missing important information. This dilemma can be overcome using a codesign approach to materials design, fabrication, characterization, and analysis by developing state-of-the-art visualization and analysis capabilities, which offer a streamlined feedback to the making, measuring and modeling of materials in real time. In addition, since these visualization tools are not open-source software there is always a problem with developing a common language for the interpretation of data. In our analysis we use an open-source software package ‘ParaView’, which overcomes the difficulty of visualizing larger data sets by supporting parallel rendering in GUI (Graphical User Interface) and SUI
(Script User Interfa
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