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arXiv · 1704.04561

Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes

Paul Rosen·Anil Seth·Betsy Mills·Adam Ginsburg·Julia Kamenetzky·Jeff Kern·Chris R. Johnson·Bei Wang
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Abstract

The current generation of radio and millimeter telescopes, particularly the Atacama Large Millimeter Array (ALMA), offers enormous advances in observing capabilities. While these advances represent an unprecedented opportunity to facilitate scientific understanding, the increased complexity in the spatial and spectral structure of these ALMA data cubes lead to challenges in their interpretation. In this paper, we perform a feasibility study for applying topological data analysis and visualization techniques never before tested by the ALMA community. Through techniques based on contour trees, we seek to improve upon existing analysis and visualization workflows of ALMA data cubes, in terms of accuracy and speed in feature extraction. We review our application development process in building effective analysis and visualization capabilities for the astrophysicists. We also summarize effective design practices by identifying domain-specific needs of simplicity, integrability, and reproducibility, in order to best target and service the large astrophysics community.

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Paul Rosen, Anil Seth, Betsy Mills, Adam Ginsburg, Julia Kamenetzky, Jeff Kern, Chris R. Johnson, Bei Wang. 2017-04-15. Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes. https://arxiv.org/abs/1704.04561

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