Interactive Web-Based Visualization Of Multidimensional Physical And Astronomical Data
FRONTIERS IN BIG DATA(2021)
摘要
In this article, we propose expanding the use of scientific repositories such as Zenodo and HEP data, in particular, to better study multiparametric solutions of physical models. The implementation of interactive web-based visualizations enables quick and convenient reanalysis and comparisons of phenomenological data. To illustrate our point of view, we present some examples and demos for dark matter models, supersymmetry exclusions, and LHC simulations.
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关键词
visualization, multidimensional data, machine learning, simulations, particle physics
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