AMADA-Analysis of Multidimensional Astronomical Datasets

Abstract

We present AMADA, an interactive web application to analyse multidimensional datasets. The user uploads a simple ASCII file and AMADA performs a number of exploratory analysis together with contemporary visualizations diagnostics. The package performs a hierarchical clustering in the parameter space, and the user can choose among linear, monotonic or non-linear correlation analysis. AMADA provides a number of clustering visualization diagnostics such as heatmaps, dendrograms, chord diagrams, and graphs. In addition, AMADA has the option to run a standard or robust principal components analysis, displaying the results as polar bar plots. The code is written in R and the web interface was created using the Shiny framework. AMADA source-code is freely available at https://goo.gl/KeSPue, and the shiny-app at http://goo.gl/UTnU7I.

Accepted for publication in Astronomy & Computing

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• Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
• The Data Release of the Sloan Digital Sky Survey-II Supernova Survey
• Constraints on the star formation histories of galaxies from z~1 to z~0
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• The IllustrisTNG Simulations: Public Data Release