Interactive web-based visualization of multi-dimensional physical and astronomical data

TL;DR

This paper introduces interactive web-based visualizations for multi-dimensional physical and astronomical data, enhancing data analysis and comparison capabilities in scientific repositories.

Contribution

It presents a novel approach to visualize complex physical data interactively, facilitating better analysis and interpretation of multi-parametric models.

Findings

Enhanced data re-analysis speed

Improved comparison of phenomenological data

Demonstrated applications in dark matter and LHC simulations

Abstract

In this manuscript, we propose to expand the use of scientific repositories such as Zenodo and HEP Data, in particular in order to better examine multi-parametric solutions of physical models. The implementation of interactive web-based visualizations enables fast and comfortable re-analysis and comparisons of phenomenological data. In order to illustrate our point of view, we present some examples and demos for dark matter models, supersymmetry exclusions and LHC simulations.