LSSGalPy: Interactive Visualization of the Large-scale Environment Around Galaxies

Abstract

New tools are needed to handle the growth of data in astrophysics delivered by recent and upcoming surveys. We aim to build open-source, light, flexible, and interactive software designed to visualize extensive three-dimensional (3D) tabular data. Entirely written in the Python language, we have developed interactive tools to browse and visualize the positions of galaxies in the universe and their positions with respect to its large-scale structures (LSS). Motivated by a previous study, we created two codes using Mollweide projection and wedge diagram visualizations, where survey galaxies can be overplotted on the LSS of the universe. These are interactive representations where the visualizations can be controlled by widgets. We have released these open-source codes that have been designed to be easily re-used and customized by the scientific community to fulfill their needs. The codes are adaptable to other kinds of 3D tabular data and are robust enough to handle several millions of objects.

7 pages, 2 figures; accepted for publication in PASP Special Focus Issue: Techniques and Methods for Astrophysical Data Visualization

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Cited by in corpus (6)

• The mass and environmental dependence on the secular processes of AGN in terms of morphology, colour, and specific star-formation rate
• CAVITY, Calar Alto Void Integral-field Treasury surveY and project extension
• Morphologies of galaxies within voids
• The less significant role of large-scale environment than optical AGN in nearby, isolated elliptical galaxies
• SIT 45: An interacting, compact, and star-forming isolated galaxy triplet
• Editorial: Techniques and Methods for Astrophysical Data Visualization