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

Authors: M. Argudo-Fernández; S. Duarte Puertas; J. E. Ruiz; J. Sabater; S. Verley; G. Bergond;

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

Countries
United Kingdom, Spain
Keywords

Galaxies: general, Methods: observational, Galaxies: statistics, Methods: data analysis, FOS: Physical sciences, Surveys, Methods: miscellaneous, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Methods: statistical

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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