Vizic: A Jupyter-based Interactive Visualization Tool for Astronomical Catalogs
W. Yu, M. Carrasco Kind, R.J. Brunner

TL;DR
Vizic is an interactive Python-based visualization tool integrated with Jupyter notebooks, enabling astronomers to explore, filter, and analyze large-scale catalog data with customizable overlays and dynamic interactions.
Contribution
It introduces Vizic, a novel visualization library that connects astronomical images and catalogs through an interactive sky map with customizable overlays and Python integration.
Findings
Supports interactive filtering and coloring of catalog objects.
Enables dynamic addition of overlays like Voronoi and Delaunay diagrams.
Facilitates various analysis tasks such as clustering and outlier detection.
Abstract
The ever-growing datasets in observational astronomy have challenged scientists in many aspects, including an efficient and interactive data exploration and visualization. Many tools have been developed to confront this challenge. However, they usually focus on displaying the actual images or focus on visualizing patterns within catalogs in a predefined way. In this paper we introduce Vizic, a Python visualization library that builds the connection between images and catalogs through an interactive map of the sky region. Vizic visualizes catalog data over a custom background canvas using the shape, size and orientation of each object in the catalog. The displayed objects in the map are highly interactive and customizable comparing to those in the images. These objects can be filtered by or colored by their properties, such as redshift and magnitude. They also can be sub-selected using a…
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Taxonomy
TopicsAstronomical Observations and Instrumentation
