ViewCube 0.3.0

Datacube visualization and sonification

ViewCube - Datacube Visualization [& Sonification] Tool

ViewCube is a user-friendly datacube visualizer designed to streamline the exploration and analysis of multi-dimensional datasets. It enables easy visualization and interaction with datacubes, while its Sonicube interface offers auditory exploration through sonification, enriching the data analysis process.

Additionally, the tool allows for the exploration of raw-stacked spectra (RSS) via its ViewRSS interface, provided a fiber position table is available.

Documentation

For detailed information on ViewCube, visit the official documentation:

https://viewcube.readthedocs.io

Installation

We recommend referring to the ViewCube documentation for comprehensive guidance:

https://viewcube.readthedocs.io

To get started quickly, just run:

pip install viewcube

For more information, visit the ViewCube PyPI page.

Documentation

For detailed instructions and information, consult the ViewCube documentation:

https://viewcube.readthedocs.io

Usage

To visualize a datacube, follow these steps:

1. Open a terminal window.
2. Navigate to the folder where your datacube file (name_cube.fits) is located.
3. Enter the following command:

   ViewCube name_cube.fits
   

The first time you run ViewCube you may need to create a configuration file:

ViewCube --config-file

Cheat Sheet

Refer to the ViewCube.pdf cheat sheet PDF file in the GitHub latex directory or the documentation for a list of keyboard shortcuts and quick operations to enhance your experience.

Start exploring your datacubes with ViewCube and gain valuable insights effortlessly. For any further assistance or feedback, please refer to the documentation or reach out to our support team. Happy visualizing!

How to cite this package

If you use this package in your research—whether for visualization, sonification, or both—please cite it by including as much of the following information as possible:

Adrián García Riber, Rubén García-Benito, Francisco Serradilla. Interactive multimodal integral field spectroscopy, RAS Techniques and Instruments, Volume 3, Issue 1, January 2024, Pages 748-758 https://doi.org/10.1093/rasti/rzae049