Star Life

CARTA – Cube Analysis and Rendering Tool for Astronomy

Cube Analysis and Rendering Tool for Astronomy (CARTA) is a next generation image visualization and analysis tool designed for ALMA, VLA, and SKA pathfinders.

CARTA adopts a client-server architecture which is suitable for visualizing images with large file sizes (GB to TB).

CARTA has two flavors: Desktop version and Server version. The former is suitable for single-user usage with a laptop, a desktop, or a remote server in the “remote” execution mode. The later is suitable for institution-wide deployment to support multiple users with user authentication and additional server-side features.

This is free and open source software.

Key Features

  • Memory-efficient when loading images – with ~1 GB of ram, a 16000 pixel x 16000 pixel image or a 16000 pixel x 16000 pixel x 1000 channel cube (~1 TB in size) can be loaded in seconds.
  • Parallelization and GPU-accelerated rendering – parallelization with CPUs is invoked in data processing. GPU-accelerated rendering is adopted for tiled raster images, contour images, and catalog overlays.
  • Spectral line cube analysis tools – flexible multi-profile plotting capability is supported. Analysis tools such as profile fitting, profile smoothing, moment map generator, and spectral line query and labelling are out of box.
  • Customizable and reusable GUI layouts and preferences – highly customizable and reusable graphical user interface for various use cases.
  • Efficient catalog processing and rendering – catalogs with millions of sources can be loaded and rendered in seconds. Catalog files are processed with parallelization techniques and are rendered with GPU acceleration.
  • Efficient visualization with HDF5 (IDIA schema) images – the HDF5 format with the IDIA schema improves the user’s experience of viewing large image cubes significantly.

Website: cartavis.org
Support: GitHub Code Repositories
Developer: Academia Sinica, Institute of Astronomy and Astrophysics (ASIAA), Inter-University Institute for Data Intensive Astronomy (IDIA), National Radio Astronomy Observatory (NRAO), Department of Physics, University of Alberta
License: GNU General Public License v3.0

Image of CARTA
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CARTA is written in C++ and TypeScript. Learn C++ with our recommended free books and free tutorials. Learn TypeScript with our recommended free books and free tutorials.


Related Software

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astroMLPython module for machine learning and data mining
DS9Astronomical imaging and data visualization application
SirilAstronomical image (pre-)processing software
SkyfieldPure-Python astronomy package
SherpaModeling and fitting application for Python
IRAFImage Reduction and Analysis Facility
PyRAFPython-based IRAF command language
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CRUSHData reduction and imaging for select astronomical cameras

Read our verdict in the software roundup.


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