Overview
DRAGONS is a platform for the reduction and processing of astronomical data. It is a Python meta-package that includes infrastructure for automation and algorithms for processing astronomical data. Currently, it focuses on the reduction of Gemini data, but hooks are available for expansion to data from other observatories.
With a little bit of guidance from you, DRAGONS will reduce your Gemini data in a standard way, rapidly, with little fuss. With a bit more guidance from you, DRAGONS will let you optimize the reduction for your specific sources and science objectives.
- Stable Version: v3.2.0
- Release Notes
- Change Logs
- DRAGONS Documentation Portal
The primary reference to be cited by users of DRAGONS and the DOI are:
K. Labrie et al. 2023, RNAAS, v7, Issue 10, id.214
DRAGONS DOI:10.5281/zenodo.10841622
Some other resources:
- Report on science quality verification for DRAGONS imaging modes
- Recorded demo of DRAGONS 3.1 for the science quality reduction of GMOS longslit data
System Requirements
- Python 3.10
- Linux, equivalent to CentOS 7 and above
- Or Mac OS X 10.13 and above
- x86_64 Miniforge or Anaconda (works on Mac arm64 architecture)
- conda >-4.12 for Python 3.10.
Installation
DRAGONS is distributed as a conda package. You will need to install Miniforge or Anaconda first. The advantage of this distribution system is that it will take care of installing all the required dependencies needed by DRAGONS in a self-contained environment.
The instructions to install Miniforge and then DRAGONS are located in the main DRAGONS documentation, here:
Install DRAGONS
Documentation and Tutorials
Official DRAGONS Documentation
- DRAGONS documentation portal
- The portal will lead you to tutorials for each of the supported instrument and mode, as well as tutorials and manuals on how to use and customize DRAGONS
External Resources