PhotoPipe is a pipeline for automated reduction, photometry and astrometry of imaging data from RATIR and RIMAS.
Project description
PhotoPipe is a pipeline for automated reduction, photometry and astrometry, written in Python (2.7), and designed to process imaging data from the following instruments:
RATIR: the Reionization and Transients Infrared/Optical Project.
RIMAS: the Rapid infrared IMAger Spectrometer.
Full Documentation
See the Wiki for full documentation, examples, operational details and other information.
Prerequisites
The pipeline can be installed with very little additional software. However, depending on the installation, different libraries and software may be required. Please see the Installation section below, and the dedicated wiki page for a full list of prerequisites.
Installation
The easiest way to get up and running with the pipeline is to download the ready-to-use virtual machine box and run it with Vagrant.
1) Download a pre-configured Virtual Machine (PhotoPipe-VM)
Please refer to the virtual machine repository.
2) Install on your machine from PyPI or git
Run sudo -H pip install photopipe to install the latest stable version from PyPI.
Or, clone from git:
$ git clone git@github.com:maxperry/photometrypipeline.git $ cd photometrypipeline $ sudo python setup.py install
NOTE (macOS): If the installation fails with sudo: port: command not found make sure that MacPorts is installed and /opt/local/bin is in the $PATH (e.g. export PATH=/opt/local/bin:/opt/local/sbin:$PATH).
3) Manual Installation
If you to run the pipeline from the Python enviroment rather than using the photopipe command as described in the Usage section, please follow the step by step instructions in the wiki pages below to install all the dependencies manually.
Usage
View README on GitHub.
Bugs and Feedback
For bugs, questions and discussions please use the Github Issues.
License
This project is licensed under the GNU GPLv3 License - see the LICENSE file for details.
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