Process FITS files
Project description
This package provides an ipython notebook for reducing and doing stellar photometry on CCD data.
New to python? Start here
Getting started with python can be intimidating; if you have questions please contact me!
To actually run this tool you need to install the anaconda python distribution. It will not interfere in any way with other python installations you have.
Please provide feedback
Comments are very, very much welcome. Please comment by making a new issue on Github (if, by chance, a reasonably senior academic is using this, you can send feedback by email; anyone else should really create a github account so you can make an issue :)).
Installation
You need python (2.7, or 3.4 or higher) and the SciPy stack. The easiest way to the get the full stack is from a distribution like anaconda.
Then, in a terminal/command window:
pip install --pre reducer
You can, if you want, grab the source on github (there is a “Download as ZIP” link on the right you can use if you don’t want to mess git), change into the source directory, and run python setup.py install.
Usage
This package doesn’t magically do your reduction for you. Instead, it creates a template ipython notebook that leads you through data reduction and aperture photometry. When you are done you have reduced your data and you have a notebook that allows you or someone else to reproduce your work.
In a terminal, navigate to the directory where you want to keep the notebook for doing your reduction (which does not have to be the same directory where the data is, though it can be), then type:
reducer
This will create a new template notebook. To open the notebook, type in a terminal:
ipython notebook
A browser window will open; the notebook you want is named “reduction.ipynb”. Click on it, then just do what it says in the notebook and reduced data (and someday photometry!) will be yours.
Under the hood
If you look at the source code you’ll notice pretty quickly that there is no actual science code. Think of this as the glue that brings together a few related packages:
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
