Cygrid is a cython-powered convolution-based gridding module for astronomy
Project description
# Introduction #
Version: 0.9
Authors: Benjamin Winkel, Lars Flöer, Daniel Lenz
# Purpose#
cygrid allows to resample a number of spectra (or data points) to a regular grid - a data cube - using any valid astronomical FITS/WCS projection (see http://docs.astropy.org/en/stable/wcs/).
The method is a based on serialized convolution with finite gridding kernels. Currently, only Gaussian (radial-symmetric or elliptical) kernels are provided (which has the drawback of slight degradation of the effective resolution). The algorithm has very small memory footprint, allows easy parallelization, and is very fast.
# Features
Supports any WCS projection system as target.
Conserves flux.
Low memory footprint.
Scales very well on multi-processor/core platforms.
# Usage #
### Installation ###
The easiest way to install cygrid is via pip:
` pip install cygrid `
The installation is also possible from source. Download the tar.gz-file, extract (or clone from GitHub) and simply execute
` python setup.py install `
### Dependencies ###
We kept the dependencies as minimal as possible. The following packages are required: * numpy 1.10 or later * cython 0.23.4 or later * astropy 1.0 or later (Older versions of these libraries may work, but we didn’t test this!)
If you want to run the notebooks yourself, you will also need the Jupyter server, matplotlib and wcsaxes packages.
### Examples ###
Check out the [ipython notebooks](http://nbviewer.jupyter.org/github/bwinkel/cygrid/blob/master/notebooks/index.ipynb) in the repository for some examples of how to use cygrid. Note that you only view them on the nbviewer service, and will have to clone the repository to run them on your machine.
### Who do I talk to? ###
If you encounter any problems or have questions, do not hesitate to raise an issue or make a pull request. Moreover, you can contact the devs directly:
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