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Fast Azimuthal Integration in Python
This project forked from silx-kit/pyfai
Fast Azimuthal Integration in Python
pyFAI : Fast Azimuthal Integration in Python ===== pyFAI is an azimuthal integration library that tries to be fast (as fast as C and even more using OpenCL) It is based on histogramming of the 2theta/Q position of each (center of) pixel weighted by the intensity of each pixel. Neighboring output bins get also a contribution of pixels next to the border References: ----------- The philosophy of pyFAI is described in the proceedings of SRI2012: doi:10.1088/1742-6596/425/20/202012 http://iopscience.iop.org/1742-6596/425/20/202012/ Installation ============ pyFAI can be downloaded from the http://forge.epn-campus.eu/projects/azimuthal/files. Presently the source code has been distributed as a zip package and a compressed tarball. Download either one and unpack it. Developement is done on Github: https://github.com/kif/pyFAI e.g. tar xvzf pyFAI-0.8.0.tar.gz or unzip pyFAI-0.8.0.zip all files are unpacked into the directory pyFAI-0.8.0. To install these do cd pyFAI-0.8.0 and install pyFAI with python setup.py install most likely you will need to do this with root privileges (e.g. put sudo in front of the command). The newest development version can be obtained by checking it out from the git repository. git clone https://github.com/kif/pyFAI.git cd pyFAI sudo python setup.py install If you want pyFAI to make use of your graphic card, please install pyopencl from: http://mathema.tician.de/software/pyopencl If you are using MS Windows you can also download a binary version packaged as executable installation files (Chose the one corresponding to your python version). Documentation ------------- Documentation can be build using this command and Sphinx (installed on your computer): :: python setup.py build_doc Dependencies ============ Python 2.6 or 2.7. Compatibility with python 3 is unchecked. For full functionality of pyFAI the following modules need to be installed. * numpy - http://www.numpy.org * scipy - http://www.scipy.org * matplotlib - http://matplotlib.sourceforge.net/ * fabio - http://sourceforge.net/projects/fable/files/fabio/ Ubuntu and Debian Like linux distributions: ------------------------------------------- To use pyFAI on Ubuntu (a linux distribution based on Debian) the needed python modules can be installed either through the Synaptic Package Manager (found in System -> Administration) or using apt-get on from the command line in a terminal. The extra ubuntu packages needed are: * python-numpy * python-scipy * python-matplotlib * python-dev Only Fabio has to be downloaded separatly and installed * python-fabio (from http://sourceforge.net/projects/fable/files/fabio/) using apt-get these can be installed as: sudo apt-get install python-numpy python-scipy python-matplotlib python-dev wget http://sourceforge.net/projects/fable/files/fabio/0.0.7/squeeze/python-fabio_0.0.7-1_amd64.deb/download sudo dpkg -i python-fabio_0.0.7-1_amd64.deb Contributors ============ * Jérôme Kieffer * Dimitris Karkoulis * Jon Wright * Frédéric-Emmanuel Picca Indirect contributors (ideas, ...): ----------------------------------- * Peter Boesecke * Manuel Sánchez del Río * Vicente Armando Solé
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