Analysis software for XPCS, XSVS and SAXS data.
Project description
Documentation
The documentation can be found on Read the Docs under this link.
Install Xana
A Fortran compiler and f2py
(now part of numpy
) are required build python
modules from fortran routines during installation. If the installation fails due
to a missing compiler see point 3.
-
Install Xana using pip:
pip install Xana
-
Install most recent Xana version from GitHub: Download (clone) the repository and install Xana.
git clone https://github.com/reiserm/Xana.git cd Xana pip install .
or use
pip install -e .
for editable installation. Then you can update Xana by executinggit pull
from within the Xana directory.Install the latest version from GitHub directly with pip (Recommended at the moment)
pip install git+https://github.com/reiserm/Xana.git
-
If a Fortran compiler is not already installed, try
-
Additional remarks on the installation on OSX:
- If installing Xana fails, it might help to unset the following environment
variables:
unset LDFLAGS
andunset SHELL
thenpip install Xana
.
- If installing Xana fails, it might help to unset the following environment
variables:
Example Data
An example XPCS dataset can be downloaded from Xana_example. The repository contains
- Example XPCS data measured with 100nm (diameter) SiO2 nanoparticles dispersed in a glycerol-water mixture.
- A mask of the detector, i.e., a 2D array where bad or broken pixels are 0 and others are 1.
- A tutorial Jupyter notebook.
Use
git clone https://github.com/reiserm/Xana_example.git
tar xzf ./Xana_example/xpcs_data.tgz
to download and unpack the data.
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