Skip to content

Workflow for XRF Tomography at the SRX Beamline at the NSLS-II

License

Notifications You must be signed in to change notification settings

andrewmkiss/xrf-tomo

 
 

Repository files navigation

XRF Tomo

XRF Tomography Reconstruction

Installation

The software is expected to work with Python version 3.7-3.9. Create conda environment with the preferable python version:

$ conda create -n xrf-tomo-env python=3.8 -c conda-forge
$ conda activate xrf-tomo-env

tomopy and xraylib (dependency of PyXRF) are not available from PyPI and need to be installed from conda-forge:

$ conda install tomopy pyxrf -c conda-forge

svmbir is an optional dependency. Install svmbir separately if needed. Instructions are slightly different depending on OS. Linux:

$ pip install svmbir

OSX:

$ ln -sf /usr/local/bin/gcc-10 /usr/local/bin/gcc
$ CC=gcc pip install --no-binary svmbir svmbir

Windows:

$ CC=gcc pip install svmbir

Finally install this package. From PyPI:

$ pip install xrf-tomo

From source (develop install). Clone the repository in the appropriate directory and then install with pip:

$ git clone https://github.com/NSLS-II-SRX/xrf-tomo
$ cd xrf-tomo
$ pip install -e .

Using the package

Activate the environment:

$ conda activate xrf-tomo-env

In IPython environment or a script import necessary or all functions from the package, e.g.

from xrf_tomo import *

About

Workflow for XRF Tomography at the SRX Beamline at the NSLS-II

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%