Introduction¶

SXDM is a toolkit for interacting with Scanning X-ray microscopy and X-ray Fluorescence data, most likely collected at the Advanced Photon Source - Beamline 26-ID-C. By collecting a set of frames at multiple incident angles/energies, spectral/diffraction maps are reconstructed to provide chemical/strain insight. Although SXDM was not designed for Fluorescence Mapping or XANES Mapping, built in functions allow Users to easily handle datasets to fit their needs.

This project has the following design goals:

Provide a python toolkit for analysis of X-ray diffraction frames.
Privide a python toolkit for importing and retrieving X-ray Fluorescence data.
Store data in an open format for easy distribution.
Provide framework 26-ID-C data handling.

GUI tools (eg. DUDE) exist for performing this type of analysis. While convenient and more versatile, final setup and testing has not been carried out. This module hopes to alleviate importing and data analysis issues for the 26-ID-C beamline. SXDM does provide an interactive GUI for visualizing the data, but this GUI does not alter the data or export results. This way, the analysis steps are captured either in an IPython notebook or conventional python script. These steps, together with the original data, should then be sufficient to reproduce the results exactly.

Installation¶

SXDM can be installed from the python package index (PyPI) using pip

$ pip install sxdm

Development¶

If you plan to contribute changes to sxdm, installing in developer mode may be more your style. This will also allow you to run tests and build documentation.

Installation¶

Assuming you are using conda, here are the steps. Any version of python >=3.5 should be ok.

$ conda create -n sxdm python=3.6
$ source activate sxdm
$ git clone clone git@github.com:WilliamJudge94/sxdm.git
$ pip3 install -r sxdm/requirements.txt
$ pip3 install ipykernel
$ ipython kernel install --user --name=sxdm

Jupyter¶

Once in Jupyter the User may have to initiate the import through

import sys
sys.path.append('/Users/usr/virtual_environment/lib/python3.6/site-packages/')

%matplotlib qt
import sys
sys.path.append('/path/to/sxdm/folder')
from sxdm import *

Tests¶

The easiest way to run unit-tests is with python tester from the command line:

$ pip install pytest
$ pip install pytest-cov

$ cd /dir/sxdm
$ pytest --cov=sxdm tests/

Documentation¶

The documentation is built using sphinx. To make HTML documents, use the following:

$ pip install sphinx
$ cd /dir/sxdm/docs
$ make html

Scanning X-Ray Diffraction Microscopy¶

Coming soon…

Example Workflow¶

A typical procedure for interacting with microscope frame-sets involves the following parts:

Import the raw data (.mda and .tif)
Apply corrections and align the images
Calculate some metric and create maps of it
Visualize the maps, statically or interactively.

Example for a single frameset across difference X-ray incident angles:

%load_ext autoreload
%autoreload 2
%matplotlib qt


# Developer Version
import sys
sys.path.append('/path/to/sxdm')
# Developer Version


from sxdm import *

# Set file name
hdf5_save_directory = '/dir/'
hdf5_save_filename = 'test'

# Importing .mda data
import_mda(mda_path, hdf5_save_directory, hdf5_save_filename)

# Importing .tif images - file='/dir/test.h5'
                            - was created by the import_mda() function
import_images(file, images_loc)

# Setting Detector Channels
disp_det_chan(file)
setup_det_chan(file, fluor, roi, detector_scan,
                filenumber, sample_theta, hybrid_x, hybrid_y, mis)

# Set up SXDMFrameset
scan_numbers = [1, 2, 3, 4, 5, ...]
dataset_name = 'Test_Name'
test_fs = SXDMFrameset(file, dataset_name,
                        scan_numbers = scan_numbers, median_blur_algorithm='numpy')

# Alignment
test_fs.alignment()

# Analysis
test_fs.centroid_analysis()

# Viewer
test_fs.centroid_viewer()