Toolkit for making and processing X-ray fluoresence simulations via XMI-MSIM
Project description
XMIMSIM
XMIMSIM (the python package) is a front-end to XMI-MSIM, XRF open-source simulation software, for running in python.
Installation
MacOS
On mac, acquire XMIMSIM through homebrew. To install do not use the brewsci/science tap
brew tap tschoonj/tap
brew cask install tschoonj/tap/xmi-msim
Linux/Windows
Follow the instructions here.
Python
Install the python utility with
pip install xmimsim
Getting started
The examples folder contains the following example:
import xmimsim as xmi
There is only one class currently in xmimsim, so one could just as easily use from xmimsim import model
.
From there, the parameters can be defined as a dictionary:
parameters = {'n_photons_interval' : 1,'n_photons_line' : 100000,'n_interactions_trajectory' : 1,
'reference_layer' : 2,'d_sample_source' : 100,'area_detector' : 0.5,
'collimator_height' : 0,'collimator_diameter' : 0,'d_source_slit' : 100,
'slit_size_x' : 0.001,'slit_size_y' : 0.001,'detector_type' : 'SiLi',
'detector_live_time' : 1500,'detector_pulse_width' : 1e-05,'detector_nchannels' : 2048,
'detector_gain' : 0.0182138,'detector_zero' : 0,'detector_fano' : 0.12,'detector_noise' : 0.1}
to be injected into the code. The model is initialized with:
xm = xmi.model()
from there the model, xm
, can be added to, e.g.:
xm.set_parameters(**parameters)
xm.add_source(
energy = 13.5,
horizontal_intensity = '1e+012',
vertical_intensity = '1e+009',
gaussian=0.14)
All these classes return self, so one can actually do this all with one line, i.e. xm.set_parameters(**parameters).add_source(....)
The beampath layers are added:
xm.add_excitation_path_layer(atomic_numbers=[4], masses=[100], density=1.85, thickness=0.02)
xm.add_detector_path_layer(atomic_numbers=[4], masses=[100], density=1.85, thickness=0.0025)
xm.add_crystal_layer(atomic_numbers=[14], masses=[100], density=2.33, thickness=0.35)
Which behave like regular analyte layers:
xm.add_layer(symbols=['N','O','Ar'],masses=[70,29,1],density=.00122,thickness=3)
xm.add_layer(symbols=['As','Fe'],masses=[50,50],density=7.31,thickness=0.01)
Orientations are defined:
xm.sample_orientation(rthetaphi=[1,270+65,0])
xm.detector_orientation(rthetaphi=[1,135,0])
xm.detector_window(xyz=[0,5.6,0])
The filename is defined for this, although this is not strictly necessary:
xm.set_filename('xmsi_testfile')
And the calculation is run, discarding the massive xmso in favor of the csv file (default):
xm.calculate(M_lines=False, auger_cascade=True,radiative_cascade=False)
We can print out the number of photons from each of the following bands.
print(xm.count_photons(**{'k_a_Fe':[6.098,6.744],'k_b_Fe':[6.7801,7.340],'k_a_As':[10.196,10.890],'k_b_As':[11.472,11.999]}))
xm.get_spectrum()
also returns a plottable spectrum from the xmi file.
If you simply copy the blocks of code together into one file and run it it should give you an output.
Changelog
0.0.1
- Initial Release
0.0.2
- Fixed windows command, but it requires some changing of environment variables to make it run.
- Fixed some header issues with the readme
- Cleaned up example.py file
0.1.0
- Fixing the windows problem broke *nix versions. Fixed.
0.1.1
- Added default of no collimator or detector offset
- Fixed a minor bug in the code (should not change any answers) with element arrays normalizations
0.1.2
- Fixed Readme document type so PyPI handles it correctly
0.1.3
- Allowed larger numbers of interaction counts (greater than 1) in get_spectrum() method
Contributing
Thanks to Tom Schoonjans for creating XMI-MSIM. Special thanks to the vapory package, which some of the inspiration for this code comes from (also a python interface for a third-party utility).
Report problems to my gmail: nsgeorgescu
NGeorgescu : https://github.com/NGeorgescu
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