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Research: Python code ‘MFCKYLD-II’ generates M sub shell Fluorescence and Coster-Kronig Yields for elements with Z in the range 57 ≤ Z ≤ 90 for McGuire data and 67 ≤ Z ≤ 90 for Chen et al.’s data.
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README.md

MFCKYLD-II

Inder Dhillon
inderdhillon.com

Description:

Python code ‘MFCKYLD-II’ generates M sub shell Fluorescence and Coster-Kronig Yields for elements with Z in the range 57 ≤ Z ≤ 90 for McGuire data and 67 ≤ Z ≤ 90 for Chen et al.’s data.

Overview:

The program ‘MFCKYLD-II’ predicts M sub-shell Fluorescence and Coster-Kronig Yields for elements by fitting known values with a regression model and using the model to predict values for atomic numbers that don't have known researched values. In paper ‘MFCKYLD-II’ the program language has been updated from Fortran to python for more accessibility by adding a GUI and the program code has been vectorized using the pandas library for faster execution. It can be run on any architecture with a python 3.0+ compiler and on operating systems: Linux, Windows, Mac OS. It is available in python .py file format. The dependency libraries required for execution for the program are:

  • pandas
  • numpy
  • tkinter

Sections:

Export to CSV:

Allows exporting values for multiple atomic numbers to a comma separated values(.csv) file.

Quick View:

Allows you to obtain the M sub shell Fluorescence and Coster-Kronig Yields right in the program for a single atomic number.

Command:

python MFCKYLD.py

Acknowledgements:

Done as a part of research with:

Gurjit Singh Dhindsa
Eastern New Mexico University, Portales, NM, USA
Gurpreet Kaur
Physics Department, University of Berkeley, California, USA
Raj Mittal
Nuclear Science Laboratories, Physics Department, Punjabi University, Patiala, India

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