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.
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:
Export to CSV:
Allows exporting values for multiple atomic numbers to a comma separated values(.csv) file.
Allows you to obtain the M sub shell Fluorescence and Coster-Kronig Yields right in the program for a single atomic number.
Done as a part of research with:
Gurjit Singh Dhindsa
Eastern New Mexico University, Portales, NM, USA
Physics Department, University of Berkeley, California, USA
Nuclear Science Laboratories, Physics Department, Punjabi University, Patiala, India