Repository contains fortran and python script for evaluation and plotting of solar Lorentz stress kernel.
Local directory should contain the following data files:
- egvt.sfopal5h5: binary file containing eigenfunctions in compact form
- sfopal5h5: binary file containing r gridpoints and rho values
Sequence:
- Run read_eig.f90. Reads egvt.sfopal5h5 and saves eigenfunctions in separate files.
- Run mince_eig.py. Reads eigenfunctions from above created files and saves individual modes in new directory eig_files.
- Run plot_kern.py. Plots required component of kernel for required modes.
- Python Libraries required: numpy, sympy, matplotlob, os
- Python version used: 2.7.15
- Fortran version used: GNU Fortran 7.4.0
- CAUTION: Running this code will generate data files of cumulative size ~ 2.5GB