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MeanField utilities

Here are a number of miscellaneous utilities related to mean-field files and calculations:

kgrid.x

Utility to generate k-points for BerkeleyGW calculations, originally written for Quantum ESPRESSO DFT calculations. More information here. The format of the input file for kgrid.x is described here.

degeneracy_check.x

Determine which numbers of bands do not break a degenerate subspace, to avoid warnings or errors in Epsilon, Sigma, and BSE codes. Supply any number of binary WFN files as command- line arguments, and a list of numbers that are acceptable for all k-points in all files will be written to standard output.

mf_convert_wrapper.sh

Converts WFN/RHO/VXC files between binary and ASCII. This can be useful for moving files correctly between big- and little-endian machines, or for examining the contents of a file (though wfn_rho_vxc_info.x is more user-friendly). Using this wrapper script, the flavor (real/complex), type of file, and binary/ASCII is determined automatically.

wfn_rho_vxc_info.x

Prints the contents of the header of a (binary) WFN, RHO, or VXC file in a clearly labeled format, for human inspection.

wfnmerge.x

Merges many WFN files into one. It assumes that all input files have the same number and same ordering of G-vectors for the charge density. The number and name of input files is read from wfnmerge.inp, as well is the kgrid and the kshift.

Q: Why would someone want to use this?

A: For example, maybe to do a converged calculation one needs to include a large number of unoccupied states. There may not be the resources (either CPUs or wallclock) to do this all in one shot, so it may be beneficial to split up a calculation of kpoints (e.g., 4x4x4 MP grid) into smaller pieces and then add up the final wavefunctions.

Q: What is the deal with kpoint weights?

A: Quantum Espresso renormalizes the kpoint weights that you use in a calculation. If you are splitting up a MP grid into different groups of kpoints, and each group is normalized, the relative weights between kpoints in different groups is no longer correct. BerkeleyGW does not make use of the kpoint weights (except for in determining whether the Fermi level is reasonable for metallic calculations). So for most uses the fact that these weights are incorrect does not matter. If it matters to you, you can simply modify wfnmerge to read in the kpoint weights of your choosing.

scissors2eqp.x

Write an eqp.dat file based on a WFN file and scissors parameters. For testing equivalence of eqp_corrections and scissors.

fix_occ.x

Fix the occupations of a WFN file. This is useful if you have split a large nscf calculations into smaller blocks, and you want the occupations of the merged WFN to be consistent. It can also fix inconsistencies in the occupations and in the Fermi energy for metals.

wfn_dotproduct.x

Form the overlap between the bands in two wavefunction files. If they are copies of the same file, you can check orthonormality. Only bands at corresponding k-points are considered, since the overlap is zero by Bloch's theorem if the k-points differ. Warning: a known issue is possible errors from gmap when relating k-points by symmetry operations.

wfn_time_reversal.x

Give a WFN file with a k-grid reduced by time-reversal symmetry, and get a new WFN file with the k-points unfolded by time-reversal symmetry. This can save up to half the time in the non-self-consistent DFT calculations for input to BerkeleyGW. It can be used after calculating k-points from kgrid.x with time-reversal symmetry, or from 'automatic' k-points from Quantum ESPRESSO. Either use VXC, or add the new k-points to vxc.dat by hand according to the rule <n,-k|Vxc|m,-k> = <n,k|Vxc|m,k>*.

hdf2wfn.x

Converts a WFN fromthe HDF5 format to the binary Fortran format.

wfn2hdf.x

Converts a WFN from binary Fortran format to the HDF5 format.

extract_patch.py

This script is used within the patched sampling methodology to accelerate convergence of excition binding energies with respect to the k-point sampling. It is used to extract a patch of k-points from a uniform k-grid in kpts_file following the methodology described in PHYSICAL REVIEW B 108, 235117 (2023). Instructions on how to use the script are in the header of the script.