dft_tools/doc/guide/analysis.rst

147 lines
7.9 KiB
ReStructuredText
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

.. _analysis:
Tools for analysis
==================
This section explains how to use some tools of the package in order to analyse the data.
There are two practical tools for which a self energy on the real axis is not needed, namely:
* :meth:`dos_wannier_basis <dft.sumk_dft_tools.SumkDFTTools.dos_wannier_basis>` for the density of states of the Wannier orbitals and
* :meth:`partial_charges <dft.sumk_dft_tools.SumkDFTTools.partial_charges>` for the partial charges according to the Wien2k definition.
However, a real-frequency self energy has to be provided by the user for the methods:
* :meth:`dos_parproj_basis <dft.sumk_dft_tools.SumkDFTTools.dos_parproj_basis>` for the momentum-integrated spectral function including self energy effects and
* :meth:`spaghettis <dft.sumk_dft_tools.SumkDFTTools.spaghettis>` for the momentum-resolved spectral function (i.e. ARPES)
.. note::
This package does NOT provide an explicit method to do an **analytic continuation** of
self energies and Green functions from Matsubara frequencies to the real-frequency axis,
but a list of options available within the TRIQS framework is given :ref:`here <ac>`.
Keep in mind that all these methods have to be used very carefully!
Initialisation
--------------
All tools described below are collected in an extension of the :class:`SumkDFT <dft.sumk_dft.SumkDFT>` class and are
loaded by importing the module :class:`SumkDFTTools <dft.sumk_dft_tools.SumkDFTTools>`::
from triqs_dft_tools.sumk_dft_tools import *
The initialisation of the class is equivalent to that of the :class:`SumkDFT <dft.sumk_dft.SumkDFT>`
class::
SK = SumkDFTTools(hdf_file = filename + '.h5')
Note that all routines available in :class:`SumkDFT <dft.sumk_dft.SumkDFT>` are also available here.
If required, we have to load and initialise the real-frequency self energy. Most conveniently,
you have your self energy already stored as a real-frequency :class:`BlockGf <pytriqs.gf.BlockGf>` object
in a hdf5 file::
with HDFArchive('case.h5', 'r') as ar:
SigmaReFreq = ar['dmft_output']['Sigma_w']
You may also have your self energy stored in text files. For this case the :ref:`TRIQS <triqslibs:welcome>` library offers
the function :meth:`read_gf_from_txt`, which is able to load the data from text files of one Green function block
into a real-frequency :class:`ReFreqGf <pytriqs.gf.ReFreqGf>` object. Loading each block separately and
building up a :class:´BlockGf <pytriqs.gf.BlockGf>´ is done with::
from pytriqs.gf.tools import *
# get block names
n_list = [n for n,nl in SK.gf_struct_solver[0].iteritems()]
# load sigma for each block - in this example sigma is composed of 1x1 blocks
g_blocks = [read_gf_from_txt(block_txtfiles=[['Sigma_'+name+'.dat']], block_name=n) for n in n_list]
# put the data into a BlockGf object
SigmaReFreq = BlockGf(name_list=n_list, block_list=g_blocks, make_copies=False)
where:
* `block_txtfiles` is a rank 2 square np.array(str) or list[list[str]] holding the file names of one block and
* `block_name` is the name of the block.
It is important that each data file has to contain three columns: the real-frequency mesh, the real part and the imaginary part
of the self energy - exactly in this order! The mesh should be the same for all files read in and non-uniform meshes are not supported.
Finally, we set the self energy into the `SK` object::
SK.set_Sigma([SigmaReFreq])
and additionally set the chemical potential and the double counting correction from the DMFT calculation::
chemical_potential, dc_imp, dc_energ = SK.load(['chemical_potential','dc_imp','dc_energ'])
SK.set_mu(chemical_potential)
SK.set_dc(dc_imp,dc_energ)
.. _dos_wannier:
Density of states of the Wannier orbitals
-----------------------------------------
For plotting the density of states of the Wannier orbitals, you type::
SK.dos_wannier_basis(broadening=0.03, mesh=[om_min, om_max, n_om], with_Sigma=False, with_dc=False, save_to_file=True)
which produces plots between the real frequencies `om_min` and `om_max`, using a mesh of `n_om` points. The parameter
`broadening` defines an additional Lorentzian broadening, and has the default value of `0.01 eV`. To check the Wannier
density of states after the projection set `with_Sigma` and `with_dc` to `False`. If `save_to_file` is set to `True`
the output is printed into the files
* `DOS_wannier_(sp).dat`: The total DOS, where `(sp)` stands for `up`, `down`, or combined `ud`. The latter case
is relevant for calculations including spin-orbit interaction.
* `DOS_wannier_(sp)_proj(i).dat`: The DOS projected to an orbital with index `(i)`. The index `(i)` refers to
the indices given in ``SK.shells``.
* `DOS_wannier_(sp)_proj(i)_(m)_(n).dat`: As above, but printed as orbitally-resolved matrix in indices
`(m)` and `(n)`. For `d` orbitals, it gives the DOS separately for, e.g., :math:`d_{xy}`, :math:`d_{x^2-y^2}`, and so on,
otherwise, the output is returned by the function for a further usage in :program:`python`.
Partial charges
---------------
Since we can calculate the partial charges directly from the Matsubara Green functions, we also do not need a
real-frequency self energy for this purpose. The calculation is done by::
SK.set_Sigma(SigmaImFreq)
dm = SK.partial_charges(beta=40.0, with_Sigma=True, with_dc=True)
which calculates the partial charges using the self energy, double counting, and chemical potential as set in the
`SK` object. On return, `dm` is a list, where the list items correspond to the density matrices of all shells
defined in the list `SK.shells`. This list is constructed by the Wien2k converter routines and stored automatically
in the hdf5 archive. For the structure of `dm`, see also :meth:`reference manual <dft.sumk_dft_tools.SumkDFTTools.partial_charges>`.
Correlated spectral function (with real-frequency self energy)
--------------------------------------------------------------
To produce both the momentum-integrated (total density of states or DOS) and orbitally-resolved (partial/projected DOS) spectral functions
we can execute::
SK.dos_parproj_basis(broadening=0.0, with_Sigma=True, with_dc=True, save_to_file=True)
The variable `broadening` is an additional Lorentzian broadening (default: `0.01 eV`) applied to the resulting spectra.
The output is written in the same way as described above for the :ref:`Wannier density of states <dos_wannier>`, but with filenames
`DOS_parproj_*` instead.
Momentum resolved spectral function (with real-frequency self energy)
---------------------------------------------------------------------
Another quantity of interest is the momentum-resolved spectral function, which can directly be compared to ARPES
experiments. First we have to execute `lapw1`, `lapw2 -almd` and :program:`dmftproj` with the `-band`
option and use the :meth:`convert_bands_input <dft.converters.wien2k_converter.Wien2kConverter.convert_bands_input>`
routine, which converts the required files (for a more detailed description see :ref:`conversion`). The spectral function is then calculated by typing::
SK.spaghettis(broadening=0.01,plot_shift=0.0,plot_range=None,ishell=None,save_to_file='Akw_')
Here, optional parameters are
* `shift`: An additional shift added as `(ik-1)*shift`, where `ik` is the index of the `k` point. This is useful for plotting purposes.
The default value is 0.0.
* `plotrange`: A list with two entries, :math:`\omega_{min}` and :math:`\omega_{max}`, which set the plot
range for the output. The default value is `None`, in which case the full momentum range as given in the self energy is used.
* `ishell`: An integer denoting the orbital index `ishell` onto which the spectral function is projected. The resulting function is saved in
the files. The default value is `None`. Note for experts: The spectra are not rotated to the local coordinate system used in Wien2k.
The output is written as the 3-column files ``Akw(sp).dat``, where `(sp)` is defined as above. The output format is
`k`, :math:`\omega`, `value`.