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fix package information in doc installation and some broken links

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Alexander Hampel 2021-09-30 12:17:50 -04:00
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commit da260535d2
3 changed files with 8 additions and 8 deletions
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6
doc/install.rst
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@ -12,7 +12,7 @@ Packaged Versions of DFTTools
Ubuntu Debian packages Ubuntu Debian packages
---------------------- ----------------------
We provide a Debian package for the Ubuntu LTS Versions 16.04 (xenial) and 18.04 (bionic), which can be installed by following the steps outlined :ref:`here <triqslibs:triqs_debian>`, and the subsequent command:: We provide a Debian package for the Ubuntu LTS Versions 18.04 (bionic) and 20.04 (focal), which can be installed by following the steps outlined :ref:`here <triqslibs:ubuntu_debian>`, and the subsequent command::
sudo apt-get install -y triqs_dft_tools sudo apt-get install -y triqs_dft_tools
@ -39,9 +39,9 @@ Compiling DFTTools from source
Prerequisites Prerequisites
------------- -------------
#. The :ref:`TRIQS <triqslibs:welcome>` library, see :ref:`TRIQS installation instruction <triqslibs:installation>`. #. The :ref:`TRIQS <triqslibs:welcome>` library, see :ref:`TRIQS installation instruction <triqslibs:triqs_install>`.
In the following, we assume that TRIQS is installed in the directory ``path_to_triqs``. In the following, we assume that TRIQS is installed in the directory ``path_to_triqs``.
#. Likely, you will also need at least one impurity solver, e.g. the :ref:`CTHYB solver <triqscthyb:welcome>`. #. Likely, you will also need at least one impurity solver, e.g. the `CTHYB solver <https://triqs.github.io/cthyb/latest/>`_.
Installation steps Installation steps
------------------ ------------------

2
doc/tutorials/images_scripts/NiO_local_lattice_GF.py.rst
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@ -1,7 +1,7 @@
.. _NiO_local_lattice_GF.py: .. _NiO_local_lattice_GF.py:
NiO_local_lattice_GF.py NiO_local_lattice_GF.py
----------- -----------------------
Download :download:`NiO_local_lattice_GF.py <./NiO_local_lattice_GF.py>`. Download :download:`NiO_local_lattice_GF.py <./NiO_local_lattice_GF.py>`.

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doc/tutorials/svo_elk/srvo3.rst
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@ -1,6 +1,6 @@
.. _SrVO3_elk: .. _SrVO3_elk:
This example is almost identical to the :ref:`Wien2k-TRIQS SrVO3 example <SrVO3>`. On the example of SrVO3 we will discuss now how to set up a full working calculation using Elk, including the initialization of the :ref:`CTHYB solver <triqscthyb:welcome>`. Some additional parameter are introduced to make the calculation more efficient. This is a more advanced example, which is also suited for parallel execution. This example is almost identical to the :ref:`Wien2k-TRIQS SrVO3 example <SrVO3>`. On the example of SrVO3 we will discuss now how to set up a full working calculation using Elk, including the initialization of the :ref:`CTHYB solver <https://triqs.github.io/cthyb/latest>`_. Some additional parameter are introduced to make the calculation more efficient. This is a more advanced example, which is also suited for parallel execution.
For the convenience of the user, we provide also a full python script (:download:`dft_dmft_cthyb_elk.py <dft_dmft_cthyb_elk.py>`). The user has to adapt it to their own needs. How to execute your script is described :ref:`here<runpy>`. For the convenience of the user, we provide also a full python script (:download:`dft_dmft_cthyb_elk.py <dft_dmft_cthyb_elk.py>`). The user has to adapt it to their own needs. How to execute your script is described :ref:`here<runpy>`.
@ -48,7 +48,7 @@ First, we load the necessary modules::
import triqs.utility.mpi as mpi import triqs.utility.mpi as mpi
The last two lines load the modules for the construction of the The last two lines load the modules for the construction of the
:ref:`CTHYB solver <triqscthyb:welcome>`. :ref:`CTHYB solver <https://triqs.github.io/cthyb/latest/>`_.
Initializing SumkDFT Initializing SumkDFT
-------------------- --------------------
@ -73,7 +73,7 @@ And next, we can initialize the :class:`SumkDFT <dft.sumk_dft.SumkDFT>` class::
Initializing the solver Initializing the solver
----------------------- -----------------------
We also have to specify the :ref:`CTHYB solver <triqscthyb:welcome>` related settings. We assume that the DMFT script for SrVO3 is executed on 16 cores. A sufficient set of parameters for a first guess is:: We also have to specify the :ref:`CTHYB solver <https://triqs.github.io/cthyb/latest>`_ related settings. We assume that the DMFT script for SrVO3 is executed on 16 cores. A sufficient set of parameters for a first guess is::
p = {} p = {}
# solver # solver
@ -86,7 +86,7 @@ We also have to specify the :ref:`CTHYB solver <triqscthyb:welcome>` related set
p["fit_min_n"] = 30 p["fit_min_n"] = 30
p["fit_max_n"] = 60 p["fit_max_n"] = 60
Here we use a tail fit to deal with numerical noise of higher Matsubara frequencies. For other options and more details on the solver parameters, we refer to :ref:`CTHYB solver <triqscthyb:welcome>` documentation. It is important to note that the solver parameters have to be adjusted for each material individually. A guide on how to set the tail fit parameters is given :ref:`below <tailfit>`. Here we use a tail fit to deal with numerical noise of higher Matsubara frequencies. For other options and more details on the solver parameters, we refer to the :ref:`CTHYB solver <https://triqs.github.io/cthyb/latest/reference/constr_parameters.html>`_ documentation. It is important to note that the solver parameters have to be adjusted for each material individually. A guide on how to set the tail fit parameters is given :ref:`below <tailfit>`.
The next step is to initialize the :class:`solver class <triqs_cthyb.Solver>`. It consist of two parts: The next step is to initialize the :class:`solver class <triqs_cthyb.Solver>`. It consist of two parts: