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removed conversion step from dmft single-shot description

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aichhorn 2015-08-14 13:53:40 +02:00
parent 6fff56fe8d
commit 5ebedd8d85
4 changed files with 14 additions and 18 deletions
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2
doc/documentation.rst
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@ -24,8 +24,8 @@ User guide
guide/conversion guide/conversion
guide/dftdmft_singleshot guide/dftdmft_singleshot
guide/dftdmft_selfcons guide/dftdmft_selfcons
guide/analysis
guide/full_tutorial guide/full_tutorial
guide/analysis
guide/transport guide/transport

13
doc/guide/dftdmft_singleshot.rst
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@ -114,7 +114,6 @@ scripts to his own needs.
First, we load the necessary modules:: First, we load the necessary modules::
from pytriqs.applications.dft.sumk_dft import * from pytriqs.applications.dft.sumk_dft import *
from pytriqs.applications.dft.converters.wien2k_converter import *
from pytriqs.gf.local import * from pytriqs.gf.local import *
from pytriqs.archive import HDFArchive from pytriqs.archive import HDFArchive
from pytriqs.operators.util import * from pytriqs.operators.util import *
@ -146,14 +145,8 @@ Most of these parameters are self-explanatory. The first,
details on the solver parameters, we refer the user to details on the solver parameters, we refer the user to
the :ref:`CTHYB solver <triqscthyb:welcome>` documentation. the :ref:`CTHYB solver <triqscthyb:welcome>` documentation.
The next step, as described in the previous section, is to convert the input files:: We assume that the conversion to the hdf5 archive is alreadz done. We
can check now in this archive, if previous runs are present, or if we have to start
Converter = Wien2kConverter(filename=dft_filename, repacking=True)
Converter.convert_dft_input()
mpi.barrier()
The command ``mpi.barrier()`` ensures that all nodes wait until the conversion of the input is finished on the master
node. After the conversion, we can check in the hdf5 archive, if previous runs are present, or if we have to start
from scratch:: from scratch::
previous_runs = 0 previous_runs = 0
@ -173,7 +166,7 @@ from scratch::
You can see in this code snipet, that all results of this calculation You can see in this code snipet, that all results of this calculation
will be stored in a separate subgroup in the hdf file, called will be stored in a separate subgroup in the hdf5 file, called
`dmft_output`. Removing this subgroup allows you to reset your `dmft_output`. Removing this subgroup allows you to reset your
calculation to the starting point easily. calculation to the starting point easily.

9
doc/guide/images_scripts/dft_dmft_cthyb.py
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@ -4,7 +4,6 @@ from pytriqs.archive import HDFArchive
from pytriqs.applications.impurity_solvers.cthyb import * from pytriqs.applications.impurity_solvers.cthyb import *
from pytriqs.gf.local import * from pytriqs.gf.local import *
from pytriqs.applications.dft.sumk_dft import * from pytriqs.applications.dft.sumk_dft import *
from pytriqs.applications.dft.converters.wien2k_converter import *
dft_filename='SrVO3' dft_filename='SrVO3'
U = U.0 U = U.0
@ -25,9 +24,11 @@ p["length_cycle"] = 50
p["n_warmup_cycles"] = 50 p["n_warmup_cycles"] = 50
p["n_cycles"] = 5000 p["n_cycles"] = 5000
Converter = Wien2kConverter(filename=dft_filename, repacking=True) # If conversion step was not done, we could do it here. Uncomment the lines it you want to do this.
Converter.convert_dft_input() #from pytriqs.applications.dft.converters.wien2k_converter import *
mpi.barrier() #Converter = Wien2kConverter(filename=dft_filename, repacking=True)
#Converter.convert_dft_input()
#mpi.barrier()
previous_runs = 0 previous_runs = 0
previous_present = False previous_present = False

8
doc/guide/images_scripts/dft_dmft_cthyb_slater.py
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@ -25,9 +25,11 @@ p["length_cycle"] = 50
p["n_warmup_cycles"] = 50 p["n_warmup_cycles"] = 50
p["n_cycles"] = 5000 p["n_cycles"] = 5000
Converter = Wien2kConverter(filename=dft_filename, repacking=True) # If conversion step was not done, we could do it here. Uncomment the lines it you want to do this.
Converter.convert_dft_input() #from pytriqs.applications.dft.converters.wien2k_converter import *
mpi.barrier() #Converter = Wien2kConverter(filename=dft_filename, repacking=True)
#Converter.convert_dft_input()
#mpi.barrier()
previous_runs = 0 previous_runs = 0
previous_present = False previous_present = False