Fix bugs for energy scan in EIG spectroscopy.

It was impossible to perform an energy scan in EIG spectroscopy.
The calculator and calcio modules were corrected.
We can now compute the spectral radius vs energy with and without
renormalization for EIG spectroscopy mode
The G_n, Sigma_n, Z_n and Lowdin K^2 methods are supported for
the inversion algorithm.

This commit fixes also several issues in the GUI and in the
hemispherical_cluster function
This commit is contained in:
Sylvain Tricot 2019-12-12 16:45:12 +01:00
parent 50a0bb7632
commit cedbfd823e
12 changed files with 98 additions and 45 deletions

4
.gitignore vendored
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@ -1,6 +1,10 @@
__pycache__
*.py[cod]
*.so
*.o
*.mod
*.bak
*.target
htmlcov
package/
src/msspec/results.txt

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@ -15,11 +15,13 @@ endif
.PHONY: clean version selfex venv doc
selfex: results purge
selfex: results
@echo "Creating the self-extractible setup program... "
# copy the src folder and purge it
@cp -r src src_
@+$(MAKE) -C ./src_ purge
# update the version
@cp ./src/msspec/version.py ./src/msspec/version.py.bak
@echo "__version__ = \"$(VERSION)\"" > ./src/msspec/version.py
@echo "__version__ = \"$(VERSION)\"" > ./src_/msspec/version.py
# create the package folder
@mkdir -p package
# create the *.lsm file
@ -38,10 +40,10 @@ selfex: results purge
@echo "Copying-policy: Gnu Library General Public License (GLPL) 2.0" >> msspec.lsm
@echo "End" >> msspec.lsm
# create the self-extractible archive
@$(MAKESELF) --license "./license.txt" --lsm ./msspec.lsm ./src package/$(SETUPFILE) "Python MsSpec" ./install.sh $(SUPPRESS_OUPUT)
# restore previous version.py file and remove *.lsm file
@mv ./src/msspec/version.py.bak ./src/msspec/version.py
@$(MAKESELF) --license "./license.txt" --lsm ./msspec.lsm ./src_ package/$(SETUPFILE) "Python MsSpec" ./install.sh $(SUPPRESS_OUPUT)
# remove *.lsm file and src_
@rm ./msspec.lsm
@rm -rf ./src_
version:

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@ -17,13 +17,8 @@ import sys, os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
sys.path.insert(0, os.path.abspath('.'))
sys.path.insert(0, os.path.abspath('../src'))
sys.path.insert(0, os.path.abspath('../src/msspec'))
sys.path.insert(0, os.path.abspath('../../src'))
sys.path.insert(0, os.path.abspath('../../src/msspec'))
#sys.path.insert(0, os.path.abspath('../'))
sys.path.append(os.path.abspath('./'))
sys.path.append(os.path.abspath('../../src'))
import custom

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@ -8,6 +8,10 @@ import re
import numpy as np
from lxml import etree
print(os.getcwd())
sys.path.append('../../src')
from msspec.calculator import MSSPEC
def get_package_version():
p = subprocess.run(["git describe|sed 's/-/.post/'|cut -d'-' -f1"], shell=True, stdout=subprocess.PIPE)
@ -85,7 +89,6 @@ def generate_parameters(spectroscopy=None):
return content
content = ""
from msspec.calculator import MSSPEC
c = MSSPEC(spectroscopy='PED' if spectroscopy==None else spectroscopy)
c.shutdown()

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@ -36,12 +36,18 @@ tests: pybinding
clean:
@echo "Cleaning all..."
@find ./ -type f -name '*.pyc' -exec rm -f {} +
@find ./ -type d -name '__pycache__' -exec rm -rf {} +
@+$(MAKE) -C msspec/spec/fortran clean $(SUPPRESS_OUPUT)
@+$(MAKE) -C msspec/phagen/fortran clean $(SUPPRESS_OUPUT)
# remove previous sdist
@rm -rf dist
@rm -rf *.egg*
purge: clean
@echo "Removing also shared objects..."
@find ./ -type f -name '*.so' -exec rm -f {} +
help:
@echo "help message"

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@ -589,7 +589,7 @@ class SpecIO(object):
line = fillstr(line, str(p.get_parameter('eigval_idamp')), 39, 'left')
content += line
if p.get_parameter('calctype_spectro') == "EIG":
if p.calctype_spectro == "EIG":
nlines = int(np.ceil(p.eigval_ne / 4.))
else:
nlines = 1
@ -678,10 +678,7 @@ class SpecIO(object):
else:
ibwd_arr = np.zeros((nat), dtype=np.int)
thbwd_arr = np.ones((nat))
print("nat", nat)
print("thbwd_arr", thbwd_arr)
for at in p.extra_atoms:
print(at)
i = at.get('proto_index') - 1
thfwd_arr[i] = at.get('forward_angle')
thbwd_arr[i] = at.get('backward_angle')
@ -947,8 +944,8 @@ class SpecIO(object):
skip = rows2skip[spectro]
data = np.loadtxt(filename, skiprows=skip, unpack=True)
if len(data.shape) <= 1:
data = data.reshape((1, data.shape[0]))
#if len(data.shape) <= 1:
# data = data.reshape((1, data.shape[0]))
return data
def load_facdif(self, filename='facdif1.dat'):

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@ -24,6 +24,7 @@ For more information on MsSpec, follow this
import os
import shutil
import sys
import re
import inspect
@ -68,6 +69,7 @@ from msspec.spec.fortran import eig_pw
from terminaltables.ascii_table import AsciiTable
class _MSCALCULATOR(Calculator):
"""
This class defines an ASE calculator for doing Multiple scattering
@ -282,15 +284,19 @@ class _MSCALCULATOR(Calculator):
self.modified = self.modified or mod1 #or mod0 or mod1
if self.modified:
#if self.modified:
if mod1:
# run phagen
#self._make('tmatrix')
os.chdir(os.path.join(self.tmp_folder, 'output'))
do_phagen()
# rename some output files to be more explicit
os.rename('fort.10', 'cluster.clu')
os.rename('fort.35', 'tmatrix.tl')
os.rename('fort.55', 'tmatrix.rad')
#os.rename('fort.10', 'cluster.clu')
#os.rename('fort.35', 'tmatrix.tl')
#os.rename('fort.55', 'tmatrix.rad')
shutil.copy('fort.10', 'cluster.clu')
shutil.copy('fort.35', 'tmatrix.tl')
shutil.copy('fort.55', 'tmatrix.rad')
os.chdir(self.init_folder)
@ -487,6 +493,12 @@ class _MSCALCULATOR(Calculator):
for p in parameters:
_.append(p)
return _
def add_cluster_to_dset(self, dset):
clusbuf = StringIO()
self.atoms.info['absorber'] = self.atoms.absorber
self.atoms.write(clusbuf, format='xyz')
dset.add_parameter(group='Cluster', name='cluster', value=clusbuf.getvalue(), hidden="True")
def shutdown(self):
"""Removes the temporary folder and all its content.
@ -899,7 +911,7 @@ class _EIG(_MSCALCULATOR):
self.get_tmatrix()
self.run_spec()
# Now load the data
# Now create a dataset
ndset = len(self.iodata)
dset = self.iodata.add_dset('Eigen values calculation [{:d}]'.format(ndset))
for p in self.get_parameters():
@ -911,9 +923,20 @@ class _EIG(_MSCALCULATOR):
results_fname = os.path.join(self.tmp_folder, 'output/results.dat')
data = self.specio.load_results(results_fname)
energy, spec_rad = data
dset.add_columns(energy=energy, spectral_radius=spec_rad)
dset.add_columns(energy=data[:,0], eigen_value=data[:,1])
# create a view
title = 'Spectral radii versus kinetic energy'
xlabel = r'Kinetic energy (eV)'
ylabel = r'Spectral radius'
view = dset.add_view("Spectral radius", title=title, xlabel=xlabel, ylabel=ylabel)
view.select('energy', 'spectral_radius')
# add the cluster to the dataset
self.add_cluster_to_dset(dset)
return self.iodata

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@ -429,7 +429,7 @@ class DataSet(object):
all_indices = np.arange(0, len(self))
indices = all_indices
if len(self) > max_len:
indices = list(range(max_len/2)) + list(range(-max_len/2, 0))
indices = list(range(int(max_len/2))) + list(range(int(-max_len/2), 0))
_i = 0
for i in indices:
@ -940,7 +940,7 @@ class _DataWindow(wx.Frame):
wildcard = "HDF5 files (*.hdf5)|*.hdf5"
dlg = wx.FileDialog(
self, message="Open a file...", defaultDir=os.getcwd(),
defaultFile="", wildcard=wildcard, style=wx.OPEN
defaultFile="", wildcard=wildcard, style=wx.FD_OPEN
)
if dlg.ShowModal() == wx.ID_OK:
@ -964,7 +964,7 @@ class _DataWindow(wx.Frame):
dlg = wx.FileDialog(
self, message="Save file as ...", defaultDir=os.getcwd(),
defaultFile='{}.hdf5'.format(self.data.title.replace(' ','_')),
wildcard=wildcard, style=wx.SAVE)
wildcard=wildcard, style=wx.FD_SAVE)
dlg.SetFilterIndex(0)
if dlg.ShowModal() == wx.ID_OK:

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@ -1,5 +1,5 @@
# coding: utf-8
# vim: set et ts=4 sw=4 sts nu fdm=indent:
# vim: set et ts=4 sw=4 nu fdm=indent:
"""
Module parameters
=================
@ -1383,13 +1383,19 @@ class CalculationParameters(BaseParameters):
doc=textwrap.dedent("""
The scattering order. Only meaningful for the 'expansion' algorithm.
Its value is limited to 10.""")),
Parameter('renormalization_mode', allowed_values=(None, 'G_n', 'Sigma_n'),
Parameter('renormalization_mode', allowed_values=(None, 'G_n', 'Sigma_n',
'Z_n', 'K^2'),
types=(type(None), str), default=None,
doc=textwrap.dedent("""
Enable the calculation of the coefficients for the renormalization of
the multiple scattering series.
Only meaningful for the 'expansion' algorithm. You can choose to
renormalize in terms of the Sigma_n or G_n matrices.""")),
You can choose to renormalize in terms of the :math:`\\Sigma_n`, the
:math:`G_n`, the :math:`Z_n` or the Lowdin :math:`K^2` matrices.
.. note::
Please note that the last two renormalization methods only work
for the Eigen Value mode.""")),
Parameter('renormalization_omega', types=(int,float,complex),
default=1.+0j,
doc=textwrap.dedent("""
@ -1520,14 +1526,29 @@ class CalculationParameters(BaseParameters):
LOGGER.info('Scattering order set to %s', p.value)
def bind_renormalization_mode(self, p):
if p.value is None:
self.spec_parameters.calc_iren = 0
else:
if p.value.lower() == 'G_n'.lower():
self.spec_parameters.calc_iren = 1
elif p.value.lower() == 'Sigma_n'.lower():
self.spec_parameters.calc_iren = 2
iren_map = {None : 0,
'G_n' : 1,
'Sigma_n': 2,
'Z_n' : 3,
'K^2' : 4}
# Check that the method is neither 'Z_n' nor 'K^2' for other
# 'spetroscopy' than EIG
try:
if (self.global_parameters.spectroscopy == 'PED'
and self.global_parameters.algorithm == 'expansion'):
assert( p.value in (None, 'Sigma_n', 'G_n') )
elif (self.global_parameters.spectroscopy == 'EIG'
and self.global_parameters.algorithm == 'inversion'):
assert( p.value in p.allowed_values)
else:
assert( p.value is None )
self.spec_parameters.calc_iren = iren_map[p.value]
LOGGER.info("Renormalization activated with \'{}\' method".format(p.value))
except AssertionError:
LOGGER.error("Renormalization method \'{}\' is not compatible with this "
"spectroscopy/algorithm!".format(p.value))
exit(1)
def bind_renormalization_omega(self, p):
omega = complex(p.value)

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@ -249,7 +249,7 @@ CKMD
ENDIF
CKMD
IF (I_REN.NE.0) THEN
WRITE(IUO2,*) E_KIN,W2(1),REN_R,REN_I
WRITE(IUO2,*) E_KIN,W2(1) !,REN_R,REN_I
ELSE
WRITE(IUO2,*) E_KIN,W2(1)
ENDIF

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@ -251,12 +251,12 @@ def hemispherical_cluster(cluster, emitter_tag=0, emitter_plane=0, diameter=0, p
"""
def get_xypos(cluster, ze, symbol=None):
nmin = None
nmin = np.inf
for atom in cluster:
if ze - eps < atom.z < ze + eps and (atom.symbol == symbol or symbol == None):
n = np.sqrt(atom.x**2 + atom.y**2)
if (n < nmin) or (nmin is None):
if (n < nmin):
nmin = n
iatom = atom.index
@ -270,6 +270,8 @@ def hemispherical_cluster(cluster, emitter_tag=0, emitter_plane=0, diameter=0, p
c = cell[:, 2].max() # a lattice parameter
a = cell[:, 0].max() # a lattice parameter
p = np.alen(np.unique(np.round(cluster.get_positions()[:, 2], 4))) # the number of planes in the cluster
with np.printoptions(threshold=np.inf):
print(cluster.get_tags() == emitter_tag)
symbol = cluster[np.where(cluster.get_tags() == emitter_tag)[0][0]].symbol # the symbol of your emitter
assert (diameter != 0 or planes != 0), "At least one of diameter or planes parameter must be use."
@ -329,4 +331,4 @@ def hemispherical_cluster(cluster, emitter_tag=0, emitter_plane=0, diameter=0, p
ze = all_z[- emitter_plane - 1] # the z-coordinate of the emitter
Atoms.translate(cluster, [0, 0, -ze]) # put the emitter in (0,0,0)
return cluster
return cluster

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@ -1,3 +1,3 @@
# This file is updated at package creation
# DO NOT EDIT
__version__ = ""
__version__ = "1000.0"