def __init__(self, filename):
"""
Constructor.
filename -- filename to get info from, either Gaussian (out, g03) or netCDF file (nc)
"""
self.file = filename
if os.path.exists(filename):
ext = filename.split('.')[-1]
self.complex = filename.split('.')[-2]
#print ext
if ext == 'nc':
self.type = 'nc'
# read directly from nc to avoid calculation
#self.data = netCDF(filename,'r')
self.data = Jacapo.read_atoms(filename)
elif ext == 'out' or ext == 'g03' or ext == 'log':
gout = Gaussian(filename)
gout.logger.setLevel(logging.ERROR)
self.type = 'gau'
self.data = gout.parse()
else:
raise Exception, 'File is not of identifiable format'
class BandStructure:
'''outline of class to facilitate band structure calculations
'''
def __init__(self, atoms, BZpath=[], npoints=10, outnc='harris.nc'):
"""Headline here ... XXX.
atoms is an ase.Atoms object with calculator
attached. Presumably the self-consistent charge density has
already been calculated, otherwise, it will be.
BZpath is a list of tuples describing the path through the
Brillouin zone. The tuples have the form (label, kpt), e.g. ::
[('$\Gamma$',[0.0, 0.0, 0.0]),
('X',[0.0, 0.5, 0.5]),
('L',[0.5, 0.0, 0.0]),
('$\Gamma$',[0.0, 0.0, 0.0])]
the label is used in the figure and can include latex markup.
npoints is the number of points on each segment. It can either
be a constant, which is used for every segment, or a list of
integers that is an integer for each segment.
"""
self.atoms = atoms
self.calc = atoms.get_calculator()
#first, we make sure the charge density is up to date.
self.calc.get_charge_density()
self.ef = self.calc.get_ef() #self-consistent fermi level
self.labels = [x[0] for x in BZpath]
self.kpt_path = [np.array(x[1], dtype=np.float) for x in BZpath]
self.npoints = npoints
#first, setup the kpt path
kpts = []
#start at second kpt and go to second to last segment
nsegments = len(self.kpt_path) - 1
for i in range(nsegments - 1):
#get number of points on path. this counts the first point
try:
i_npt = npoints[i]
except TypeError:
i_npt = npoints
#this is the vector connecting the two endpoint kpts of a segment
kdiff = self.kpt_path[i + 1] - self.kpt_path[i]
#make a vector of evenly spaced intervals, one longer than needed
#because we chop off the last entry.
for j in np.linspace(0, 1, i_npt + 1)[0:-1]:
k = self.kpt_path[i] + j * kdiff
#shift by small random amount to break symmetry and
#prevent time-inversion reduction
krand = (1. + np.random.random(3)) / 1.e4
k += krand
kpts.append(k)
#now fill in the last segment, and end on the last point
try:
i_npt = npoints[-1]
except TypeError:
i_npt = npoints
kdiff = self.kpt_path[-1] - self.kpt_path[-2]
for j in np.linspace(0, 1, i_npt + 1)[1:]:
k = self.kpt_path[-2] + j * kdiff
#shift by small random amount to break symmetry and
#prevent time-inversion reduction
krand = (1. + np.random.random(3)) / 1.e4
k += krand
kpts.append(k)
#these are now the points needed for the Harris calculation.
self.kpts = kpts
self.dos = DOS(self.calc)
self.dos_energies = self.dos.get_energies()
self.dos_dos = self.dos.get_dos()
#try to avoid rerunning the calculation if it is already done!
if os.path.exists(outnc):
self.calc = Jacapo(outnc)
else:
print('calculation of harris required')
self.calc.set_nc(outnc)
#self.calc.debug=10
#save some time by not calculating stress
self.calc.set_stress(False)
#this seems to be necessary sometimes
self.calc.delete_ncattdimvar(outnc, ncdims=['number_plane_waves'])
#this has to come after removing number_of_planewaves
self.calc.set_kpts(self.kpts)
#freeze charge density
self.calc.set_charge_mixing(updatecharge='No')
#and, run calculation
self.calc.calculate()
def plot(self):
'''
Make an interactive band-structure plot.
clicking on a band will make it thicker and print which band was selected.
'''
# kpoints = self.calc.get_ibz_kpoints()
eigenvalues = self.calc.get_all_eigenvalues() - self.ef
#eigenvalues = np.array([self.calc.get_eigenvalues(kpt=i)-self.ef
# for i in range(len(kpoints))])
self.handles = [] #used to get band indexes from plot
fig = plt.figure()
#plot DOS in figure
ax = fig.add_subplot(122)
ax.plot(self.dos_dos, self.dos_energies)
plt.title('self-consistent Total DOS')
ax.set_xticks([])
ax.set_yticks([])
ax.set_ylim([-20, 20])
ax = fig.add_subplot(121)
ax.set_title('Band structure')
def onpick(event):
'make picked line bolder, set oldline back to regular thickness'
self.lastartist.set_linewidth(1)
self.lastartist = thisline = event.artist
thisline.set_linewidth(5)
plt.draw() #needed to update linewidth
print('Band %i selected' % self.handles.index(thisline))
#you could insert code here to plot wavefunction, etc...
fig.canvas.mpl_connect('pick_event', onpick)
#we use indices for x. the tick labels are not shown and the distance
#appears unimportant
xdata = list(range(len(eigenvalues)))
nkpts, nbands = eigenvalues.shape
for i in range(nbands):
#eigenvalues has shape(nkpts,nbands)
#note the comma after line_handle
line_handle, = ax.plot(xdata,
eigenvalues[:, i],
'.-',
ms=1,
picker=2)
self.handles.append(line_handle)
self.lastartist = self.handles[-1]
#plot Fermi level
ax.plot([0, len(self.kpts)], [0, 0], 'k--', label='$E_f$')
plt.xlabel('|k|')
plt.ylabel('$E-E_f$ (eV)')
#set xtick locations and labels
xtick_locs = np.zeros(len(self.kpt_path))
try:
#this means the npoints is a list
# i_npt = self.npoints[0]
for j, npt in enumerate(1, self.npoints):
xtick_locs[j] = xtick_locs[j - 1] + npt
except TypeError:
#npoints is a single number
for j in range(1, len(self.labels)):
xtick_locs[j] = xtick_locs[j - 1] + self.npoints
#the last location is off by one, so we fix it.
xtick_locs[-1] -= 1
ax.set_xlim([xtick_locs[0], xtick_locs[-1]])
ax.set_xticks(xtick_locs)
ax.set_xticklabels(self.labels)
#this seems reasonable to avoid very deep energy states and high energy states
ax.set_ylim([-20, 20])
plt.show()
return fig
mol = 'NH3'
atoms = Atoms(mol, positions=molecules.data[mol]['positions'])
sg = SYMMOL(atoms)
print(sg.get_point_group())
print(sg.get_moments_of_inertia())
print(atoms.get_moments_of_inertia())
print(sg.get_symmetry_operators())
if __name__ == '__main__':
from ase.calculators.jacapo import Jacapo
from optparse import OptionParser
parser = OptionParser(usage='symmol.py ncfile', version='0.1')
parser.add_option('-f', nargs=0, help='print full output')
parser.add_option('-o', nargs=1, help='save output in filename')
options, args = parser.parse_args()
for ncfile in args:
sy = SYMMOL(Jacapo.read_atoms(ncfile), outfile=options.o)
print('Point group = ', sy.get_point_group())
print('Moments of inertia = ', sy.get_moments_of_inertia())
print('Symmetry operators = ', sy.get_symmetry_operators())
if options.f is not None:
print(sy)
def __init__(self, atoms, BZpath=[], npoints=10, outnc='harris.nc'):
"""Headline here ... XXX.
atoms is an ase.Atoms object with calculator
attached. Presumably the self-consistent charge density has
already been calculated, otherwise, it will be.
BZpath is a list of tuples describing the path through the
Brillouin zone. The tuples have the form (label, kpt), e.g. ::
[('$\Gamma$',[0.0, 0.0, 0.0]),
('X',[0.0, 0.5, 0.5]),
('L',[0.5, 0.0, 0.0]),
('$\Gamma$',[0.0, 0.0, 0.0])]
the label is used in the figure and can include latex markup.
npoints is the number of points on each segment. It can either
be a constant, which is used for every segment, or a list of
integers that is an integer for each segment.
"""
self.atoms = atoms
self.calc = atoms.get_calculator()
#first, we make sure the charge density is up to date.
self.calc.get_charge_density()
self.ef = self.calc.get_ef() #self-consistent fermi level
self.labels = [x[0] for x in BZpath]
self.kpt_path = [np.array(x[1], dtype=np.float) for x in BZpath]
self.npoints = npoints
#first, setup the kpt path
kpts = []
#start at second kpt and go to second to last segment
nsegments = len(self.kpt_path) - 1
for i in range(nsegments - 1):
#get number of points on path. this counts the first point
try:
i_npt = npoints[i]
except TypeError:
i_npt = npoints
#this is the vector connecting the two endpoint kpts of a segment
kdiff = self.kpt_path[i + 1] - self.kpt_path[i]
#make a vector of evenly spaced intervals, one longer than needed
#because we chop off the last entry.
for j in np.linspace(0, 1, i_npt + 1)[0:-1]:
k = self.kpt_path[i] + j * kdiff
#shift by small random amount to break symmetry and
#prevent time-inversion reduction
krand = (1. + np.random.random(3)) / 1.e4
k += krand
kpts.append(k)
#now fill in the last segment, and end on the last point
try:
i_npt = npoints[-1]
except TypeError:
i_npt = npoints
kdiff = self.kpt_path[-1] - self.kpt_path[-2]
for j in np.linspace(0, 1, i_npt + 1)[1:]:
k = self.kpt_path[-2] + j * kdiff
#shift by small random amount to break symmetry and
#prevent time-inversion reduction
krand = (1. + np.random.random(3)) / 1.e4
k += krand
kpts.append(k)
#these are now the points needed for the Harris calculation.
self.kpts = kpts
self.dos = DOS(self.calc)
self.dos_energies = self.dos.get_energies()
self.dos_dos = self.dos.get_dos()
#try to avoid rerunning the calculation if it is already done!
if os.path.exists(outnc):
self.calc = Jacapo(outnc)
else:
print('calculation of harris required')
self.calc.set_nc(outnc)
#self.calc.debug=10
#save some time by not calculating stress
self.calc.set_stress(False)
#this seems to be necessary sometimes
self.calc.delete_ncattdimvar(outnc, ncdims=['number_plane_waves'])
#this has to come after removing number_of_planewaves
self.calc.set_kpts(self.kpts)
#freeze charge density
self.calc.set_charge_mixing(updatecharge='No')
#and, run calculation
self.calc.calculate()
cmd = 'bader -p all_atom %s' % (self.densityfile)
print(cmd)
os.system(cmd)
def write_all_bader(self):
'''
-p all_bader Write all Bader volumes (containing charge above
threshold of 0.0001) to a file. The charge distribution in
each volume is written to a separate file, named
Bvolxxxx.dat. It will either be of a CHGCAR format or a CUBE
file format, depending on the format of the initial charge
density file. These files can be quite large, so this option
should be used with caution.
'''
cmd = 'bader -p all_bader %s' % (self.densityfile)
print(cmd)
os.system(cmd)
if __name__ == '__main__':
from ase.calculators.jacapo import Jacapo
atoms = Jacapo.read_atoms('ethylene.nc')
b = Bader(atoms)
print(b.get_bader_charges())
print(b.get_bader_volumes())
b.write_atom_volume([3, 4])
'ScientificPython version 2.8 or greater is required')
except (ImportError, NotAvailable):
print "No Scientific python found. Check your PYTHONPATH"
raise NotAvailable('ScientificPython version 2.8 or greater is required')
if not (os.system('which dacapo.run') == 0):
print "No Dacapo Fortran executable (dacapo.run) found. Check your path settings."
raise NotAvailable(
'dacapo.run is not installed on this machine or not in the path')
# Now Scientific 2.8 and dacapo.run should both be available
from ase import Atoms, Atom
from ase.calculators.jacapo import Jacapo
atoms = Atoms([Atom('H', [0, 0, 0])], cell=(2, 2, 2))
calc = Jacapo('Jacapo-test.nc',
pw=200,
nbands=2,
kpts=(1, 1, 1),
spinpol=False,
dipole=False,
symmetry=False,
ft=0.01)
atoms.set_calculator(calc)
print atoms.get_potential_energy()
os.system('rm -f Jacapo-test.nc Jacapo-test.txt')
return string.join(self.output)
def get_space_group(self):
regexp = re.compile('^Space Group')
for line in self.output:
if regexp.search(line):
return line
if __name__ == '__main__':
from ase.calculators.jacapo import Jacapo
from optparse import OptionParser
parser = OptionParser(usage='findsym.py ncfile', version='0.1')
parser.add_option('-f', nargs=0, help='print full output')
parser.add_option('-o', nargs=1, help='save output in filename')
options, args = parser.parse_args()
for ncfile in args:
sg = FINDSYM(Jacapo.read_atoms(ncfile), outfile=options.o)
print(sg.get_space_group())
if options.f is not None:
print(sg)
'''
cmd = 'bader -p all_atom %s' % (self.densityfile)
print cmd
os.system(cmd)
def write_all_bader(self):
'''
-p all_bader Write all Bader volumes (containing charge above
threshold of 0.0001) to a file. The charge distribution in
each volume is written to a separate file, named
Bvolxxxx.dat. It will either be of a CHGCAR format or a CUBE
file format, depending on the format of the initial charge
density file. These files can be quite large, so this option
should be used with caution.
'''
cmd = 'bader -p all_bader %s' % (self.densityfile)
print cmd
os.system(cmd)
if __name__ == '__main__':
from ase.calculators.jacapo import Jacapo
atoms = Jacapo.read_atoms('ethylene.nc')
b = Bader(atoms)
print b.get_bader_charges()
print b.get_bader_volumes()
b.write_atom_volume([3, 4])
index += 5
symmetry_operators.append(temparray)
taus.append(array(temptau))
return symmetry_operators, taus
if __name__ == '__main__':
from ase.calculators.jacapo import Jacapo
from optparse import OptionParser
parser = OptionParser(usage='sgroup.py ncfile', version='0.1')
parser.add_option('-f', nargs=0, help='print full output')
parser.add_option('-o', nargs=1, help='save output in filename')
options, args = parser.parse_args()
#print options
for ncfile in args:
sg = SGROUP(Jacapo.read_atoms(ncfile), outfile=options.o)
print(sg.get_space_group())
if options.f is not None:
print(sg)
