def __init__(
self,
folding=None,
width=0.08, # Gauss/Lorentz width
):
self.folding = folding
Folder.__init__(self, width, folding)
def __init__(self, folding=None, width=0.08):
"""Evaluate the polarizability from sum over states.
Parameters
----------
folding : string or None(default)
Name of the folding function, see gpaw/folder.py for options.
None means do not fold at all.
width : float
The width to be transferred to the folding function.
"""
self.folding = folding
if folding is not None:
Folder.__init__(self, width, folding)
def rotatory_spectrum(exlist=None,
filename=None,
emin=None,
emax=None,
de=None,
energyunit='eV',
folding='Gauss',
width=0.08, # Gauss/Lorentz width
comment=None
):
"""Write out a folded rotatory spectrum.
See spectrum() for explanation of the parameters.
"""
# output
out = sys.stdout
if filename is not None:
out = open(filename, 'w')
if comment:
print('#', comment, file=out)
print('# Rotatory spectrum from linear response TD-DFT', file=out)
print('# GPAW version:', version, file=out)
if folding is not None: # fold the spectrum
print('# %s folded, width=%g [%s]' % (folding, width,
energyunit), file=out)
print('# om [%s] R [cgs]'
% energyunit, file=out)
x = []
y = []
for ex in exlist:
x.append(ex.get_energy() * Hartree)
y.append(ex.get_rotatory_strength())
if energyunit == 'nm':
# transform to experimentally used wavelength [nm]
x = 1.e+9 * 2 * np.pi * _hbar * _c / _e / np.array(x)
y = np.array(y)
elif energyunit != 'eV':
raise RuntimeError('currently only eV and nm are supported')
energies, values = Folder(width, folding).fold(x, y, de, emin, emax)
for e, val in zip(energies, values):
print('%10.5f %12.7e' %
(e, val), file=out)
if filename is not None:
out.close()
def set_folding(self, folding, width):
BaseInducedField.set_folding(self, folding, width)
if self.folding is None:
self.folder = Folder(None, None)
else:
if self.folding == 'Gauss':
self.folder = Folder(self.width, 'ComplexGauss')
elif self.folding == 'Lorentz':
self.folder = Folder(self.width, 'ComplexLorentz')
else:
raise RuntimeError('unknown folding "' + self.folding + '"')
def get_folded_spectrum(
exlist=None,
emin=None,
emax=None,
de=None,
energyunit='eV',
folding='Gauss',
width=0.08, # Gauss/Lorentz width
form='r'):
"""Return folded spectrum."""
x = []
y = []
for ex in exlist:
x.append(ex.get_energy() * Hartree)
y.append(ex.get_oscillator_strength(form))
if energyunit == 'nm':
# transform to experimentally used wavelength [nm]
x = 1.e+9 * 2 * np.pi * _hbar * _c / _e / np.array(x)
elif energyunit != 'eV':
raise RuntimeError('currently only eV and nm are supported')
return Folder(width, folding).fold(x, y, de, emin, emax)
from gpaw.test import equal
from gpaw.utilities.folder import Folder, Lorentz, Voigt # noqa
# Gauss and Lorentz functions
width = 0.5
x = 1.5
equal(Gauss(width).get(x),
exp(- x**2 / 2 / width**2) / sqrt(2 * pi) / width,
1.e-15)
equal(Gauss(width).fwhm, width * np.sqrt(8 * np.log(2)), 1.e-15)
equal(Lorentz(width).get(x),
width / (x**2 + width**2) / pi,
1.e-15)
equal(Lorentz(width).fwhm, width * 2, 1.e-15)
# folder function
for func in [Gauss, Lorentz, Voigt]:
folder = Folder(width, func(width).__class__.__name__)
x = [0, 2]
y = [[2, 0, 1], [1, 1, 1]]
xl, yl = folder.fold(x, y, dx=.7)
# check first value
yy = np.dot(np.array(y)[:, 0], func(width).get(xl[0] - np.array(x)))
equal(yl[0, 0], yy, 1.e-15)
class LrTDDFTInducedField(BaseInducedField):
"""Induced field class for linear response TDDFT.
Attributes (see also ``BaseInducedField``):
-------------------------------------------
lr: LrTDDFT object
LrTDDFT object
"""
def __init__(self, filename=None, paw=None, lr=None, ws='all',
frequencies=None, folding='Gauss', width=0.08,
kickdir=0
):
"""
Parameters (see also ``BaseInducedField``):
-------------------------------------------
paw: GPAW object
GPAW object for ground state
lr: LrTDDFT object
LrTDDFT object
kickdir: int
Kick direction: 0, 1, 2 for x, y, z
"""
# TODO: change kickdir to general kick = [1e-3, 1-e3, 0] etc.
if type(lr) is not LrTDDFT:
raise RuntimeError('Provide LrTDDFT object.')
# Check that lr is diagonalized
if len(lr) == 0:
raise RuntimeError('Diagonalize LrTDDFT first.')
self.lr = lr
# "Kick" direction
self.kickdir = kickdir
self.readwritemode_str_to_list = \
{'': ['Frho', 'atoms'],
'all': ['Frho', 'Fphi', 'Fef', 'Ffe', 'atoms'],
'field': ['Frho', 'Fphi', 'Fef', 'Ffe', 'atoms']}
BaseInducedField.__init__(self, filename, paw, ws,
frequencies, folding, width)
def initialize(self, paw, allocate=True):
BaseInducedField.initialize(self, paw, allocate)
# Artificial background electric field (linear response)
# TODO: change kickdir to general kick = [1e-3, 1-e3, 0] etc.
Fbgef_v = np.zeros((self.nv,), dtype=float)
Fbgef_v[self.kickdir] = 1.0
self.Fbgef_v = Fbgef_v
# Initialize PAW object
self.density.ghat.set_positions(self.atoms.get_scaled_positions())
paw.converge_wave_functions()
def set_folding(self, folding, width):
BaseInducedField.set_folding(self, folding, width)
if self.folding is None:
self.folder = Folder(None, None)
else:
if self.folding == 'Gauss':
self.folder = Folder(self.width, 'ComplexGauss')
elif self.folding == 'Lorentz':
self.folder = Folder(self.width, 'ComplexLorentz')
else:
raise RuntimeError('unknown folding "' + self.folding + '"')
def get_induced_density(self, from_density='comp', gridrefinement=2):
paw = self.paw
lr = self.lr
omega_w = self.omega_w
if gridrefinement == 1:
gd = self.gd
elif gridrefinement == 2:
gd = self.density.finegd
else:
raise NotImplementedError
nkss = len(lr.kss)
nexcs = len(lr)
omega_I = np.empty((nexcs), dtype=float)
# C_Iij: weights for each excitation I and KS-pair ij
C_Iij = np.zeros((nexcs, nkss), dtype=float)
# Calculate C_Iij
FIsqfe_ij = np.zeros((nkss), dtype=float)
for I, exc in enumerate(lr):
omega_I[I] = exc.energy
B = 0.0
for ij, ks in enumerate(lr.kss):
FIsqfe_ij[ij] = exc.f[ij] * np.sqrt(ks.fij * ks.energy)
B += ks.mur[self.kickdir] * FIsqfe_ij[ij]
C_Iij[I] = 2 * B * FIsqfe_ij
# Fold C_Iij to C_wij
# C_wij: weights for each requested frequency w and KS-pair ij
self.omega_w, C_wij = self.folder.fold_values(omega_I, C_Iij, omega_w)
assert (self.omega_w == omega_w).all() # TODO: remove
Fn_wg = gd.zeros((self.nw), dtype=complex)
kpt_u = paw.wfs.kpt_u
for ij, ks_ in enumerate(lr.kss):
# TODO: better output of progress
parprint('%d/%d' % (ij, nkss))
# TODO: speedup:
# for each w, check magnitude of C_wij and
# take C_wij for those ij that contribute most
# Take copy so that memory for pair density is released
# after each loop iteration
ks = ks_.copy()
# Initialize pair density
kpt = kpt_u[ks.spin]
ks.set_paw(paw)
ks.initialize(kpt, ks.i, ks.j)
# Get pair density
# TODO: gridrefinements
yes_finegrid = gridrefinement == 2
if from_density == 'pseudo':
nij_g = ks.get(finegrid=yes_finegrid)
elif from_density == 'comp':
nij_g = ks.with_compensation_charges(finegrid=yes_finegrid)
elif from_density == 'ae':
nij_g = ks.with_ae_corrections(finegrid=yes_finegrid)
# TODO: better to split pair density in pseudo density part
# and FD_asp etc. coefficients (like in time-propagation).
# Then do gridrefinement and add AE/comp corrections afterwards
# -> speedup (no need to do summations on fine grid)
# TODO: speedup: check magnitude of C_wij (see above)
for w in range(self.nw):
Fn_wg[w] += nij_g * C_wij[w, ij]
# Return charge density (electrons = negative charge)
return - Fn_wg, gd
def __init__(self, folding=None, width=0.08, # Gauss/Lorentz width
):
self.folding = folding
Folder.__init__(self, width, folding)
def spectrum(
exlist=None,
filename=None,
emin=None,
emax=None,
de=None,
energyunit='eV',
folding='Gauss',
width=0.08, # Gauss/Lorentz width
comment=None):
"""Write out a folded spectrum.
Parameters:
=============== ===================================================
``exlist`` ExcitationList
``filename`` File name for the output file, STDOUT if not given
``emin`` min. energy, set to cover all energies if not given
``emax`` max. energy, set to cover all energies if not given
``de`` energy spacing
``energyunit`` Energy unit 'eV' or 'nm', default 'eV'
``folding`` Gauss (default) or Lorentz
``width`` folding width in terms of the chosen energyunit
=============== ===================================================
all energies in [eV]
"""
# output
out = sys.stdout
if filename != None:
out = open(filename, 'w')
if comment:
print >> out, '#', comment
print >> out, '# Photoabsorption spectrum from linear response TD-DFT'
print >> out, '# GPAW version:', version
if folding is not None: # fold the spectrum
print >> out, '# %s folded, width=%g [%s]' % (folding, width,
energyunit)
print >> out,\
'# om [%s] osz osz x osz y osz z'\
% energyunit
x = []
y = []
for ex in exlist:
x.append(ex.get_energy() * Hartree)
y.append(ex.get_oscillator_strength())
if energyunit == 'nm':
# transform to experimentally used wavelength [nm]
x = 1.e+9 * 2 * np.pi * _hbar * _c / _e / np.array(x)
y = np.array(y)
elif energyunit != 'eV':
raise RuntimeError('currently only eV and nm are supported')
energies, values = Folder(width, folding).fold(x, y, de, emin, emax)
for e, val in zip(energies, values):
print >> out, "%10.5f %12.7e %12.7e %11.7e %11.7e" % \
(e,val[0],val[1],val[2],val[3])
if filename != None: out.close()
# Gauss and Lorentz functions
width = 0.5
x = 1.5
equal(Gauss(width).get(x),
exp(- x**2 / 2 / width**2) / sqrt(2 * pi) / width,
1.e-15)
equal(Lorentz(width).get(x),
width / (x**2 + width**2) / pi,
1.e-15)
# folder function
for name in ['Gauss', 'Lorentz']:
folder = Folder(width, name)
x = [0, 2]
y = [[2, 0, 1], [1, 1, 1]]
xl, yl = folder.fold(x, y, dx=.7)
# check first value
if name == 'Lorentz':
func = Lorentz(width)
else:
func = Gauss(width)
yy = np.dot(np.array(y)[:, 0], func.get(xl[0] - np.array(x)))
equal(yl[0, 0], yy, 1.e-15)
# write spectrum
plt.axis([-1000, 6000, 0, 1.05])
plt.ylabel('HR factors [a.u.]')
plt.xlabel('frequency [cm-1]')
plt.show()
#Plot Franck-Condon factors
FC, f = a.get_Franck_Condon_factors(n, T, F)
for l in range(len(FC)):
plt.vlines(f[l], 0, FC[l], color=colors[l], label=labels[l], linewidth=2.0)
#Fold the spectrum with a gaussian function
width = 300
folding = 'Gauss'
x = [j for j in chain(*f)]
y = [j for j in chain(*FC)]
X, Y = Folder(width, folding).fold(x, y)
plt.plot(X,
Y * 750,
color='black',
linewidth=2.0,
label='Temperature=' + str(T) + 'K, #quanta=' + str(n) +
', width of gaussian=' + str(width) + 'cm^-1',
linestyle='dashed')
plt.legend(loc='upper right')
plt.axis([-1000, 6000, 0, 0.6])
plt.ylabel('FC factors [a.u.]')
plt.xlabel('frequency [cm-1]')
plt.show()
def dielectric(
exlist,
volume,
filename=None,
emin=None,
emax=None,
de=None,
energyunit='eV',
width=0.08, # width in energyunit
comment=None,
form='v'):
"""Write out the dielectric function
Parameters:
=============== ===================================================
``exlist`` ExcitationList
``volume`` Unit cell volume in Angstrom**3
``filename`` File name for the output file, STDOUT if not given
``emin`` min. energy, set to cover all energies if not given
``emax`` max. energy, set to cover all energies if not given
``de`` energy spacing
``energyunit`` Energy unit 'eV' or 'nm', default 'eV'
``width`` folding width in terms of the chosen energyunit
=============== ===================================================
all energies in [eV]
"""
# output
out = sys.stdout
if filename is not None:
out = open(filename, 'w')
if comment:
print('#', comment, file=out)
print('# Dielec function', file=out)
print('# GPAW version:', gpaw.__version__, file=out)
print('# width={0} [{1}]'.format(width, energyunit), file=out)
if form == 'r':
print('# length form', file=out)
else:
assert (form == 'v')
print('# velocity form', file=out)
print(
'# om [{0}] eps1/eps0 eps2/eps0 n k R'.format(
energyunit),
file=out)
x = []
y = []
for ex in exlist:
x.append(ex.get_energy() * Hartree)
y.append(ex.get_oscillator_strength(form))
if energyunit != 'eV':
raise RuntimeError('currently only eV is supported')
pre = 4. * np.pi / volume * Bohr**3 * Hartree**2
energies, values = Folder(width,
'RealLorentzPole').fold(x, y, de, emin, emax)
eps1 = 1 + pre * values.T[0]
energies, values = Folder(width, 'ImaginaryLorentzPole').fold(
x, y, de, emin, emax)
eps2 = pre * values.T[0]
N = np.sqrt(0.5 * (np.sqrt(eps1**2 + eps2**2) + eps1))
K = np.sqrt(0.5 * (np.sqrt(eps1**2 + eps2**2) - eps1))
R = ((N - 1)**2 + K**2) / ((N + 1)**2 + K**2)
for e, e1, e2, n, k, r in zip(energies, eps1, eps2, N, K, R):
print('%10.5f %12.7e %12.7e %12.7e %12.7e %12.7e' %
(e, e1, e2, n, k, r),
file=out)
if filename is not None:
out.close()
