def __init__(self, inputfile):
self.loc_n = pyalps.loadEigenstateMeasurements([inputfile],
what='N')[0][0].y
self.norb = len(self.loc_n)
props = pyalps.getParameters([inputfile])
orbital_order = []
if "orbital_order" in props:
orbital_order = list(map(int, props["orbital_order"].split(',')))
else:
orbital_order = list(map(int, range(1, self.norb + 1)))
inv_order = []
for i in range(self.norb):
inv_order.append(orbital_order.index(i + 1))
self.orb_order = inv_order
empty_diag = np.zeros(self.norb)
self.corr_cdag_c = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile], what='dm')[0][0])
self.corr_docc = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='doccdocc')[0][0])
def __init__(self, inputfile):
# load data from the HDF5 result file
self.nup = assy_vec(
pyalps.loadEigenstateMeasurements([inputfile], what='Nup')[0][0])
self.ndown = assy_vec(
pyalps.loadEigenstateMeasurements([inputfile], what='Ndown')[0][0])
self.dmup = assy_hc(
self.nup,
pyalps.loadEigenstateMeasurements([inputfile], what='dm_up')[0][0])
self.dmdown = assy_hc(
self.ndown,
pyalps.loadEigenstateMeasurements([inputfile],
what='dm_down')[0][0])
def __init__(self, inputfile):
self.loc_n = pyalps.loadEigenstateMeasurements([inputfile],
what='N')[0][0].y[0]
self.norb = len(self.loc_n)
DMRG_Parms = pyalps.getParameters([inputfile])
orbital_order = map(int, DMRG_Parms[0]['orbital_order'].split(','))
inv_order = []
for i in range(self.norb):
inv_order.append(orbital_order.index(i + 1))
self.orb_order = inv_order
empty_diag = np.zeros(self.norb)
self.corr_cdag_c = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile], what='dm')[0][0])
self.corr_docc = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='doccdocc')[0][0])
def __init__(self, inputfile):
self.loc_nup = assy_vec(
pyalps.loadEigenstateMeasurements([inputfile], what='Nup')[0][0])
self.loc_ndown = assy_vec(
pyalps.loadEigenstateMeasurements([inputfile], what='Ndown')[0][0])
self.loc_docc = assy_vec(
pyalps.loadEigenstateMeasurements([inputfile],
what='Nupdown')[0][0])
self.norb = len(self.loc_nup)
empty_diag = np.zeros(self.norb)
self.corr_cdag_up_c_up = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile], what='dm_up')[0][0])
self.corr_cdag_down_c_down = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='dm_down')[0][0])
self.corr_nupnup = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='nupnup')[0][0])
self.corr_nupndown = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='nupndown')[0][0])
self.corr_ndownnup = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='ndownnup')[0][0])
self.corr_ndownndown = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='ndownndown')[0][0])
self.corr_docc = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='doccdocc')[0][0])
self.corr_trans_up = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements(
[inputfile], what='transfer_up_while_down')[0][0])
self.corr_trans_down = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements(
[inputfile], what='transfer_down_while_up')[0][0])
u1 = pyalps.loadEigenstateMeasurements(
[inputfile], what='transfer_up_while_down_at_2')[0][0]
u2 = pyalps.loadEigenstateMeasurements(
[inputfile], what='transfer_up_while_down_at_1')[0][0]
d1 = pyalps.loadEigenstateMeasurements(
[inputfile], what='transfer_down_while_up_at_2')[0][0]
d2 = pyalps.loadEigenstateMeasurements(
[inputfile], what='transfer_down_while_up_at_1')[0][0]
self.corr_trans_up_down2 = assy_c(empty_diag, u1, u2)
self.corr_trans_up_down1 = assy_c(empty_diag, u2, u1)
self.corr_trans_down_up2 = assy_c(empty_diag, d1, d2)
self.corr_trans_down_up1 = assy_c(empty_diag, d2, d1)
self.corr_trans_pair = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='transfer_pair')[0][0])
self.corr_spinflip = assy_hc(
empty_diag,
pyalps.loadEigenstateMeasurements([inputfile],
what='spinflip')[0][0])
u1 = pyalps.loadEigenstateMeasurements([inputfile],
what='nupdocc')[0][0]
u2 = pyalps.loadEigenstateMeasurements([inputfile],
what='doccnup')[0][0]
self.corr_nupdocc = assy_c(empty_diag, u1, u2)
self.corr_doccnup = assy_c(empty_diag, u2, u1)
u1 = pyalps.loadEigenstateMeasurements([inputfile],
what='ndowndocc')[0][0]
u2 = pyalps.loadEigenstateMeasurements([inputfile],
what='doccndown')[0][0]
self.corr_ndowndocc = assy_c(empty_diag, u1, u2)
self.corr_doccndown = assy_c(empty_diag, u2, u1)