feat: functions which extracts npr fourquark vertices now constructs

Lorentz scalars.
This commit is contained in:
Fabian Joswig 2021-11-30 17:05:00 +00:00
parent 58ccd11e48
commit aec90803ef

View file

@ -224,7 +224,7 @@ def read_Bilinear_hd5(path, filestem, ens_id, idl=None):
return result_dict
def read_Fourquark_hd5(path, filestem, ens_id, idl=None):
def read_Fourquark_hd5(path, filestem, ens_id, idl=None, vertices=["VA", "AV"]):
"""Read hadrons FourquarkFullyConnected hdf5 file and output an array of CObs
Parameters
@ -237,6 +237,8 @@ def read_Fourquark_hd5(path, filestem, ens_id, idl=None):
name of the ensemble, required for internal bookkeeping
idl : range
If specified only configurations in the given range are read in.
vertices : list
Vertex functions to be extracted.
"""
files, idx = _get_files(path, filestem, idl)
@ -244,6 +246,11 @@ def read_Fourquark_hd5(path, filestem, ens_id, idl=None):
mom_in = None
mom_out = None
vertex_names = []
for vertex in vertices:
vertex_names += _get_lorentz_names(vertex)
print(vertex_names)
corr_data = {}
tree = 'FourQuarkFullyConnected/FourQuarkFullyConnected_'
@ -251,25 +258,35 @@ def read_Fourquark_hd5(path, filestem, ens_id, idl=None):
for hd5_file in files:
file = h5py.File(path + '/' + hd5_file, "r")
for i in range(1):
name = file[tree + str(i) + '/info'].attrs['gammaA'][0].decode('UTF-8') + '_' + file[tree + str(i) + '/info'].attrs['gammaB'][0].decode('UTF-8')
if name not in corr_data:
corr_data[name] = []
raw_data = file[tree + str(i) + '/corr'][0][0].view('complex')
corr_data[name].append(raw_data)
if mom_in is None:
mom_in = np.array(str(file[tree + str(i) + '/info'].attrs['pIn'])[3:-2].strip().split(' '), dtype=int)
if mom_out is None:
mom_out = np.array(str(file[tree + str(i) + '/info'].attrs['pOut'])[3:-2].strip().split(' '), dtype=int)
for i in range(32):
name = (file[tree + str(i) + '/info'].attrs['gammaA'][0].decode('UTF-8'), file[tree + str(i) + '/info'].attrs['gammaB'][0].decode('UTF-8'))
if name in vertex_names:
if name not in corr_data:
corr_data[name] = []
raw_data = file[tree + str(i) + '/corr'][0][0].view('complex')
corr_data[name].append(raw_data)
if mom_in is None:
mom_in = np.array(str(file[tree + str(i) + '/info'].attrs['pIn'])[3:-2].strip().split(' '), dtype=int)
if mom_out is None:
mom_out = np.array(str(file[tree + str(i) + '/info'].attrs['pOut'])[3:-2].strip().split(' '), dtype=int)
file.close()
intermediate_dict = {}
for vertex in vertices:
lorentz_names = _get_lorentz_names(vertex)
for v_name in lorentz_names:
if vertex not in intermediate_dict:
intermediate_dict[vertex] = np.array(corr_data[v_name])
else:
intermediate_dict[vertex] += np.array(corr_data[v_name])
result_dict = {}
for key, data in corr_data.items():
local_data = np.array(data)
for key, data in intermediate_dict.items():
rolled_array = np.moveaxis(local_data, 0, 8)
rolled_array = np.moveaxis(data, 0, 8)
matrix = np.empty((rolled_array.shape[:-1]), dtype=object)
for index in np.ndindex(rolled_array.shape[:-1]):
@ -281,3 +298,36 @@ def read_Fourquark_hd5(path, filestem, ens_id, idl=None):
# result_dict[key] = Npr_matrix(matrix.swapaxes(1, 2).reshape((12, 12), order='F'), mom_in=mom_in, mom_out=mom_out)
return result_dict
def _get_lorentz_names(name):
assert len(name) == 2
res = []
if not set(name) <= set(['S', 'P', 'V', 'A', 'T']):
raise Exception("Name can only contain 'S', 'P', 'V', 'A' or 'T'")
if 'S' in name or 'P' in name:
if not set(name) <= set(['S', 'P']):
raise Exception("'" + name + "' is not a Lorentz scalar")
g_names = {'S': 'Identity',
'P': 'Gamma5'}
res.append((g_names[name[0]], g_names[name[1]]))
elif 'T' in name:
if not set(name) <= set(['T']):
raise Exception("'" + name + "' is not a Lorentz scalar")
raise Exception("Tensor operators not yet implemented.")
else:
if not set(name) <= set(['V', 'A']):
raise Exception("'" + name + "' is not a Lorentz scalar")
lorentz_index = ['X', 'Y', 'Z', 'T']
for ind in lorentz_index:
res.append(('Gamma' + ind + (name[0] == 'A') * 'Gamma5',
'Gamma' + ind + (name[1] == 'A') * 'Gamma5'))
return res