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sinh effective mass implemented

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This commit is contained in:
Fabian Joswig 2021-10-12 11:24:43 +01:00
parent 66c443fd63
commit 117a925775
4 changed files with 28 additions and 20 deletions
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2
.github/workflows/flake8.yml vendored
View file

@ -16,6 +16,6 @@ jobs:
- name: flake8 Lint
uses: py-actions/flake8@v1
with:
ignore: "E501"
ignore: "E501,E722"
exclude: "__init__.py, input/__init__.py"
path: "pyerrors"

13
pyerrors/correlators.py
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@ -252,14 +252,21 @@ class Corr:
return np.log(Corr(newcontent, padding_back=1))
elif variant == 'periodic':
elif variant in ['periodic', 'cosh', 'sinh']:
if variant in ['periodic', 'cosh']:
func = anp.cosh
else:
func = anp.sinh
def root_function(x, d):
return func(x * (t - self.T / 2)) / func(x * (t + 1 - self.T / 2)) - d
newcontent = []
for t in range(self.T - 1):
if (self.content[t] is None) or (self.content[t + 1] is None):
newcontent.append(None)
else:
func = lambda x, d: anp.cosh(x * (t - self.T / 2)) / anp.cosh(x * (t + 1 - self.T / 2)) - d
newcontent.append(np.abs(find_root(self.content[t][0] / self.content[t + 1][0], func, guess=guess)))
newcontent.append(np.abs(find_root(self.content[t][0] / self.content[t + 1][0], root_function, guess=guess)))
if(all([x is None for x in newcontent])):
raise Exception('m_eff is undefined at all timeslices')

24
pyerrors/input/bdio.py
View file

@ -65,7 +65,7 @@ def read_ADerrors(file_path, bdio_path='./libbdio.so', **kwargs):
print('Reading of bdio file started')
while 1 > 0:
record = bdio_seek_record(fbdio)
bdio_seek_record(fbdio)
ruinfo = bdio_get_ruinfo(fbdio)
if ruinfo == 7:
@ -75,13 +75,13 @@ def read_ADerrors(file_path, bdio_path='./libbdio.so', **kwargs):
if ruinfo < 0:
# EOF reached
break
rlen = bdio_get_rlen(fbdio)
bdio_get_rlen(fbdio)
def read_c_double():
d_buf = ctypes.c_double
pd_buf = d_buf()
ppd_buf = ctypes.c_void_p(ctypes.addressof(pd_buf))
iread = bdio_read_f64(ppd_buf, ctypes.c_size_t(8), ctypes.c_void_p(fbdio))
bdio_read_f64(ppd_buf, ctypes.c_size_t(8), ctypes.c_void_p(fbdio))
return pd_buf.value
mean = read_c_double()
@ -91,7 +91,7 @@ def read_ADerrors(file_path, bdio_path='./libbdio.so', **kwargs):
d_buf = ctypes.c_size_t
pd_buf = d_buf()
ppd_buf = ctypes.c_void_p(ctypes.addressof(pd_buf))
iread = bdio_read_int32(ppd_buf, ctypes.c_size_t(4), ctypes.c_void_p(fbdio))
bdio_read_int32(ppd_buf, ctypes.c_size_t(4), ctypes.c_void_p(fbdio))
return pd_buf.value
neid = read_c_size_t()
@ -137,7 +137,7 @@ def read_ADerrors(file_path, bdio_path='./libbdio.so', **kwargs):
d_buf = ctypes.c_double * np.sum(ndata)
pd_buf = d_buf()
ppd_buf = ctypes.c_void_p(ctypes.addressof(pd_buf))
iread = bdio_read_f64(ppd_buf, ctypes.c_size_t(8 * np.sum(ndata)), ctypes.c_void_p(fbdio))
bdio_read_f64(ppd_buf, ctypes.c_size_t(8 * np.sum(ndata)), ctypes.c_void_p(fbdio))
delta = pd_buf[:]
samples = np.split(np.asarray(delta) + mean, np.cumsum([a for su in vrep for a in su])[:-1])
@ -212,8 +212,7 @@ def write_ADerrors(obs_list, file_path, bdio_path='./libbdio.so', **kwargs):
fbdio = bdio_open(ctypes.c_char_p(b_path), ctypes.c_char_p(b_write), b_form)
for obs in obs_list:
mean = obs.value
# mean = obs.value
neid = len(obs.e_names)
vrep = [[obs.shape[o] for o in sl] for sl in list(obs.e_content.values())]
vrep_write = [item for sublist in vrep for item in sublist]
@ -251,12 +250,12 @@ def write_ADerrors(obs_list, file_path, bdio_path='./libbdio.so', **kwargs):
def write_c_double(double):
pd_buf = ctypes.c_double(double)
ppd_buf = ctypes.c_void_p(ctypes.addressof(pd_buf))
iwrite = bdio_write_f64(ppd_buf, ctypes.c_size_t(8), ctypes.c_void_p(fbdio))
bdio_write_f64(ppd_buf, ctypes.c_size_t(8), ctypes.c_void_p(fbdio))
def write_c_size_t(int32):
pd_buf = ctypes.c_size_t(int32)
ppd_buf = ctypes.c_void_p(ctypes.addressof(pd_buf))
iwrite = bdio_write_int32(ppd_buf, ctypes.c_size_t(4), ctypes.c_void_p(fbdio))
bdio_write_int32(ppd_buf, ctypes.c_size_t(4), ctypes.c_void_p(fbdio))
write_c_double(obs.value)
write_c_size_t(neid)
@ -365,7 +364,7 @@ def read_mesons(file_path, bdio_path='./libbdio.so', **kwargs):
print('Reading of bdio file started')
while 1 > 0:
record = bdio_seek_record(fbdio)
bdio_seek_record(fbdio)
ruinfo = bdio_get_ruinfo(fbdio)
if ruinfo < 0:
# EOF reached
@ -530,7 +529,7 @@ def read_dSdm(file_path, bdio_path='./libbdio.so', **kwargs):
corr_type = [] # Contains correlator data type (important for reading out numerical data)
corr_props = [] # Contains propagator types (Component of corr_kappa)
d0 = 0 # tvals
d1 = 0 # nnoise
# d1 = 0 # nnoise
prop_kappa = [] # Contains propagator kappas (Component of corr_kappa)
# Check noise type for multiple replica?
cnfg_no = -1
@ -541,7 +540,7 @@ def read_dSdm(file_path, bdio_path='./libbdio.so', **kwargs):
print('Reading of bdio file started')
while 1 > 0:
record = bdio_seek_record(fbdio)
bdio_seek_record(fbdio)
ruinfo = bdio_get_ruinfo(fbdio)
if ruinfo < 0:
# EOF reached
@ -613,7 +612,6 @@ def read_dSdm(file_path, bdio_path='./libbdio.so', **kwargs):
print('Number of configurations: ', cnfg_no + 1)
corr_kappa = [] # Contains kappa values for both propagators of given correlation function
corr_source = []
for item in corr_props:
corr_kappa.append(float(prop_kappa[int(item)]))

9
pyerrors/linalg.py
View file

@ -12,11 +12,14 @@ from functools import partial
from autograd.extend import defvjp
_dot = partial(anp.einsum, '...ij,...jk->...ik')
# batched diag
_diag = lambda a: anp.eye(a.shape[-1]) * a
def _diag(a):
return anp.eye(a.shape[-1]) * a
# batched diagonal, similar to matrix_diag in tensorflow
def _matrix_diag(a):
reps = anp.array(a.shape)
reps[:-1] = 1