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!refactor: argument sorted_list of Corr.GEVP renamed to sort.

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This commit is contained in:
Fabian Joswig 2022-05-16 11:45:10 +01:00
parent 92b19cba9f
commit c00c21ee86
1 changed files with 13 additions and 13 deletions
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26
pyerrors/correlators.py
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@ -241,7 +241,7 @@ class Corr:
if self.N == 1:
raise Exception("Trying to symmetrize a correlator matrix, that already has N=1.")
def GEVP(self, t0, ts=None, sorted_list="Eigenvalue"):
def GEVP(self, t0, ts=None, sort="Eigenvalue"):
"""Solve the generalized eigenvalue problem on the current correlator and returns the corresponding eigenvectors.
Parameters
@ -251,7 +251,7 @@ class Corr:
ts : int
fixed time G(t_s)v= lambda G(t_0)v if return_list=False
If return_list=True and sorting=Eigenvector it gives a reference point for the sorting method.
sorted_list : string
sort : string
if this argument is set, a list of vectors (len=self.T) is returned. If it is left as None, only one vector is returned.
"Eigenvalue" - The eigenvector is chosen according to which eigenvalue it belongs individually on every timeslice.
"Eigenvector" - Use the method described in arXiv:2004.10472 [hep-lat] to find the set of v(t) belonging to the state.
@ -262,9 +262,9 @@ class Corr:
raise Exception("GEVP methods only works on correlator matrices and not single correlators.")
symmetric_corr = self.matrix_symmetric()
if sorted_list is None:
if sort is None:
if (ts is None):
raise Exception("ts is required if sorted_list=None.")
raise Exception("ts is required if sort=None.")
if (ts <= t0):
raise Exception("ts has to be larger than t0.")
if (self.content[t0] is None) or (self.content[ts] is None):
@ -278,8 +278,8 @@ class Corr:
sp_vecs = _GEVP_solver(Gt, G0)
sp_vec = [sp_vecs[s] for s in range(self.N)]
return sp_vec
elif sorted_list in ["Eigenvalue", "Eigenvector"]:
if sorted_list == "Eigenvalue" and ts is not None:
elif sort in ["Eigenvalue", "Eigenvector"]:
if sort == "Eigenvalue" and ts is not None:
warnings.warn("ts has no effect when sorting by eigenvalue is chosen.", RuntimeWarning)
all_vecs = [None] * (t0 + 1)
for t in range(t0 + 1, self.T):
@ -291,24 +291,24 @@ class Corr:
Gt[i, j] = symmetric_corr[t][i, j].value
sp_vecs = _GEVP_solver(Gt, G0)
if sorted_list == "Eigenvalue":
if sort == "Eigenvalue":
sp_vec = [sp_vecs[s] for s in range(self.N)]
all_vecs.append(sp_vec)
else:
all_vecs.append(sp_vecs)
except Exception:
all_vecs.append(None)
if sorted_list == "Eigenvector":
if sort == "Eigenvector":
if (ts is None):
raise Exception("ts is required for the Eigenvector sorting method.")
all_vecs = _sort_vectors(all_vecs, ts)
all_vecs = [[a[s] if a is not None else None for a in all_vecs] for s in range(self.N)]
else:
raise Exception("Unkown value for 'sorted_list'.")
raise Exception("Unkown value for 'sort'.")
return all_vecs
def Eigenvalue(self, t0, ts=None, state=0, sorted_list=None):
def Eigenvalue(self, t0, ts=None, state=0, sort=None):
"""Determines the eigenvalue of the GEVP by solving and projecting the correlator
Parameters
@ -320,13 +320,13 @@ class Corr:
If return_list=True and sorting=Eigenvector it gives a reference point for the sorting method.
state : int
The state one is interested in ordered by energy. The lowest state is zero.
sorted_list : string
sort : string
if this argument is set, a list of vectors (len=self.T) is returned. If it is left as None, only one vector is returned.
"Eigenvalue" - The eigenvector is chosen according to which eigenvalue it belongs individually on every timeslice.
"Eigenvector" - Use the method described in arXiv:2004.10472 [hep-lat] to find the set of v(t) belonging to the state.
The reference state is identified by its eigenvalue at t=ts
"""
vec = self.GEVP(t0, ts=ts, sorted_list=sorted_list)[state]
vec = self.GEVP(t0, ts=ts, sort=sort)[state]
return self.projected(vec)
def Hankel(self, N, periodic=False):
@ -1174,7 +1174,7 @@ class Corr:
if basematrix.N != self.N:
raise Exception('basematrix and targetmatrix have to be of the same size.')
evecs = basematrix.GEVP(t0proj, tproj, sorted_list=None)[:Ntrunc]
evecs = basematrix.GEVP(t0proj, tproj, sort=None)[:Ntrunc]
tmpmat = np.empty((Ntrunc, Ntrunc), dtype=object)
rmat = []