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feat!: merged the parameters padding_front and padding_back of Corr into
one parameter padding
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parent
56fe126593
commit
d778a3b238
6 changed files with 16 additions and 16 deletions
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@ -23,7 +23,7 @@ class Corr:
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"""
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def __init__(self, data_input, padding_front=0, padding_back=0, prange=None):
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def __init__(self, data_input, padding=[0, 0], prange=None):
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# All data_input should be a list of things at different timeslices. This needs to be verified
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if not isinstance(data_input, list):
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@ -53,7 +53,7 @@ class Corr:
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# We now apply some padding to our list. In case that our list represents a correlator of length T but is not defined at every value.
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# An undefined timeslice is represented by the None object
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self.content = [None] * padding_front + self.content + [None] * padding_back
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self.content = [None] * padding[0] + self.content + [None] * padding[1]
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self.T = len(self.content) # for convenience: will be used a lot
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# The attribute "range" [start,end] marks a range of two timeslices.
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@ -331,7 +331,7 @@ class Corr:
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newcontent.append(self.content[t + 1] - self.content[t])
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if(all([x is None for x in newcontent])):
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raise Exception("Derivative is undefined at all timeslices")
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return Corr(newcontent, padding_back=1)
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return Corr(newcontent, padding=[0, 1])
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if symmetric:
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newcontent = []
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for t in range(1, self.T - 1):
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@ -341,7 +341,7 @@ class Corr:
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newcontent.append(0.5 * (self.content[t + 1] - self.content[t - 1]))
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if(all([x is None for x in newcontent])):
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raise Exception('Derivative is undefined at all timeslices')
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return Corr(newcontent, padding_back=1, padding_front=1)
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return Corr(newcontent, padding=[1, 1])
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def second_deriv(self):
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"""Return the second derivative of the correlator with respect to x0."""
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@ -353,7 +353,7 @@ class Corr:
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newcontent.append((self.content[t + 1] - 2 * self.content[t] + self.content[t - 1]))
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if(all([x is None for x in newcontent])):
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raise Exception("Derivative is undefined at all timeslices")
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return Corr(newcontent, padding_back=1, padding_front=1)
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return Corr(newcontent, padding=[1, 1])
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def m_eff(self, variant='log', guess=1.0):
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"""Returns the effective mass of the correlator as correlator object
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@ -381,7 +381,7 @@ class Corr:
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if(all([x is None for x in newcontent])):
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raise Exception('m_eff is undefined at all timeslices')
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return np.log(Corr(newcontent, padding_back=1))
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return np.log(Corr(newcontent, padding=[0, 1]))
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elif variant in ['periodic', 'cosh', 'sinh']:
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if variant in ['periodic', 'cosh']:
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@ -404,7 +404,7 @@ class Corr:
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if(all([x is None for x in newcontent])):
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raise Exception('m_eff is undefined at all timeslices')
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return Corr(newcontent, padding_back=1)
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return Corr(newcontent, padding=[0, 1])
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elif variant == 'arccosh':
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newcontent = []
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@ -415,7 +415,7 @@ class Corr:
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newcontent.append((self.content[t + 1] + self.content[t - 1]) / (2 * self.content[t]))
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if(all([x is None for x in newcontent])):
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raise Exception("m_eff is undefined at all timeslices")
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return np.arccosh(Corr(newcontent, padding_back=1, padding_front=1))
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return np.arccosh(Corr(newcontent, padding=[1, 1]))
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else:
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raise Exception('Unknown variant.')
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