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Added mean and standard deviation calculation to property decorators

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This commit is contained in:
Will Boyd 2015-07-21 07:45:58 -07:00
parent 31af473331
commit 501cc3e691
1 changed files with 15 additions and 3 deletions
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18
openmc/tallies.py
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@ -269,10 +269,16 @@ class Tally(object):
@property
def mean(self):
# Compute the mean if needed
if self._mean is None:
self.compute_mean()
return self._mean
@property
def std_dev(self):
# Compute the standard deviation if needed
if self._std_dev is None:
self.compute_std_dev()
return self._std_dev
@estimator.setter
@ -439,8 +445,14 @@ class Tally(object):
self._nuclides.remove(nuclide)
def compute_mean(self):
"""Compute the sample mean for each bin in the tally"""
# Calculate sample mean
self._mean = self.sum / self.num_realizations
def compute_std_dev(self, t_value=1.0):
"""Compute the sample mean and standard deviation for each bin in the tally
"""Compute the sample standard deviation for each bin in the tally
Parameters
----------
@ -450,8 +462,8 @@ class Tally(object):
"""
# Calculate sample mean and standard deviation
self._mean = self.sum / self.num_realizations
# Calculate sample standard deviation
self.compute_mean()
self._std_dev = np.sqrt((self.sum_sq / self.num_realizations -
self.mean**2) / (self.num_realizations - 1))
self._std_dev *= t_value