openmc.stats.Normal¶

class openmc.stats.Normal(mean_value, std_dev)[source]¶

Normally distributed sampling.

The Normal Distribution is characterized by two parameters \(\mu\) and \(\sigma\) and has density function \(p(X) dX = 1/(\sqrt{2\pi}\sigma) e^{-(X-\mu)^2/(2\sigma^2)}\)

Parameters

mean_value (float) – Mean value of the distribution
std_dev (float) – Standard deviation of the Normal distribution

Variables

mean_value (float) – Mean of the Normal distribution
std_dev (float) – Standard deviation of the Normal distribution

classmethod from_xml_element(elem)[source]¶

Generate Normal distribution from an XML element

Parameters: elem (xml.etree.ElementTree.Element) – XML element
Returns: Normal distribution generated from XML element
Return type: openmc.stats.Normal

to_xml_element(element_name)[source]¶

Return XML representation of the Normal distribution

Parameters: element_name (str) – XML element name
Returns: element – XML element containing Watt distribution data
Return type: xml.etree.ElementTree.Element