Sample {criticality}

Sample Function

Description

This function samples the Bayesian network and generates keff predictions using a deep neural network metamodel.

Usage

Sample(
  bn,
  code = "mcnp",
  cores = parallel::detectCores()/2,
  keff.cutoff = 0.9,
  metamodel,
  sample.size = 1e+09,
  ext.dir,
  risk.dir = NULL
)

Arguments

bn

Bayesian network object

code

Monte Carlo radiation transport code (e.g., "cog", "mcnp")

cores

Number of CPU cores to use for generating Bayesian network samples

keff.cutoff

keff cutoff value (e.g., 0.9)

metamodel

List of deep neural network metamodels and weights

sample.size

Number of samples used to calculate risk

ext.dir

External directory (full path)

risk.dir

Risk directory

Value

A list of Bayesian network samples with predicted keff values