AddLikelihoodAction

This action adds LikelihoodFunctionBase objects contained within the [Likelihood] block. For example, the following block adds a Gaussian likelihood function.

[Likelihood<<<{"href": "../../syntax/Likelihood/index.html"}>>>]
  [gaussian]
    type = Gaussian<<<{"description": "Gaussian likelihood function evaluating the model goodness against experiments.", "href": "../likelihoods/Gaussian.html"}>>>
    noise<<<{"description": "Experimental noise plus model deviations against experiments."}>>> = 'noise_specified/noise_specified'
    file_name<<<{"description": "Name of the CSV file with experimental values."}>>> = 'exp1.csv'
    log_likelihood<<<{"description": "Compute log-likelihood or likelihood."}>>> = true
  []
[]

Input Parameters

active__all__ If specified only the blocks named will be visited and made active
Default:__all__
C++ Type:std::vector<std::string>
Controllable:No
Description:If specified only the blocks named will be visited and made active
inactiveIf specified blocks matching these identifiers will be skipped.
C++ Type:std::vector<std::string>
Controllable:No
Description:If specified blocks matching these identifiers will be skipped.

Optional Parameters

control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Controllable:No
Description:Adds user-defined labels for accessing object parameters via control logic.

Advanced Parameters

(moose/modules/stochastic_tools/test/tests/likelihoods/gaussian_derived/main.i)

[StochasticTools]
[]

[Distributions]
  [mu1]
    type = Normal
    mean = 0.0
    standard_deviation = 0.5
  []
[]

[Samplers]
  [sample]
    type = MonteCarlo
    distributions = 'mu1 mu1'
    num_rows = 3
    seed = 2547
  []
[]

[MultiApps]
  [sub]
    type = SamplerFullSolveMultiApp
    input_files = sub.i
    sampler = sample
  []
[]

[Transfers]
  [param]
    type = SamplerParameterTransfer
    to_multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    # to_control = 'stochastic'
  []
  [reporter_transfer]
    type = SamplerReporterTransfer
    from_reporter = 'average/value'
    stochastic_reporter = 'constant'
    from_multi_app = sub
    sampler = sample
  []
[]

[Reporters]
  [constant]
    type = StochasticReporter
  []
  [noise_specified]
    type = ConstantReporter
    real_names = 'noise_specified'
    real_values = '0.2'
  []
  [likelihoodtest]
    type = TestLikelihood
    likelihoods = 'gaussian'
    model_pred = constant/reporter_transfer:average:value
    sampler = sample
  []
[]

[Likelihood]
  [gaussian]
    type = Gaussian
    noise = 'noise_specified/noise_specified'
    file_name = 'exp1.csv'
    log_likelihood=true
  []
[]

[Executioner]
  type = Steady
[]

[Outputs]
  file_base ='loglikelihood_scalar'
  [out]
    type = JSON
    execute_system_information_on = NONE
  []
[]

Input Parameters

Usage

Development

Demonstration

AddLikelihoodAction

Input Parameters

Optional Parameters

Advanced Parameters