Difference between revisions of "Sensitivity calculations"

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m (Ville Valtavirta moved page Sensitivity Calculations to Upcoming:Sensitivity Calculations without leaving a redirect: Starting to use the upcoming namespace.)
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Serpent relies on the collision history based first order GPT equivalent implementation (cite to Manu's paper) to calculate sensitivities of various responses to various perturbations. As a simple example, the sensitivity of the effective multiplication factor to the different nuclear cross sections can be calculated.
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Serpent relies on the collision history based first order GPT equivalent implementation<ref>Dufek, J. and Gudowski, W. "''Stochastic Approximation for Monte Carlo Calculation of Steady-State Conditions in Thermal Reactors''", Nucl. Sci. Eng, 152 (2006) 274-283</ref> to calculate sensitivities of various responses to various perturbations. As a simple example, the sensitivity of the effective multiplication factor to the different nuclear cross sections can be calculated.
  
 
== Implementation ==
 
== Implementation ==

Revision as of 14:07, 4 May 2017

Serpent relies on the collision history based first order GPT equivalent implementation[1] to calculate sensitivities of various responses to various perturbations. As a simple example, the sensitivity of the effective multiplication factor to the different nuclear cross sections can be calculated.

Implementation

Input

Adding a response

set sensresp NAME FLAG

Where the different response names and flags are as follows

Adding a perturbation

set senspert NAME FLAG

Where the different perturbation names and flags are as follows

NAME explanation of NAME FLAG explanation of FLAG
xs perturbation of basic cross sections 0/1 OFF/ON
chi perturbation of fission spectrum 0/1 OFF/ON
nubar perturbation of fission nubar 0/1 OFF/ON
eleg perturbation of Legendre moments of
elastic scattering angular distribution
0/1/2/3/4/5/6/7 Number of Legendre moments to perturb.
set senspert zai all

Additional options

Number of latent generations.

IFP chain length.

Response based tallying or event based tallying.

Event bank.

Output

Examples