Sensitivity calculations: Difference between revisions

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  '''set''' '''senspert''' ''NAME'' ''FLAG''
  '''set''' '''senspert''' ''NAME'' ''FLAG''
Where the different perturbation names and flags are as follows
{| class="wikitable"
| <tt>''NAME''</tt>
| explanation of NAME
| <tt>''FLAG''</TT>
| 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 <br />elastic scattering angular distribution
| 0/1/2/3/4/5/6/7
| Number of Legendre moments to perturb.
|}


=== Additional options ===
=== Additional options ===

Revision as of 12:55, 2 May 2017

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.

Implementation

Input

Adding a response

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.

Additional options

Number of latent generations.

IFP chain length.

Response based tallying or event based tallying.

Event bank.

Output

Examples