Difference between revisions of "Sensitivity calculations"
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| Number of Legendre moments to perturb. | | Number of Legendre moments to perturb. | ||
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+ | ==== Choosing nuclides to perturb ==== | ||
The perturbed nuclides can be specified by giving a list of the ZAI-numbers to include | The perturbed nuclides can be specified by giving a list of the ZAI-numbers to include |
Revision as of 13:16, 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.
Contents
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. |
Choosing nuclides to perturb
The perturbed nuclides can be specified by giving a list of the ZAI-numbers to include
set senspert zailist N_ZAI ZAI1 ZAI2 ... ZAIN_ZAI
for example
set senspert zailist 2 922350 922380
for perturbations affecting 235U and 238U. All nuclides present in the calculation can be included with
set senspert zailist all
Additional options
Number of latent generations.
IFP chain length.
Response based tallying or event based tallying.
Event bank.
Output
Examples
References
- ^ Aufiero, M. et al. "A collision history-based approach to sensitivity/perturbation calculations in the continuous energy Monte Carlo code SERPENT", Ann. Nucl. Energy, 152 (2015) 245-258. DOI:10.1016/j.anucene.2015.05.008