Combination of Differential and Integral Data

  • J. H. Marable
  • C. R. Weisbin
  • G. de Saussure


The purpose of this chapter is to show how the various types of data presented and discussed in previous chapters may be combined and applied to the calculation of performance parameters of a reactor design model. These types of data include benchmark integral experiment values and covariances as discussed in Chapter 4, differential nuclear data and covariances as discussed in Chapter 2, a calculation of biases and covariances as presented in Chapter 3, and sensitivities as presented in Chapter 5.


Fast Reactor Integral Analysis Nuclear Data Bias Factor Integral Quantity 
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Copyright information

© Plenum Press, New York 1982

Authors and Affiliations

  • J. H. Marable
  • C. R. Weisbin
  • G. de Saussure

There are no affiliations available

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