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Partition of the total excitation energy between complementary fragments

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 نشر من قبل Claudia Morariu
 تاريخ النشر 2011
  مجال البحث
والبحث باللغة English
 تأليف C. Manailescu




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Two methods of the total excitation energy (TXE) partition between complementary fission fragments (FF) are compared: one based on the classical hypothesis of prompt neutron emission from fully accelerated FF with both fragments having the same residual nuclear temperature distribution,the second one on the systematic behavior of the experimental multiplicity ratio { u}H/({ u}L+{ u}H) as a function of the heavy fragment mass number AH,the complementary FF having different residual temperature distributions.These methods were applied on six fissioning systems: 233,235U(nth,f), 239Pu(nth,f), 237Np(n5.5MeV,f), 252Cf(SF), 248Cm(SF) and fragment excitation energies,level density parameters,fragment and fragment pair temperatures were compared.Limitations of the classical TXE partition method are shown.Residual temperature ratios RT=TL/TH versus AH,local and global parameterizations of RT(AH) for the neutron induced fissioning systems are obtained.Average values of quantities characterizing prompt neutron emission are discussed.A linear decrease of <RT> with the mass number of the fissioning nucleus and a linear decrease of the average C parameter with the fissility parameter is obtained.Point by Point (PbP) model calculations validate the RT(AH) parameterizations.The multi-parametric matrix { u}(A,TKE) as well as prompt neutron and gamma-ray emission quantities as a function of fragment mass,total average prompt neutron multiplicity and spectrum and prompt neutron multiplicity distribution P({ u}) were calculated.The global RT(AH) parameterization extends the use of the PbP model to predict prompt neutron emission quantities for fissioning systems without experimental data.An explanation of the less pronounced sawtooth shape of { u}(A) and the increase of { u}(A) with incident neutron energy only for heavy fragments is given and exemplified by quantitative results of the PbP model.



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