New statistical scission-point model to predict fission fragment observables

Jean-François Lemaître, Stefano Panebianco, Jean-Luc Sida, Stéphane Hilaire, and Sophie Heinrich
Phys. Rev. C 92, 034617 – Published 28 September 2015

Abstract

The development of high performance computing facilities makes possible a massive production of nuclear data in a full microscopic framework. Taking advantage of the individual potential calculations of more than 7000 nuclei, a new statistical scission-point model, called SPY, has been developed. It gives access to the absolute available energy at the scission point, which allows the use of a parameter-free microcanonical statistical description to calculate the distributions and the mean values of all fission observables. SPY uses the richness of microscopy in a rather simple theoretical framework, without any parameter except the scission-point definition, to draw clear answers based on perfect knowledge of the ingredients involved in the model, with very limited computing cost.

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  • Received 26 January 2015
  • Revised 23 May 2015

DOI:https://doi.org/10.1103/PhysRevC.92.034617

©2015 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Nuclear Physics

Authors & Affiliations

Jean-François Lemaître

  • CEA Centre de Saclay, Irfu/Service de Physique Nucléaire, F-91191, Gif-sur-Yvette, France and CEA, DAM, DIF, F-91297, Arpajon, France

Stefano Panebianco and Jean-Luc Sida

  • CEA Centre de Saclay, Irfu/Service de Physique Nucléaire, F-91191, Gif-sur-Yvette, France

Stéphane Hilaire and Sophie Heinrich*

  • CEA, DAM, DIF, F-91297, Arpajon, France

  • *Former member of the laboratory.

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Issue

Vol. 92, Iss. 3 — September 2015

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