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Improving nuclear mass predictions through the Garvey-Kelson relations

Journal Article · · Physical Review. C, Nuclear Physics
 [1];  [2]
  1. Grand Accelerateur National d'Ions Lourds (GANIL), CEA/DSM-CNRS/IN2P3, Bvd Henri Becquerel, F-14076 Caen (France)
  2. Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, 04510 Mexico, D.F. (Mexico)
We describe a procedure to improve the nuclear mass predictions obtained by means of the Garvey-Kelson iterative process. This is achieved by reducing the degrees of freedom involved in the process, expressing the Garvey-Kelson relations in terms of one-neutron and one-proton separation energies, and using a theoretical estimation for them. This approach has the effect that the intrinsic error associated with the iterative process grows significantly more slowly. This leads to a better quality of nuclear mass predictions and therefore extends the range for which the predictions are accurate. We test these ideas using different mass models.
OSTI ID:
21502456
Journal Information:
Physical Review. C, Nuclear Physics, Journal Name: Physical Review. C, Nuclear Physics Journal Issue: 5 Vol. 83; ISSN 0556-2813; ISSN PRVCAN
Country of Publication:
United States
Language:
English

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