One and two proton separation energies from nuclear mass systematics using neural networks

Details One and two proton separation energies from nuclear mass systematics using neural networks One and two proton separation energies from nuclear mass systematics using neural networks

2005-09-26

arxiv.org/abs/nucl-th/0509075v1

Physics

Nuclear Physics

Nuclear Theory

Proceedings for the 14th Hellenic Symposium on Nuclear Physics (2004)

Scientific paper

We deal with the systematics of one and two proton separation energies as predicted by our latest global model for the masses of nuclides developed with the use of neural networks. Among others, such systematics is useful as input to the astrophysical rp-process and to the one and two proton radioactive studies. Our results are compared with the experimental separation energies referred to in the 2003 Atomic Mass Evaluation and with those evaluated from theoretical models for the masses of nuclides, like the FRDM of Möller et al. and the HFB2 of Pearson et al. We focus in particular on the proton separation energies for nuclides that are involved in the rp-process (29<=Z<=40) but they have not yet been studied experimentally.

Affiliated with

Also associated with

No associations

Rating

One and two proton separation energies from nuclear mass systematics using neural networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with One and two proton separation energies from nuclear mass systematics using neural networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and One and two proton separation energies from nuclear mass systematics using neural networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-224853