نتایج جستجو برای: nuclear decay theory
تعداد نتایج: 1070122 فیلتر نتایج به سال:
It was first suggested by Heisenberg that the forces between a proton and a neutron are connected with an exchange of charge between the two heavy particles. This exchange nature of the neutron-proton forces is now generally accepted. It would follow from this assumption that in suitable circumstances a proton (neutron) could emit a positively (negatively) charged particle transforming itself i...
We discuss how detection of gamma-ray emission from the decay of r-process nuclei can improve our understanding of r-process nucleosynthesis. We Ðnd that a gamma-ray detector with a sensitivity of D10~7c cm~2 s~1 at keV may detect the emission from the decay of 125Sb, 137Cs, 144Ce, Ec B 100È700 155Eu, and 194Os produced in a future Galactic supernova. In addition, such a detector may determine ...
Nuclear RNA decay factors are involved in many different pathways including rRNA processing, snRNA and snoRNA biogenesis, pre-mRNA processing, and the rapid decay of cryptic intergenic transcripts. In contrast to its yeast counterpart, the mammalian nuclear decay machinery is largely uncharacterized. Here we report interactions of several putative components of the human nuclear RNA decay machi...
This article is about the interplay between the Standard Model of elementary particle physics and neutron β-decay. Since the Fermi decay constant is known from muon decay, the Standard Model describes neutron β-decay with only two additional parameters. One parameter is the first entry |Vud| of the CKMmatrix. The other one is λ, the ratio of the vector coupling constant and the axial vector con...
Statistical modeling of nuclear data provides a novel approach to nuclear systematics complementary to established theoretical and phenomenological approaches based on quantum theory. Continuing previous studies in which global statistical modeling is pursued within the general framework of machine learning theory, we implement advances in training algorithms designed to improved generalization...
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