663 research outputs found

    Systematic study of proton radioactivity of spherical proton emitters within various versions of proximity potential formalisms

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    In this work we present a systematic study of the proton radioactivity half-lives of spherical proton emitters within the Coulomb and proximity potential model. We investigate 28 different versions of the proximity potential formalisms developed for the description of proton radioactivity, α\mathcal{\alpha} decay and heavy particle radioactivity. It is found that 21 of them are not suitable to deal with the proton radioactivity, because the classical turning points rinr_{\text{in}} cannot be obtained due to the fact that the depth of the total interaction potential between the emitted proton and the daughter nucleus is above the proton radioactivity energy. Among the other 7 versions of the proximity potential formalisms, it is Guo2013 which gives the lowest rms deviation in the description of the experimental half-lives of the known spherical proton emitters. We use this proximity potential formalism to predict the proton radioactivity half-lives of 13 spherical proton emitters, whose proton radioactivity is energetically allowed or observed but not yet quantified, within a factor of 3.71.Comment: 10 pages, 5 figures. This paper has been accepted by The European Physical Journal A (in press 2019

    Emission Inventory for PFOS in China: Review of Past Methodologies and Suggestions

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    Perfluorooctane sulfonate (PFOS) is a persistent, bioaccumulative, and toxic chemical that has the potential for long-range transport in the environment. Its use in a wide variety of consumer products and industrial processes makes a detailed characterization of its emissions sources very challenging. These varied emissions sources all contribute to PFOS' existence within nearly all environmental media. Currently, China is the only country documented to still be producing PFOS, though there is no China PFOS emission inventory available. This study reviews the inventory methodologies for PFOS in other countries to suggest a China-specific methodology framework for a PFOS emission inventory. The suggested framework combines unknowns for PFOS-containing product penetration into the Chinese market with product lifecycle assumptions, centralizing these diverse sources into municipal sewage treatment plants. Releases from industrial sources can be quantified separately using another set of emission factors. Industrial sources likely to be relevant to the Chinese environment are identified

    Systematic study of α\boldsymbol{\mathcal{\alpha}} decay of nuclei around Z=82\boldsymbol{Z=82}, N=126\boldsymbol{N=126} shell closure within the cluster-formation model and proximity potential 1977 formalism

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    In the present work, we systematically study the α\mathcal{\alpha} decay preformation factors PαP_{\alpha} within the cluster-formation model and α\mathcal{\alpha} decay half-lives by the proximity potential 1977 formalism for nuclei around Z=82Z=82, N=126N=126 closed shells. The calculations show that the realistic PαP_{\alpha} is linearly dependent on the product of valance protons (holes) and valance neutrons (holes) NpNnN_pN_n. It is consistent with our previous works [X.-D. Sun \textit{et al.}, \href{https://journals.aps.org/prc/abstract/10.1103/PhysRevC.94.024338}{ Phys. Rev. C 94, 024338 (2016)}, J.-G. Deng \textit{et al.}, \href{https://journals.aps.org/prc/abstract/10.1103/PhysRevC.96.024318}{Phys. Rev. C 96, 024318 (2017)}], which PαP_{\alpha} are model-dependent and extracted from the ratios of calculated α\mathcal{\alpha} half-lives to experimental data. Combining with our previous works, we confirm that the valance proton-neutron interaction plays a key role in the α\mathcal{\alpha} preformation for nuclei around Z=82Z=82, N=126N=126 shell closures whether the PαP_{\alpha} is model-dependent or microcosmic. In addition, our calculated α\mathcal{\alpha} decay half-lives by using the proximity potential 1977 formalism taking PαP_{\alpha} evaluated by the cluster-formation model can well reproduce the experimental data and significantly reduce the errors.Comment: 4 figures, 7 tables; Accepted by Physical Review
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