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      Late-time Flattening of Type Ia Supernova Light Curves: Constraints from SN 2014J in M82

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          Most cited references26

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          Type I supernovae. I - Analytic solutions for the early part of the light curve

          W. Arnett (1982)
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            Is Open Access

            The chemical composition of the Sun

            The solar chemical composition is an important ingredient in our understanding of the formation, structure and evolution of both the Sun and our solar system. Furthermore, it is an essential reference standard against which the elemental contents of other astronomical objects are compared. In this review we evaluate the current understanding of the solar photospheric composition. In particular, we present a re-determination of the abundances of nearly all available elements, using a realistic new 3-dimensional (3D), time-dependent hydrodynamical model of the solar atmosphere. We have carefully considered the atomic input data and selection of spectral lines, and accounted for departures from LTE whenever possible. The end result is a comprehensive and homogeneous compilation of the solar elemental abundances. Particularly noteworthy findings are significantly lower abundances of carbon, nitrogen, oxygen and neon compared with the widely-used values of a decade ago. The new solar chemical composition is supported by a high degree of internal consistency between available abundance indicators, and by agreement with values obtained in the solar neighborhood and from the most pristine meteorites. There is, however, a stark conflict with standard models of the solar interior according to helioseismology, a discrepancy that has yet to find a satisfactory resolution.
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              Nucleosynthesis in Supernovae.

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                Author and article information

                Journal
                The Astrophysical Journal
                ApJ
                American Astronomical Society
                1538-4357
                January 10 2018
                January 10 2018
                : 852
                : 2
                : 89
                Article
                10.3847/1538-4357/aa9e4c
                e740de6d-67fd-426d-bd75-d5e7c81cf99a
                © 2018

                http://iopscience.iop.org/info/page/text-and-data-mining

                http://iopscience.iop.org/page/copyright

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