Nuclear Data and Experiments for Astrophysics
Kankainen, A., & Goriely, S. (2022). Nuclear Data and Experiments for Astrophysics. In S. M. Lenzi, & D. Cortina-Gil (Eds.), The Euroschool on Exotic Beams, Vol. VI (pp. 141-179). Springer International Publishing. Lecture Notes in Physics, 1005. https://doi.org/10.1007/978-3-031-10751-1_4
Julkaistu sarjassa
Lecture Notes in PhysicsPäivämäärä
2022Tekijänoikeudet
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Nuclear astrophysics aims to understand the origin of elements and the role of nuclear processes in astrophysical events. Nuclear reactions and reaction rates depend strongly on nuclear properties and on the astrophysical environment. Nuclear inputs for stellar reaction rates involve a variety of nuclear properties, theoretical models, and experimental data. Experiments providing data for nuclear astrophysics range from stable ion beam direct measurements to radioactive beam experiments employing inverse kinematics or indirect methods. Many properties relevant for astrophysical calculations, such as nuclear masses and β-decays, have also been intensively studied. This contribution shortly introduces selected astrophysical processes, discusses the related nuclear data needs, and gives examples of recent experimental and theoretical efforts in the field.
Publication
is also available from repository of Université libre de Bruxelles urn:isbn:978-3-031-10751-1
Julkaisija
Springer International PublishingEmojulkaisun ISBN
978-3-031-10750-4Kuuluu julkaisuun
The Euroschool on Exotic Beams, Vol. VIISSN Hae Julkaisufoorumista
0075-8450Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/151818609
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Euroopan komissioRahoitusohjelmat(t)
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The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Lisätietoja rahoituksesta
SG acknowledges financial support from F.R.S.-FNRS (Belgium). This work has been supported by the Fonds de la Recherche Scientifique (F.R.S.-FNRS, Belgium) and the Research Foundation Flanders (FWO, Belgium) under the EOS Project nr O022818F. AK acknowledges financial support from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 771036 (ERC CoG MAIDEN).Lisenssi
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