Uncertainties in the Production of p Nuclides in SN Ia Determined by Monte Carlo Variations

Thomas Rauscher, Nobuya Nishimura, Raphael Hirschi, Alex St J. Murphy, Gabriele Cescutti, Claudia Travaglio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Downloads (Pure)

Abstract

Several thousand tracers from a 2D model of a thermonuclear supernova were used in a Monte Carlo post-processing approach to determine p-nuclide abundance uncertainties originating from nuclear physics uncertainties in the reaction rates.
Original languageEnglish
Title of host publicationNuclei in the Cosmos XV
EditorsAlba Formicola, Matthias Junker, Lucio Gialanella, Gianluca Imbriani
PublisherSpringer Nature Link
Pages429-432
Number of pages4
ISBN (Print)9783030138752
DOIs
Publication statusPublished - 20 Aug 2019
Event15th International Symposium on Nuclei in the Cosmos, NIC 2018 - L'Aquila, Italy
Duration: 24 Jun 201829 Jun 2018

Publication series

NameSpringer Proceedings in Physics
Volume219
ISSN (Print)0930-8989
ISSN (Electronic)1867-4941

Conference

Conference15th International Symposium on Nuclei in the Cosmos, NIC 2018
Country/TerritoryItaly
CityL'Aquila
Period24/06/1829/06/18

Fingerprint

Dive into the research topics of 'Uncertainties in the Production of p Nuclides in SN Ia Determined by Monte Carlo Variations'. Together they form a unique fingerprint.

Cite this