Advancements in modeling self-consistent core collapse supernovae with CHIMERA

We discuss advancements in modeling core-collapse supernovae with our code CHIMERA. We describe the status and details of our tracer particle method and its uses for post-processing nucleosynthesis and as a tool for broad core-collapse supernova (CCSN) model analyses. We also introduce our progress...

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Bibliographic Details
Main Authors: Chertkow, M A, Messer, O E B, Hix, W R, Lee, C T, Yakunin, K, Marronetti, P, Bruenn, S W, Lentz, E J, Blondin, J, Mezzacappa, A
Format: Conference Proceeding
Language:English
Subjects:
Beta decay
Ejecta
Electron capture
Mathematical models
Modelling
Networks
Nuclear fusion
Nuclear reactions
Physics
Post-production processing
Progenitors (astrophysics)
Supernovae
Three dimensional
Tracer particles
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Summary:We discuss advancements in modeling core-collapse supernovae with our code CHIMERA. We describe the status and details of our tracer particle method and its uses for post-processing nucleosynthesis and as a tool for broad core-collapse supernova (CCSN) model analyses. We also introduce our progress towards expanding a nuclear reaction network beyond the alphanetwork for the purpose of accurate in-situ nucleosynthesis, not only for core-collapse supernovae (CCSNe) in general, but for a special sub-class of supernovae called electron capture supernovae (ECSNe), which stem from progenitors stars between 8 and 10 M⊙. By using an advanced nuclear reaction network, our 2D and 3D code will allow for unparalleled studies of CCSNe and ECSNe ejecta.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/402/1/012025