Evaluating Systematic Dependencies of Type Ia Supernovae: The Influence of Deflagration to Detonation Density
Aaron P. Jackson (1), Alan C. Calder (1, 2), Dean M. Townsley (3),, David A. Chamulak (4, 6), Edward F. Brown (5, 6), F. X. Timmes (6 and, 7) ((1) The State University of New York - Stony Brook, (2) New York Center, for Computational Sciences

TL;DR
This study investigates how the transition density from deflagration to detonation affects Ni-56 production in Type Ia supernovae, revealing a quadratic relationship and metallicity dependence, using controlled 2D simulations.
Contribution
It introduces a detailed statistical framework with realistic progenitor models to quantify how DDT density influences Ni-56 yields in supernova simulations.
Findings
NSE yield depends quadratically on log of transition density.
Higher metallicity decreases Ni-56 yield by about 0.067 solar masses.
The metallicity effect on yield is comparable to initial composition variations.
Abstract
We explore the effects of the deflagration to detonation transition (DDT) density on the production of Ni-56 in thermonuclear supernova explosions (type Ia supernovae). Within the DDT paradigm, the transition density sets the amount of expansion during the deflagration phase of the explosion and therefore the amount of nuclear statistical equilibrium (NSE) material produced. We employ a theoretical framework for a well-controlled statistical study of two-dimensional simulations of thermonuclear supernovae with randomized initial conditions that can, with a particular choice of transition density, produce a similar average and range of Ni-56 masses to those inferred from observations. Within this framework, we utilize a more realistic "simmered" white dwarf progenitor model with a flame model and energetics scheme to calculate the amount of Ni-56 and NSE material synthesized for a suite…
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Taxonomy
TopicsNuclear reactor physics and engineering · Nuclear physics research studies · Gamma-ray bursts and supernovae
