Turbulence in a 3D deflagration model for type Ia SNe: II. Intermittency and the deflagration-to-detonation transition probability
W. Schmidt, F. Ciaraldi-Schoolmann, J. C. Niemeyer, F. K. Roepke, W., Hillebrandt

TL;DR
This paper investigates turbulence intermittency in 3D deflagration models of type Ia supernovae and assesses how it influences the probability of a deflagration-to-detonation transition, with implications for supernova explosion timing.
Contribution
It introduces a detailed analysis of turbulence intermittency models and their impact on DDT probability in supernova simulations, highlighting the significance of velocity fluctuation distributions.
Findings
Log-normal model suggests delayed DDT between 0.7-0.8 s.
Roepke's velocity fluctuations indicate higher DDT probability.
Diverse velocity fluctuation distributions can enable multiple DDTs around 0.8 s.
Abstract
The delayed detonation model describes the observational properties of the majority of type Ia supernovae very well. Using numerical data from a three-dimensional deflagration model for type Ia supernovae, the intermittency of the turbulent velocity field and its implications on the probability of a deflagration-to-detonation (DDT) transition are investigated. From structure functions of the turbulent velocity fluctuations, we determine intermittency parameters based on the log-normal and the log-Poisson models. On the other hand, the analysis of the turbulent velocity fluctuations in the vicinity of the flame front by Roepke suggests a much higher probability of large velocity fluctuations on the grid scale in comparison to the log-normal intermittency model. Following Pan et al., we computed probability density functions for a DDT for the different distributions. Assuming that a DDT…
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