Title: Implications for Post-Processing Nucleosynthesis of Core-Collapse Supernova Models with Lagrangian Particles,
Abstract: We investigate core-collapse supernova (CCSN) nucleosynthesis with
self-consistent, axisymmetric (2D) simulations performed using the
radiation-hydrodynamics code Chimera. Computational costs have traditionally
constrained the evolution of the nuclear composition within multidimensional
CCSN models to, at best, a 14-species $\alpha$-network capable of tracking only
$(\alpha,\gamma)$ reactions from $^{4}$He to $^{60}$Zn. Such a simplified
network limits the ability to accurately evolve detailed composition and
neutronization or calculate the nuclear energy generation rate. Lagrangian
tracer particles are commonly used to extend the nuclear network evolution by
incorporating more realistic networks in post-processing nucleosynthesis
calculations. However, limitations such as poor spatial resolution of the
tracer particles, inconsistent thermodynamic evolution, including misestimation
of expansion timescales, and uncertain determination of the multidimensional
mass-cut at the end of the simulation impose uncertainties inherent to this
approach. We present a detailed analysis of the impact of such uncertainties
for four self-consistent axisymmetric CCSN models initiated from stellar
metallicity, non-rotating progenitors of 12 $M_\odot$, 15 $M_\odot$, 20
$M_\odot$, and 25 $M_\odot$ and evolved with the smaller $\alpha$-network to
more than 1 s after the launch of an explosion.