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Predictive R-Process Calculations
Abstract
Understanding the nature of the r-process is one of the great unsolved problems in astrophysics. Obtaining accurate nuclear rates will eventually be critical in solving this problem. But to truly take advantage of accurate rates, we must understand the r-process beyond the phenomeno-logical level of postdictive science and move toward predictive models based on calculations anchored by physical models. Using the fallback r-process site, we outline the process of identifying the aspects of this model that are not yet understood and assessing the uncertainties in our lack of understanding. These are the first 2 steps of predictive modeling that can lead to the final step: addressing the aspects that produce the largest uncertainty and minimizing that uncertainty.
... In the study of nuclear rates of r-process, most scientists have focused on the reactions and trajectories behind wind-driven supernovae. Again, this is a too-narrow view and scientists working outside of this narrow view have discovered an entirely new nucleosynthetic path (or paths) to make r-process [9,7,8]. Unfortunately, these new paths depend on the subsequent evolution of the cooling matter as well as the peak temperature/density. Figure 3 shows density trajectories for matter that did not make the r-proces peak and matter that did [8]. ...
... Again, this is a too-narrow view and scientists working outside of this narrow view have discovered an entirely new nucleosynthetic path (or paths) to make r-process [9,7,8]. Unfortunately, these new paths depend on the subsequent evolution of the cooling matter as well as the peak temperature/density. Figure 3 shows density trajectories for matter that did not make the r-proces peak and matter that did [8]. Matter with the same peaks produced very different yields. ...
The nucleosynthetic yield from a supernova explosion depends upon a variety of effects: progenitor evolution, explosion process, details of the nuclear network, and nuclear rates. Especially in studies of integrated stellar yields, simplifications reduce these uncertainties. But nature is much more complex, and to actually study nuclear rates, we will have to understand the full, complex set of processes involved in nucleosynthesis. Here we discuss a few of these complexities and detail how the NuGrid collaboration will address them.
... In the study of nuclear rates of r-process, most scientists have focused on the reactions and tra- jectories behind wind-driven supernovae. Again, this is a too-narrow view and scientists working outside of this narrow view have discovered an entirely new nucleosynthetic path (or paths) to make r-process [9,7,8]. Unfortunately, these new paths depend on the subsequent evolution of the cooling matter as well as the peak temperature/density. Figure 3 shows density trajectories for matter that did not make the r-proces peak and matter that did [8]. ...
... Again, this is a too-narrow view and scientists working outside of this narrow view have discovered an entirely new nucleosynthetic path (or paths) to make r-process [9,7,8]. Unfortunately, these new paths depend on the subsequent evolution of the cooling matter as well as the peak temperature/density. Figure 3 shows density trajectories for matter that did not make the r-proces peak and matter that did [8]. Matter with the same peaks pro- duced very different yields. ...
The nucleosynthetic yield from a supernova explosion depends upon a variety of effects: progenitor evolution, explosion process, details of the nuclear network, and nuclear rates. Especially in studies of integrated stellar yields, simplifications reduce these uncertainties. But nature is much more complex, and to actually study nuclear rates, we will have to understand the full, complex set of processes involved in nucleosynthesis. Here we discuss a few of these complexities and detail how the NuGrid collaboration will address them.
The nucleosynthetic yield from a supernova explosion depends upon a variety of effects: progenitor evolution, explosion process, details of the nuclear network, and nuclear rates. Especially in studies of integrated stellar yields, simplifications reduce these uncertainties. But nature is much more complex, and to actually study nuclear rates, we will have to understand the full, complex set of processes involved in nucleosynthesis. Here we discuss a few of these complexities and detail how the NuGrid collaboration will address them. 10th Symposium on Nuclei in the Cosmos
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