Collaborative Research: Stellar Models with Monte Carlo Reaction Rates

该奖项将支持理论上的努力，以探索新星爆发模型中核反应速率的不确定性和超新星前恒星的结构。 主要目标是建立一个新的反应速率库，用于恒星演化的计算。 这将首次提供将严格误差分配给结果的能力。 这些计算将探索从碳到钙的66个靶核核反应，这些反应的反应速率现在是可用的，作为构建下一代热核反应速率库的骨干。 该项目还将利用新的反应速率库来模拟大质量恒星和经典新星的演化，该项目将有助于劳动力发展，并将包括向天文学界分发研究产品。 将在一个网站上提供超新星和新星研究的输入模型和数据以及原始模型，供高级学生和其他科学家在自己的研究中使用。 研究生和博士后将接受现代实验和理论技术的培训，领导最先进的反应速率库的开发，使用高性能计算资源，并管理大型复杂的数据集。

This award will support a theoretical effort to explore uncertainties in nuclear reaction rates in models of nova outbursts and the structure pre-supernova stars. The principal goal will be to construct a new reaction rate library for calculations of stellar evolution. This will, for the first time, provide the ability to assign rigorous errors to the results. The calculations will explore 66 nuclear reactions on target nuclei from carbon through calcium, for which reaction rate rates are now available, as a backbone for construction of a next-generation library of thermonuclear reaction rates. The project will also employ the new reaction rate library for simulating the evolution of massive stars and classical novae.The project will contribute to workforce development and will include the distribution of research products to the astronomical community. The input models and data and the progenitor models for studies of supernovae and novae will be made available on a website for use by advanced students and other scientists for use in their own studies. Graduate students and a postdoctoral fellow will receive training in modern experimental and theoretical techniques, lead development of a state of the art reaction rate library, use high performance computing resources, and manage large, complex data sets.