报告时间：2024年10月17日上午10点-11点
报告地点：西南交通大学犀浦校区X30456
报告人：高昕研究员（四川大学）
报告题目：Orientifold Calabi-Yau threefolds: Constructions and Machine Learning
报告摘要：Using the Kreuzer-Skarke database of 4-dimensional reflexive polytopes, we systematically constructed a new database of orientifold Calabi-Yau threefolds up to h^{1,1}(X) =12. Our approach involved a non-trivial Z_2 involution, with both divisor exchanging and multi-reflections, acting on the Calabi-Yau manifolds. Each of such proper involutions will result in an orientifold Calabi-Yau manifolds and 320,386,067 of them was constructed. We developed a novel algorithm that significantly reduces the complexity of determining the fixed locus under the involutions, followed by the locations of different types of O-planes. It shows that under the proper involutions one end up with majority the O3/O7-planes system and most of them will further admit a naive Type IIB string vacua. Additionally, a new type of free action was determined. We also computed the smoothness and the splitting of Hodge numbers for these orientifold Calabi-Yau threefolds. Finally, We use the machine learning technique to search the polytope which can result in an orientifold Calabi-Yau hypersurface and the“naive type IIB string vacua”.
个人简介：2008年本科毕业于北京师范大学，2014年于中国科学院理论物理研究所获得博士学位，期间在德国马克斯-普朗克物理研究所博士联合培养。此后分别在美国弗吉尼亚理工大学，意大利INFN/罗马第二大学，德国海德堡大学从事博士后科学研究工作。曾获意大利国家核物理研究所理论物理博士后研究奖金，德国洪堡学者研究奖金。现在四川大学物理学院任教，研究方向为弦论唯象，计算代数几何，全息有效场论等。高昕个人主页：高昕-四川大学物理学院 (scu.edu.cn)
