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[创源大讲堂] Orientifold Calabi-Yau threefolds: Constructions and Machine Learning

来源:数学学院 日期:2024/10/11 21:53:45 点击数:

学术报告海报--高昕_01.jpg

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)


作者:李晓斌   编辑:陈薇   


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