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    【學術(shù)講座】Orientifold Calabi-Yau threefolds: Constructions and Machine Learning

    2024-10-11 李曉斌 點擊:[]

    報告題目:Orientifold Calabi-Yau threefolds: Constructions and Machine Learning

    報告時間:2024年10月17日上午10點-11點

    報告地點:kaiyun開云官方網(wǎng)站犀浦校區(qū)3教X30456

    報告人:高昕研究員(四川大學)

    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”.

    報告人簡介:2008年本科畢業(yè)于北京師范大學,2014年于中國科學院理論物理研究所獲得博士學位,期間在德國馬克斯-普朗克物理研究所博士聯(lián)合培養(yǎng)。此后分別在美國弗吉尼亞理工大學,意大利INFN/羅馬第二大學,德國海德堡大學從事博士后科學研究工作。曾獲意大利國家核物理研究所理論物理博士后研究獎金,德國洪堡學者研究獎金。現(xiàn)在四川大學物理學院任教,研究方向為弦論唯象,計算代數(shù)幾何,全息有效場論等。


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