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Machine Learning Gauged Supergravity
Fortschritte der Physik ( IF 5.6 ) Pub Date : 2020-03-19 , DOI: 10.1002/prop.202000027 Chethan Krishnan 1 , Vyshnav Mohan 1 , Soham Ray 1
Fortschritte der Physik ( IF 5.6 ) Pub Date : 2020-03-19 , DOI: 10.1002/prop.202000027 Chethan Krishnan 1 , Vyshnav Mohan 1 , Soham Ray 1
Affiliation
Type IIB string theory on a 5‐sphere gives rise to gauged supergravity in five dimensions. Motivated by the fact that this is the context of the most widely studied example of the AdS/CFT correspondence, we undertake an investigation of its critical points. The scalar manifold is an coset, and the challenge is that it is 42‐dimensional. We take a Machine Learning approach to the problem using TensorFlow, and this results in a substantial increase in the number of known critical points. Our list of 32 critical points contains all five of the previously known ones, including an supersymmetric point identified by Khavaev, Pilch and Warner.
中文翻译:
机器学习衡量超重力
五球上的IIB型弦理论在五个维度上产生了规范的超重力。由于这是AdS / CFT对应关系研究最广泛的示例的事实,因此我们对其关键点进行了调查。标量流形是同伴集,而挑战在于它是42维的。我们使用TensorFlow采取机器学习方法来解决问题,这导致已知关键点的数量大大增加。我们的32个关键点列表包含了所有先前已知的五个关键点,包括由Khavaev,Pilch和Warner识别的超对称点。
更新日期:2020-03-19
中文翻译:
机器学习衡量超重力
五球上的IIB型弦理论在五个维度上产生了规范的超重力。由于这是AdS / CFT对应关系研究最广泛的示例的事实,因此我们对其关键点进行了调查。标量流形是同伴集,而挑战在于它是42维的。我们使用TensorFlow采取机器学习方法来解决问题,这导致已知关键点的数量大大增加。我们的32个关键点列表包含了所有先前已知的五个关键点,包括由Khavaev,Pilch和Warner识别的超对称点。