PyCFTBoot：共形bootstrap的灵活接口
PyCFTBoot: A flexible interface for the conformal bootstrap
AI总结：
本文介绍了PyCFTBoot，一个降低共形bootstrap计算门槛的wrapper，它利用Symengine和SDPB处理符号与数值步骤，并通过示例验证了其可用性及在多关联函数bootstrap中的应用。
摘要：
我们引入了PyCFTBoot，这是一个旨在降低共形bootstrap计算门槛的wrapper，此类计算需要半定规划。Symengine和SDPB分别用于最密集的符号和数值步骤。在回顾了共形块的内置算法后，我们通过多个验证过往结果的示例说明了如何使用该代码。作为应用，我们展示了多关联函数bootstrap在3到4维之间似乎仍将Wilson-Fisher不动点作为特殊理论挑选出来，尽管最近证明它们违反了幺正性。
英文摘要：
We introduce PyCFTBoot, a wrapper designed to reduce the barrier to entry in conformal bootstrap calculations that require semidefinite programming. Symengine and SDPB are used for the most intensive symbolic and numerical steps respectively. After reviewing the built-in algorithms for conformal blocks, we explain how to use the code through a number of examples that verify past results. As an application, we show that the multi-correlator bootstrap still appears to single out the Wilson-Fisher fixed points as special theories in dimensions between 3 and 4 despite the recent proof that they violate unitarity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
