论文标题
$ \ texttt {tapir} $：用于拓扑，振幅，部分分数分解和减少输入的工具
$\texttt{tapir}$: A tool for topologies, amplitudes, partial fraction decomposition and input for reductions
论文作者
论文摘要
近年来，高能物理学领域对精确预测的需求显着增加。在LHC进行的实验，以及在Belle II等强度边界上进行的精确测量需要同样精确的理论预测，以充分利用获得的数据。为了匹配实验精度，需要两，三，三和一定的数量，甚至需要更高的计算。 为了促进此类计算，需要尽可能多地自动化步骤。但是，每个计算都会带来不同的挑战，因此需要高水平的可配置性。在这种情况下，我们介绍$ \ texttt {tapir} $：用于识别，操纵和最小化Feynman Integrant家族的工具。它旨在集成在$ \ texttt {form} $的工具链中，这是现场的常见实践。 $ \ texttt {tapir} $可用于减少与切割器，拓扑映射，部分分数分解和相似的多环问题的复杂性。
The demand for precision predictions in the field of high energy physics has dramatically increased over recent years. Experiments conducted at the LHC, as well as precision measurements at the intensity frontier such as Belle II require equally precise theoretical predictions to make full use of the acquired data. To match the experimental precision, two-, three- and, for certain quantities, even higher-loop calculations are required. To facilitate such calculations, computer software automating as many steps as possible is required. Yet, each calculation poses different challenges and thus, a high level of configurability is required. In this context we present $\texttt{tapir}$: a tool for identification, manipulation and minimization of Feynman integral families. It is designed to integrate in $\texttt{FORM}$-based toolchains which is common practice in the field. $\texttt{tapir}$ can be used to reduce the complexity of multi-loop problems with cut-filters, topology mapping, partial fraction decomposition and alike.
