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SecDec: a toolbox for the numerical evaluation of multi-scale integrals

MPS-Authors

Jahn,  Stephan
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

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Citation

Jahn, S. (2018). SecDec: a toolbox for the numerical evaluation of multi-scale integrals. Proceedings of Science, 017.


Cite as: http://hdl.handle.net/21.11116/0000-0003-F7C7-6
Abstract
We present a new version of $\texttt{SecDec}$, a program for the numerical computation of parametric integrals in the context of dimensional regularization. By its modular structure, the $\texttt{python}$ rewrite $\texttt{pySecDec}$ is much more customizable than earlier versions of $\texttt{SecDec}$. The numerical integration is accelerated using code optimization available in $\texttt{FORM}$. With the new $\texttt{C++}$ interface, $\texttt{pySecDec}$ can provide numerical solutions of analytically unknown integrals in user-defined code.