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

TL;DR
SecDec is a flexible, modular software tool that enables efficient numerical evaluation of multi-scale integrals in dimensional regularization, now enhanced with a Python interface and optimized code for faster computations.
Contribution
The paper introduces pySecDec, a rewritten version of SecDec in Python with improved modularity, customization, and integration capabilities, along with optimized numerical performance.
Findings
Enhanced modularity and customization with Python rewrite
Accelerated numerical integration using FORM optimization
New C++ interface for solving unknown integrals
Abstract
We present a new version of , a program for the numerical computation of parametric integrals in the context of dimensional regularization. By its modular structure, the rewrite is much more customizable than earlier versions of . The numerical integration is accelerated using code optimization available in . With the new interface, can provide numerical solutions of analytically unknown integrals in user-defined code.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Stochastic processes and financial applications · Reservoir Engineering and Simulation Methods
