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Expansion by regions with pySecDec

G. Heinrich, S. Jahn, S. P. Jones, M. Kerner, F. Langer, V. Magerya, A. Poldaru, J. Schlenk, E. Villa

TL;DR

The paper presents a geometric formulation of expansion by regions and its implementation in pySecDec, enabling automated asymptotic expansions and efficient evaluation of multi-loop amplitudes. It harnesses the Newton polytope geometry and Cheng-Wu invariance to identify regions and to cover the integration domain, including handling of thresholds and regulators. Key contributions include automated region-based expansions, amplitude computation via weighted sums, and adaptive contour deformation, all demonstrated across a range of one- and two-loop examples. The approach significantly improves performance in scale-hierarchical regimes and provides a practical toolkit for phenomenological applications in high-energy physics.

Abstract

We discuss the technique of expansion by regions from a geometric perspective, and its implementation within pySecDec, a toolbox for the evaluation of dimensionally regulated parameter integrals. The program offers an automated way to perform asymptotic expansions and provides a new mechanism for efficiently evaluating amplitudes, as well as individual integrals. The usage of the new features available within pySecDec is illustrated with several examples.

Expansion by regions with pySecDec

TL;DR

The paper presents a geometric formulation of expansion by regions and its implementation in pySecDec, enabling automated asymptotic expansions and efficient evaluation of multi-loop amplitudes. It harnesses the Newton polytope geometry and Cheng-Wu invariance to identify regions and to cover the integration domain, including handling of thresholds and regulators. Key contributions include automated region-based expansions, amplitude computation via weighted sums, and adaptive contour deformation, all demonstrated across a range of one- and two-loop examples. The approach significantly improves performance in scale-hierarchical regimes and provides a practical toolkit for phenomenological applications in high-energy physics.

Abstract

We discuss the technique of expansion by regions from a geometric perspective, and its implementation within pySecDec, a toolbox for the evaluation of dimensionally regulated parameter integrals. The program offers an automated way to perform asymptotic expansions and provides a new mechanism for efficiently evaluating amplitudes, as well as individual integrals. The usage of the new features available within pySecDec is illustrated with several examples.

Paper Structure

This paper contains 32 sections, 76 equations, 12 figures, 1 table.

Figures (12)

  • Figure 1: One loop bubble with a squared massive propagator. Dashed lines denote massless propagators. The "dot" means that the corresponding propagator occurs with power two in the integral.
  • Figure 2: Newton polytope for $P(x,t) = t+x+x^2$, together with the directions of the region vectors (drawn as normal vectors to the facets in positive $t$-direction).
  • Figure 3: Newton polytope for $P(x,t) = t+x+x^2$, along with an example vector $\mathbf{u}'$.
  • Figure 4: Example of subdivisions generated by expansion by region of integrals as defined in \ref{['eq:int']} with $P_1 = 1 + t x_1 + x_1 x_2 + t x_2$ (left) and $P_2 = t + x_1 + t x_1 x_2 + x_2$ (right) in the limit $t\rightarrow0$.
  • Figure 5: Scan over different orders of magnitude of $r = m^2/s$ for the first of the three two-loop triangles given in Table \ref{['tab:timings']}. Integration times (in minutes) are plotted against $r$. The relative accuracy goal is $10^{-3}$; the wall clock limit has been set to 5 hours. The dashed lines denote the evaluation with standard pySecDec, the solid lines denote the evaluation with the expansion by regions option of pySecDec.
  • ...and 7 more figures