We present pySecDec, a new version of the program SecDec, which performs the
factorisation of dimensionally regulated poles in parametric integrals, and the
subsequent numerical evaluation of the finite coefficients. The algebraic part
of the program is now written in the form of python modules, which allow a very
flexible usage. The optimization of the C++ code, generated using FORM, is
improved, leading to a faster numerical convergence. The new version also
creates a library of the integrand functions, such that it can be linked to
user-specific codes for the evaluation of matrix elements in a way similar to
analytic integral libraries.
%0 Journal Article
%1 Borowka2017PySecDec
%A Borowka, S.
%A Heinrich, G.
%A Jahn, S.
%A Jones, S. P.
%A Kerner, M.
%A Schlenk, J.
%A Zirke, T.
%D 2017
%J Computer Physics Communications
%K tools
%P 313--326
%R 10.1016/j.cpc.2017.09.015
%T pySecDec: a toolbox for the numerical evaluation of multi-scale integrals
%U http://dx.doi.org/10.1016/j.cpc.2017.09.015
%V 222
%X We present pySecDec, a new version of the program SecDec, which performs the
factorisation of dimensionally regulated poles in parametric integrals, and the
subsequent numerical evaluation of the finite coefficients. The algebraic part
of the program is now written in the form of python modules, which allow a very
flexible usage. The optimization of the C++ code, generated using FORM, is
improved, leading to a faster numerical convergence. The new version also
creates a library of the integrand functions, such that it can be linked to
user-specific codes for the evaluation of matrix elements in a way similar to
analytic integral libraries.
@article{Borowka2017PySecDec,
abstract = {{We present pySecDec, a new version of the program SecDec, which performs the
factorisation of dimensionally regulated poles in parametric integrals, and the
subsequent numerical evaluation of the finite coefficients. The algebraic part
of the program is now written in the form of python modules, which allow a very
flexible usage. The optimization of the C++ code, generated using FORM, is
improved, leading to a faster numerical convergence. The new version also
creates a library of the integrand functions, such that it can be linked to
user-specific codes for the evaluation of matrix elements in a way similar to
analytic integral libraries.}},
added-at = {2019-02-23T22:09:48.000+0100},
archiveprefix = {arXiv},
author = {Borowka, S. and Heinrich, G. and Jahn, S. and Jones, S. P. and Kerner, M. and Schlenk, J. and Zirke, T.},
biburl = {https://www.bibsonomy.org/bibtex/2d37020ee9f556d0a174f62757b9d391d/cmcneile},
citeulike-article-id = {14322467},
citeulike-linkout-0 = {http://arxiv.org/abs/1703.09692},
citeulike-linkout-1 = {http://arxiv.org/pdf/1703.09692},
citeulike-linkout-2 = {http://dx.doi.org/10.1016/j.cpc.2017.09.015},
day = 26,
doi = {10.1016/j.cpc.2017.09.015},
eprint = {1703.09692},
interhash = {90fa8f0fac5034906db229423450ce59},
intrahash = {d37020ee9f556d0a174f62757b9d391d},
issn = {00104655},
journal = {Computer Physics Communications},
keywords = {tools},
month = nov,
pages = {313--326},
posted-at = {2017-03-29 11:23:42},
priority = {2},
timestamp = {2019-02-23T22:15:27.000+0100},
title = {{pySecDec: a toolbox for the numerical evaluation of multi-scale integrals}},
url = {http://dx.doi.org/10.1016/j.cpc.2017.09.015},
volume = 222,
year = 2017
}