2022
DOI: 10.1016/j.cpc.2021.108267
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Expansion by regions with pySecDec

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Cited by 40 publications
(29 citation statements)
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“…To evaluate the master integrals, we applied sector decomposition as implemented in the program pySecDec [48,49], using a quasi-Monte Carlo algorithm [49,50] for the numerical integration. In particular, we made use of one of the new features of pySecDec [51] to integrate a weighted sum of integrals such that the number of sampling points used for each integral is dynamically set, according to its contribution to the total uncertainty of the amplitude.…”
Section: Virtual Two-loop Contributionsmentioning
confidence: 99%
“…To evaluate the master integrals, we applied sector decomposition as implemented in the program pySecDec [48,49], using a quasi-Monte Carlo algorithm [49,50] for the numerical integration. In particular, we made use of one of the new features of pySecDec [51] to integrate a weighted sum of integrals such that the number of sampling points used for each integral is dynamically set, according to its contribution to the total uncertainty of the amplitude.…”
Section: Virtual Two-loop Contributionsmentioning
confidence: 99%
“…Recently, pySecDec develops some interesting new functions[128] like expansion by regions and automatic summation in the version 1.5, which was not applied in our calculation. Also, the new FIESTA5 has been published in[129] 22.…”
mentioning
confidence: 99%
“…A possible way to control this behavior has been proposed in Ref. [47]. Together with the absolute integration error, the improvement factors also start to fluctuate strongly for large energies.…”
Section: Performancementioning
confidence: 99%
“…They can be dealt with by a deformation of the integration contour into the complex plane [39][40][41][42]. An automated procedure to do so has been implemented for the first time in SECDEC [43] and has been refined in SECDEC-3 [44] and pySECDEC [45][46][47].…”
Section: Introductionmentioning
confidence: 99%