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20172025
most citedMachine Learning and LHC Event Generation

113 citations · 154 across the 10 of their papers we have counts for

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14 papers · 1 filter

hep-ph2025★ 2 cited

One-Loop Calculations in Effective Field Theories with GoSam-3.0

Jens Braun, Benjamin Campillo Aveleira, Gudrun Heinrich +5

We present a major update of the one-loop generator GoSam, containing performance improvements as well as new features, in particular functionalities that facilitate calculations b…

hep-ph2025

Master integrals for semi-inclusive cuts of massless four-loop propagators

Vitaly Magerya, Levente Fekésházy

We present the analytic calculation of all master integrals for 3-, 4-, and 5-particle semi-inclusive cuts of four-loop massless propagators by means of differential equations. We…

hep-ph2024★ 5 cited

Interpolating amplitudes

Víctor Bresó, Gudrun Heinrich, Vitaly Magerya +1

The calculation of scattering amplitudes at higher orders in perturbation theory has reached a high degree of maturity. However, their usage to produce physical predictions within…

hep-ph2024★ 14 cited

Two-loop amplitudes for ttH production: the quark-initiated Nf-part

Bakul Agarwal, Gudrun Heinrich, Stephen P. Jones +5

We present numerical results for the two-loop virtual amplitude entering the NNLO corrections to Higgs boson production in association with a top quark pair at the LHC, focusing, a…

hep-ph2023

Evaluating scattering amplitudes with pySecDec 1.6

Vitaly Magerya

pSecDec is a computer tool to evaluate Feynman integrals and their weighted sums (amplitudes) using the method of sector decomposition and numerical integration. The new release of…

hep-ph2022★ 113 cited

Machine Learning and LHC Event Generation

Anja Butter, Tilman Plehn, Steffen Schumann +48

First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…