Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Moodie, Ryan"'
Publikováno v:
JHEP 07 (2024) 124
We perform an exploratory study of a new approach for evaluating Feynman integrals numerically. We apply the recently-proposed framework of physics-informed deep learning to train neural networks to approximate the solution to the differential equati
Externí odkaz:
http://arxiv.org/abs/2312.02067
We compute the two-loop QED helicity amplitudes for the scattering of a lepton pair with an off-shell and an on-shell photon, $0\to\ell\bar\ell\gamma\gamma^*$, using the approximation of massless leptons. We express all master integrals relevant for
Externí odkaz:
http://arxiv.org/abs/2307.03098
Autor:
Badger, Simon, Czakon, Michal, Hartanto, Heribertus Bayu, Moodie, Ryan, Peraro, Tiziano, Poncelet, Rene, Zoia, Simone
In this work, we provide a comprehensive set of differential cross-section distributions for photon + di-jet production in proton-proton collisions with next-to-next-to-leading order precision in massless QCD. The event selection corresponds to recen
Externí odkaz:
http://arxiv.org/abs/2304.06682
Autor:
Moodie, Ryan
The ability to calculate analytic full-colour two-to-three two-loop helicity amplitudes in massless QCD has been a recent triumph of the field, driving phenomenology towards one percent precision. In this contribution, we focus on the virtual correct
Externí odkaz:
http://arxiv.org/abs/2302.08999
Autor:
Moodie, Ryan
In this thesis, we present recent advances at the precision frontier of higher-order quantum chromodynamics (QCD) calculations. We consider massless two-loop five-point amplitudes, with a particular focus on diphoton-plus-jet production through gluon
Externí odkaz:
http://arxiv.org/abs/2210.07115
Autor:
Moodie, Ryan
Precision phenomenological studies of high-multiplicity scattering processes at collider experiments present a substantial theoretical challenge and are vitally important ingredients in experimental measurements. Machine learning technology has the p
Externí odkaz:
http://arxiv.org/abs/2202.04506
We compute the next-to-leading order (NLO) QCD corrections to the gluon-fusion subprocess of diphoton-plus-jet production at the LHC. We compute fully differential distributions by combining two-loop virtual corrections with one-loop real radiation u
Externí odkaz:
http://arxiv.org/abs/2109.12003
Machine learning technology has the potential to dramatically optimise event generation and simulations. We continue to investigate the use of neural networks to approximate matrix elements for high-multiplicity scattering processes. We focus on the
Externí odkaz:
http://arxiv.org/abs/2106.09474
Autor:
Badger, Simon, Brønnum-Hansen, Christian, Chicherin, Dmitry, Gehrmann, Thomas, Hartanto, Heribertus Bayu, Henn, Johannes, Marcoli, Matteo, Moodie, Ryan, Peraro, Tiziano, Zoia, Simone
We present an analytic computation of the gluon-initiated contribution to diphoton plus jet production at hadron colliders up to two loops in QCD. We reconstruct the analytic form of the finite remainders from numerical evaluations over finite fields
Externí odkaz:
http://arxiv.org/abs/2106.08664
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