Project description
Overcoming barriers to accurate theoretical predictions for high-energy collisions
Particle collider experiments give us a window into the fundamental laws of nature. The interpretation of the outcomes of these experiments relies on the comparison against predictions based on the Standard Model of particle physics. With the support of the Marie Skłodowska-Curie Actions programme, the TopJAm project plans to compute the two-loop scattering amplitudes for the production of a top-quark pair in association with a jet at hadron colliders. The targeted amplitudes are the main barrier to improving the accuracy of the predictions for this process. This will allow us to make the most of the measurements at the Large Hadron Collider and thus improve our understanding of the heaviest known elementary particle: the top quark.
Objective
The Large Hadron Collider (LHC) at CERN allows us to investigate the fundamental laws of nature at unprecedentedly high energy. Our capability to harness this stunning potential relies on our ability to compute theoretical predictions to be compared against the experimental measurements. Keeping the theoretical uncertainties in line with the experimental ones requires computing theoretical predictions at least at the next-to-next-to-leading order (NNLO) in Quantum Chromodynamics (QCD), the quantum field theory which describes the strong interactions. A fundamental ingredient entering the theoretical predictions are the scattering amplitudes, which encode the probability distribution of the scattering processes observed in the experiments.
The project targets the computation of the two-loop amplitudes for the production of a top-quark pair in association with a jet. These amplitudes are the main bottleneck towards obtaining NNLO predictions for this process, which is a high priority of the LHC physics programme. The presence of the top-quark mass in a process involving so many particles represents a substantial step up in complexity with respect to the state of the art. The main difficulty lies in the appearance of classes of special functions whose systematic treatment and efficient evaluation are still open problems. Overcoming this bottleneck will require a close interplay between physics and mathematics. The algebraic complexity of the amplitudes themselves also represents a formidable challenge. I will tackle it by employing cutting-edge techniques based on numerical sampling over finite fields and advanced algorithms of rational reconstruction based on algebraic geometry and physical properties. The success of the project will not only open the door to NNLO predictions for this important process, but will improve significantly our capability of computing high-precision predictions for high-multiplicity processes in general.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesphysical sciencestheoretical physicsparticle physicsparticle accelerator
- natural sciencesphysical sciencesquantum physicsquantum field theory
- natural sciencesphysical sciencestheoretical physicsparticle physicsquarks
- natural sciencesmathematicspure mathematicsgeometry
- natural sciencesmathematicspure mathematicsalgebraalgebraic geometry
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
1211 Meyrin
Switzerland