Automated perturbative computations of cross sections for hard processes in asymmetric hadronic collisions at next-to-leading order in αs will offer a wide range of applications, such as more robust predictions for new experimental codes, the phenomenology of heavy-ion collisions, and the interpretation of the LHC and RHIC data. Such a goal can now be achieved using MadGraph5_aMC@NLO, a well-established tool for automatic generation of matrix elements and event generation for high energy physics processes in elementary collisions. We report here about the extension of MadGraph5_aMC@NLO, done by implementing computations for asymmetric collisions. These new capabilities will be made available via the EU Virtual Access NLOAccess (https://nloaccess.in2p3.fr).
A tool for automated perturbative cross section computations of asymmetric hadronic collisions at next-to-leading order using the MadGraph5_aMC@NLO framework
Flore C.;
2022-01-01
Abstract
Automated perturbative computations of cross sections for hard processes in asymmetric hadronic collisions at next-to-leading order in αs will offer a wide range of applications, such as more robust predictions for new experimental codes, the phenomenology of heavy-ion collisions, and the interpretation of the LHC and RHIC data. Such a goal can now be achieved using MadGraph5_aMC@NLO, a well-established tool for automatic generation of matrix elements and event generation for high energy physics processes in elementary collisions. We report here about the extension of MadGraph5_aMC@NLO, done by implementing computations for asymmetric collisions. These new capabilities will be made available via the EU Virtual Access NLOAccess (https://nloaccess.in2p3.fr).
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