Upgrade of the LHCb simulation framework with advanced particle event generators

Sammanfattning: The LHCb experiment is one of the main detectors in function at the Large Hadron Collider (LHC) at CERN. In order to interpret the data recorded by the detector, Monte Carlo (MC) samples are used as a way to validate and test theories by comparison with the experimental data. This is especially true for Beyond the Standard Model (BSM) physics, for which Matrix Element Correction (MEC) generators, such as Madgraph, are needed in order to accurately simulate the hard process of a proton-proton collision.As the LHCb detector underwent a major upgrade for the Run 3 data-taking campaign, also its related software is being upgraded to cope with the increased amount of data being recorded by the detector. Specifically, the simulation software used by LHCb, called Gauss, has been updated to a version based on the new experiment-independent framework Gaussino. In order to produce BSM events for Run 3, Gauss, and therefore Gaussino, needs an interface to a MEC generator.This thesis proposes the implementation of an interface to Madgraph and other hard process generators for BSM physics in Gaussino, and an overall update and restructuring of its generation framework, concerning its production interfaces and tools, and the preparation of a multi-threaded environment for the production of BSM event samples. Although more updates in the Gaussino base framework are still needed to integrate all the implementations performed during the course of this thesis, the upgrade successfully interfaced Madgraph to Gaussino, simplified the overall generation framework of the LHCb software, and proved to be able to produce Monte Carlo simulations for Run 3.