Integration of FCCee workflows in ILCDirac for large scale Monte Carlo productions

The quest for deeper insights into fundamental particle physics beyond the capabilities of the Large Hadron Collider necessitates the construction of more powerful accelerators, and FCC emerges as a promising candidate to push the boundaries of scientific exploration. Feasibility studies for FCC involve intricate considerations, with extensive large-scale software simulations playing an important role in evaluating the collider's performance and potential scientific outcomes. The magnitude of these simulations places substantial demands on computational resources, thus necessitating the utilization of distributed computing solutions. The Worldwide LHC Computing Grid is a powerful infrastructure for executing large-scale simulations required for FCC. WLCG's global collaboration of several countries and institutions ensures the efficient distribution, replication, and accessibility of massive datasets, crucial for addressing the computational demands of FCC simulations. Within the WLCG framework, the Dirac Grid software provides a unified interface for managing and processing data across diverse computing resources. In this context, this thesis focuses on the development of Dirac's extension tailored for the Collider Community, known as ILCDirac, to conduct large-scale Monte Carlo simulations specific to FCC. ILCDirac choice is driven by its adaptability to the requirements of new high-energy physics experiments, including FCC, making the ideal instrument to accommodate FCC's simulation needs. This thesis delves into the integration of FCCee (Future Circular Collider electron-positron) software workflows within ILCDirac, contributing to the effective utilization of Dirac's capabilities for advancing the understanding of particle physics in the FCC era.