Offline Computing resources for FCC-ee and related challenges

TL;DR

This paper discusses the computational resource challenges for the FCC-ee collider project, focusing on storage and processing needs, and explores solutions inspired by HL-LHC models to handle large data volumes.

Contribution

It analyzes the specific computing resource requirements for FCC-ee and proposes solutions based on existing HL-LHC models to address data processing challenges.

Findings

Significant storage and CPU needs identified for FCC-ee data processing.

Potential solutions adapted from HL-LHC models are suitable for FCC-ee.

Highlights the importance of scalable computing infrastructure for future colliders.

Abstract

The international Future Circular Collider (FCC) study aims at designing pp, e$^+$e$^-$, e$^\pm$p colliders to be built in a new 100 km tunnel in the Geneva region. The electroweak, Higgs and top factory (FCC-ee) is designed to provide collisions at a centre of mass energy range between 90 (Z-pole) and 365 GeV ($\mathrm{t\bar{t}}$) and unprecedented integrated luminosities, producing huge amounts of data which will pose significant challenges to data processing. In this essay we discuss the needs in terms of storage and CPU for the diverse phases of the project, and the possible solutions mostly based on the models developed for HL-LHC.