Abstract
The international Future Circular Collider (FCC) study aims at designing mathrm {pp}, mathrm {e^{+}e^{-}}, mathrm {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{mathrm {t}}) and unprecedented integrated luminosities, producing huge amounts of data which will pose significant challenges to data processing. In this study, 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.
Highlights
The FCC-ee, the first stage of the Future Circular Collider (FCC) integrated programme [1], plans to collide e+e−at various centre-of-mass energies
The computing needs for FCC-ee are driven by the Z run and are usually considered comfortable, in particular considering that no or negligible pile-up is expected for an e+e− collider
After presenting the typical workflows which we consider relevant for this study in Sect. 2, in Sects. 3 and 4 we estimate the needs in terms of storage and computing, for the diverse phases of the project, namely Monte Carlo generation, 1 Machine–detector–interface-induced backgrounds can potentially be important at FCC-ee; they are the subject of ongoing detailed studies and the current results show that they should not significantly affect the size of the data samples [3]
Summary
The FCC-ee, the first stage of the Future Circular Collider (FCC) integrated programme [1], plans to collide e+e−at various centre-of-mass energies. FCC-ee is planned to start operation after the high-luminosity stage of LHC (HL-LHC) is completed, i.e. around 2040. The computing needs for FCC-ee are driven by the Z run and are usually considered comfortable, in particular considering that no or negligible pile-up is expected for an e+e− collider.. We assume the bulk of the studies, driven by the Physics Performance group [2], will be run during the three years 2022–2024. We need assumptions for the number of detector concepts to be evaluated. This is more complicated, and the only possible approach is to estimate the resources needed as a function of the number of detector variations to be evaluated. After presenting the typical workflows which we consider relevant for this study in Sect. 2, in Sects. 3 and 4 we estimate the needs in terms of storage and computing, for the diverse phases of the project, namely Monte Carlo generation,
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