17–22 May 2026
C.I.D
Europe/Zurich timezone

Optimisation Techniques for Integrated Luminosity with and without $\beta^\ast$ Levelling for a circular collider with examples from the CERN LHC

MOP1060
18 May 2026, 16:00
2h
C.I.D

C.I.D

Deauville, France
Poster Presentation MC1.A01: Hadron Colliders Poster session

Speaker

Maria Aquilina (University of Malta)

Description

The main performance indicator of a particle collider is the integrated luminosity. It depends not only on operational efficiency, but also on a range of beam parameters to be optimised to enhance performance. It is common to operate a collider with decaying luminosity, due to beam burn-off. However, the planned luminosity upgrade of the LHC (HL-LHC) is based on luminosity levelling: a time variation of colliding-beam offset, crossing angle and $\beta^\ast$ is used to keep luminosity constant over a certain lapse of time. The operating experience on luminosity levelling is gathered at the LHC, which uses different levelling strategies. In this work, we investigate optimisation strategies to maximise integrated luminosity without and with $\beta^\ast$ levelling. Monte Carlo simulations of years of physics runs have been performed with and without optimisation approaches. The key physical parameters are derived from a detailed analysis of the data collected at the LHC during the Run~2 and Run~3 periods. These findings provide valuable information for improving future LHC operational strategies and preparing for forthcoming collider configurations in the HL-LHC era.

In which format do you inted to submit your paper? LaTeX
Preprint marking on your proceeding paper I do not wish my paper to be marked as preprint.

Authors

Maria Aquilina (University of Malta) Massimo Giovannozzi (European Organization for Nuclear Research)

Co-authors

Armando Bazzani (University of Bologna) Dr Benedetto Giacobbe (Istituto Nazionale di Fisica Nucleare, Sezione di Bologna) Mr Edoardo Mazzola (University of Bologna) Federico Capoani (European Organization for Nuclear Research) Gianluca Valentino (University of Malta)

Presentation materials

There are no materials yet.