| Title: |
LHC Upgrades in preparation of Run 3 |
| Authors: |
Arduini, G.; Baglin, V.; Bartosik, H.; Bottura, L.; Bracco, C.; Bradu, B.; Bregliozzi, G.; Brodzinski, K.; Bruce, R.; Calviani, M.; Chiggiato, P.; Cruikshank, P.; Claudet, S.; Delikaris, D.; Fartoukh, S.; Garion, C.; Himmerlich, M.; Hostettler, M.; Iadarola, G.; Kostoglou, S.; Le Naour, S.; Lechner, A.; Lefevre, T.; Mether, L.; Papaphilippou, Y.; Petit, V.; Pojer, M.; Poyet, A.; Redaelli, S.; Rodriguez Mateos, F.; Rumolo, G.; Salvant, B.; Sanchez Galan, F.; Siemko, A.; Solfaroli-Camillocci, M.; Sterbini, G.; Taborelli, M.; Tavian, L.; Timko, H.; Tock, J.-Ph.; Verweij, A.; Wendt, M.; Wenninger, J.; Wollmann, D.; Yin Vallgren, Ch. |
| Source: |
Journal of Instrumentation ; volume 19, issue 05, page P05061 ; ISSN 1748-0221 |
| Publisher Information: |
IOP Publishing |
| Publication Year: |
2024 |
| Description: |
The Large Hadron Collider (LHC) Long Shutdown 2 (2019–2021), following LHC Run 2, was primarily dedicated to the upgrade of the LHC Injectors but it included also a significant amount of activities aimed at consolidation of the LHC machine components, removal of known limitations and initial upgrades in view of the High-Luminosity LHC (HL-LHC) to favour the intensity ramp-up during Run 3 (2022–2025). An overview of the major modifications to the accelerator and its systems is followed by a summary of the results of the superconducting magnet training campaign to increase the LHC operation energy beyond the maximum value of 6.5 TeV reached during Run 2. The LHC configuration and the scenarios for proton and ion operation for Run 3 are presented considering the expected performance of the upgraded LHC Injectors and the proton beam intensity limitations resulting from the heat load on the cryogenic system due to beam-induced electron cloud and impedance. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| DOI: |
10.1088/1748-0221/19/05/p05061 |
| DOI: |
10.1088/1748-0221/19/05/P05061 |
| DOI: |
10.1088/1748-0221/19/05/P05061/pdf |
| Availability: |
https://doi.org/10.1088/1748-0221/19/05/p05061; https://iopscience.iop.org/article/10.1088/1748-0221/19/05/P05061; https://iopscience.iop.org/article/10.1088/1748-0221/19/05/P05061/pdf |
| Rights: |
http://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| Accession Number: |
edsbas.6A864919 |
| Database: |
BASE |