CERN Accelerating science

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1.
Fiber Bragg Grating Sensors as Beam-Induced Heating Monitor for the Central Beam Pipe of CMS / Fienga, Francesco (U. Naples (main) ; CERN) ; Beni, Noemi (CERN ; Debrecen, Inst. Nucl. Res.) ; Breglio, Giovanni (U. Naples (main) ; CERN) ; Buontempo, Salvatore (INFN, Naples ; CERN) ; Carra, Federico (CERN) ; Giordano, Francesco (CERN) ; Irace, Andrea (U. Naples (main)) ; Marrazzo, Vincenzo Romano (CERN ; U. Naples (main)) ; Salvant, Benoit (CERN) ; Sito, Leonardo (CERN ; U. Naples (main)) et al.
The passage of a high-intensity particle beam inside accelerator components generates heating, potentially leading to degradation of the accelerator performance or damage to the component itself. It is therefore essential to monitor such beam-induced heating in accelerators. [...]
2022 - 4 p. - Published in : JACoW IBIC 2022 (2022) 28-31 Fulltext: PDF;
In : 11th International Beam Instrumentation Conference (IBIC 2022), Cracow, Poland, 11 - 15 Sep 2022, pp.28-31
2.
Direct Measurement of Beam-Induced Heating on Accelerator Pipes With Fiber Optic Sensors: Numerical Analysis Validation / Fienga, Francesco (CERN ; U. Naples (main)) ; Romano Marrazzo, Vincenzo (CERN ; U. Naples (main)) ; Sito, Leonardo (CERN ; U. Naples (main)) ; Giordano, Francesco (CERN) ; Beni, Noemi (CERN ; U. Debrecen, Inst. Phys.) ; Szillasi, Zoltan (U. Debrecen, Inst. Phys. ; CERN) ; Irace, Andrea (U. Naples (main)) ; Zeuner, Wolfram (CERN) ; Salvant, Benoit (CERN) ; Buontempo, Salvatore (INFN, Naples ; CERN) et al.
In the field of accelerator physics, it is crucial to account for heating caused by the passage of high-intensity beams into accelerator components. This phenomenon is known as radio frequency (RF) beam-induced heating (BIH) and requires, other than an accurate design stage, to constantly monitor temperature-related parameters during the accelerator operations. [...]
2023 - 9 p. - Published in : IEEE Trans. Instrum. Meas. 72 (2023) 9508709
3.
Estimating the impedance of a synchrotron component from beam-induced power loss / Arpaia, P (U. Naples (main)) ; De Vito, L (Sannio U.) ; Giordano, F (U. Naples (main) ; CERN) ; Salvant, B (CERN)
A method for a first-order approximation estimation of the longitudinal impedance of a synchrotron component, starting from power loss measurements on the device, is proposed. This method also estimates the resonance frequency and the quality factor of the impedance after the execution of several machine runs, without disconnecting the device. [...]
2020 - Published in : Nucl. Instrum. Methods Phys. Res., A 955 (2020) 163244
4.
iPipe: An Innovative Fiber Optic Monitoring System for Beam Induced Heating on Accelerator Pipes / Fienga, Francesco (INFN, Naples) ; Ball, Austin (CERN) ; Beni, Noemi (CERN) ; Breglio, Giovanni (Naples U.) ; Buontempo, Salvatore (INFN, Naples ; CERN) ; Irace, Andrea (Naples U.) ; Masullo, Maria Rosaria (INFN, Naples) ; Salvant, Benoit (CERN) ; Szillasi, Zoltan (Debrecen, Inst. Nucl. Res.) ; Vaccaro, Vittorio (Naples U.) et al.
The iPipe project consists in the instrumentation, with Fiber Bragg Grating sensors (FBGs), of the beam pipe of the CMS experiment, which is part of the LHC. Being spectrally encoded, the FBGs are not sensitive to electromagnetic interference and broadband-radiation-induced losses. [...]
CERN-ACC-2018-088.- 2018 - 3 p. - Published in : 10.18429/JACoW-IPAC2018-WEPAL011 Fulltext: PDF;
In : 9th International Particle Accelerator Conference, Vancouver, Canada, 29 Apr - 4 May 2018, pp.WEPAL011
5.
Understanding of the LHC warm vacuum module heating / Krkotic, Patrick (CERN) ; Baglin, Vincent (CERN) ; Chiggiato, Paolo (CERN) ; Papaphilippou, Yannis (CERN) ; Rumolo, Giovanni (CERN) ; Antuono, Chiara (CERN ; Rome U.) ; Bregliozzi, Giuseppe (CERN) ; Calatroni, Sergio (CERN) ; de la Fuente, Elena (CERN ; Madrid, Polytechnic U.) ; Galloro, Alessio (Calabria U. ; CERN) et al.
During the third run of the Large Hadron Collider in 2023, which had the highest intensity bunch population compared to previous runs, increased losses attributed to pressure spikes within a warm vacuum sector triggered a beam dump. Subsequent inspections revealed localised annealing and plasticisation of the tension spring in the sliding contact radio-frequency finger module, alongside traces of vapour deposition on the various module components with the stainless-steel spring material. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) TUAN3 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.TUAN3
6.
Full Analog Fiber Optic Monitoring System Based on Arrayed Waveguide Grating / Marrazzo, Vincenzo Romano (Naples U. ; INFN, Naples) ; Fienga, Francesco (Naples U. ; INFN, Naples ; CERN) ; Laezza, Dario (Naples U. ; INFN, Naples) ; Riccio, Michele (Naples U.) ; Irace, Andrea (Naples U.) ; Buontempo, Salvatore (INFN, Naples ; CERN) ; Breglio, Giovanni (Naples U. ; CERN)
Fiber Optic Sensors (FOS), whose advantages have made them widely used in many applications, are up to now not so diffusely used for the monitoring of industrial processes, mainly due to two aspects: the expensiveness and complexity of the sensors monitoring systems. For these reasons, these sensor systems are usually substituted with low performance but easier to manage sensors, in agreement with industrial monitoring standards. [...]
2021 - 7 p. - Published in : J. Lightwave Technol. 39 (2021) 4990-4996
7.
Fiber Bragg Grating Sensors as Innovative Monitoring Tool for Beam Induced RF Heating on LHC Beam Pipe / Fienga, Francesco (Naples U. ; INFN, Italy ; CERN) ; Marrazzo, Vincenzo Romano (Naples U.) ; Spedding, Sara Bennett (Naples U.) ; Szillasi, Zoltan (Debrecen, Inst. Nucl. Res. ; CERN) ; Beni, Noemi (Debrecen, Inst. Nucl. Res. ; CERN) ; Irace, Andrea (Naples U.) ; Zeuner, Wolfram (CERN) ; Ball, Austin (CERN) ; Vaccaro, Vittorio Giorgio (Naples U.) ; Salvant, Benoit (CERN) et al.
The i-pipe system is a peculiar structural health monitoring system, based on Fiber Bragg Grating technology, installed on the central beam pipe of the compact Muon solenoid (CMS) experiment at CERN. In this contribution, i-pipe temperature sensors, originally conceived as thermal compensator for the strain sensors, are employed to monitor central beam pipe thermal behavior in correlation with the parameters of the particle beam travelling inside, in order to directly measure possible Beam RF induced heating effect. [...]
2021 - 6 p. - Published in : J. Lightwave Technol. 39 (2021) 4145-4150
8.
Beam Performance with the LHC Injectors Upgrade / zannini, C (CERN) ; Wegner, R (CERN) ; Vollinger, C (CERN) ; Veness, R (CERN) ; Velotti, F (CERN) ; Sullivan, M (CERN) ; Steerenberg, R (CERN) ; Spierer, A (CERN) ; Skowronski, P (CERN) ; Sito, L (CERN) et al.
The LHC Injectors Upgrade (LIU) project was put in place between 2010 and 2021 to increase the intensity and brightness in the LHC injectors to match the challenging requirements of the High-Luminosity LHC (HL-LHC) project, while ensuring reliable operation of the injectors complex up to the end of the HL-LHC era (ca. 2040). [...]
2024 - 8 p. - Published in : JACoW HB 2023 (2024) 1-8 Fulltext: PDF;
In : 68th ICFA Advanced Beam Dynamics workshop on high-Intensity and High-Brightness Hadron Beams (HB 2023), CERN, Geneva, Switzerland, 9 - 13 Oct 2023, pp.1-8
9.
A Python Package to Compute Beam-Induced Heating in Particle Accelerators and Applications / Sito, Leonardo (CERN) ; Giordano, Francesco (CERN) ; Rumolo, Giovanni (CERN) ; Salvant, Benoit (CERN) ; Zannini, Carlo (CERN) ; de la Fuente, Elena (CERN)
High-energy particle beams interact electromagnetically with their surroundings when they travel inside an accelerator. These interactions may cause beam-induced heating of the accelerator’s components, which could eventually lead to outgassing, equipment degradation and physical damage. [...]
2024 - 4 p. - Published in : JACoW HB 2023 (2024) 611-614 Fulltext: PDF;
In : 68th ICFA Advanced Beam Dynamics workshop on high-Intensity and High-Brightness Hadron Beams (HB 2023), CERN, Geneva, Switzerland, 9 - 13 Oct 2023, pp.611-614
10.
Machine learning-based heating detection from pressure measurements in the CERN Large Hadron Collider / Arpaia, P (Naples U.) ; Giordano, F (U. Naples (main) ; Naples U. ; CERN) ; Prevete, R (Naples U.) ; Salvant, B (CERN)
Machine learning models are proposed to successfully detect heating from pressure measurements in synchrotron colliders. These models allow to analyze all the pressure measurements in the time available between two consecutive machine runs. [...]
2021 - 7 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 990 (2021) 164995

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