CERN Accelerating science

CERN Document Server Намерени са 14 записа  1 - 10следващ  отиване на запис: Търсенето отне 0.59 секунди. 
1.
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
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.
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
4.
Detailed Electromagnetic Characterisation of HL-LHC Low Impedance Collimators / Kurtulus, Adnan (CERN ; ETH, Zurich (main)) ; Accentura, Carlotta (CERN) ; Biancacci, Nicolo (CERN) ; Carra, Federico (CERN) ; Caspers, Fritz (CERN) ; Chitnis, Ninad (CERN) ; Giordano, Francesco (CERN) ; Illan Fiastre, Ricardo (CERN) ; Joly, Sébastien (CERN) ; Lamas Garcia, Inigo (CERN) et al.
The High Luminosity Large Hadron Collider (HL-LHC) project will upgrade the LHC machine to allow operation with increased luminosity for the experiments. In order to achieve this goal, different operational parameters of the machine need to be pushed beyond the present design values, including the stored beam energy. [...]
Geneva : JACoW, 2021 - 4 p. - Published in : JACoW IPAC 2021 (2021) 4258-4261 Fulltext: PDF;
In : 12th International Particle Accelerator Conference (IPAC 2021), Online, 24 - 28 May 2021, pp.4258-4261
5.
Beam Measurements and Machine Learning at the CERN Large Hadron Collider / Arpaia, Pasquale (Naples U.) ; Azzopardi, Gabriella (CERN) ; Blanc, Frédéric (LPHE, Lausanne) ; Buffat, Xavier (CERN) ; Coyle, Loic (CERN ; LPHE, Lausanne) ; Fol, Elena (CERN ; Frankfurt U.) ; Giordano, Francesco (Naples U. ; CERN) ; Giovannozzi, Massimo (CERN) ; Pieloni, Tatiana (LPHE, Lausanne) ; Prevete, Roberto (Naples U.) et al.
This paper presents a review of the recent Machine Learning activities carried out on beam measurements performed at the CERN Large Hadron Collider. This paper has been accepted for publication in IEEE Instrumentation and Measurement Magazine and in the published version no abstract is provided..
arXiv:2107.12641.- 2021-11-18 - 26 p. - Published in : IEEE Instrum. Measur. Mag. 24 (2021) 47-58 Fulltext: PDF;
6.
MD2193 – Impedance Measurements of the TCSPM Prototype Collimator / Amorim, David (Universite Grenoble-Alpes (FR)) ; Antipov, Sergey ; Arsenyev, Sergey ; Azzopardi, Gabriella (CERN) ; Biancacci, Nicolo (CERN) ; Bruce, Roderik (CERN) ; Carver, Lee Robert (University of Liverpool (GB)) ; Fitterer, Miriam ; Giordano, Francesco (Universita e sezione INFN di Napoli (IT)) ; Lamas Garcia, Inigo et al.
In view of the HL–LHC project, it is planned to exchange 9 out 11 of the LHC secondary collimators in IR7, made of graphite, with low–impedance ones. [...]
CERN-ACC-NOTE-2021-0021.
- 2021. - 17 p.
Full text
7.
Simulation Analysis and Machine Learning Based Detection of Beam-Induced Heating in Particle Accelerator at CERN / Giordano, Francesco
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 [...]
CERN-THESIS-2020-332 -

Full text
8.
MD3310 – Complex tune shift measurement at flat-top in the LHC / Amorim, David (Universite Grenoble-Alpes (FR)) ; Antipov, Sergey ; Biancacci, Nicolo (CERN) ; Buffat, Xavier (CERN) ; Giordano, Francesco (Universita e sezione INFN di Napoli (IT)) ; Hemelsoet, Georges-Henry (CERN) ; Levens, Tom (CERN) ; Metral, Elias (CERN) ; Mounet, Nicolas (CERN) ; Ribes Metidieri, Ariadna (University of Barcelona (ES)) et al.
This note summarises the MD3310 activity. [...]
CERN-ACC-NOTE-2020-0053.
- 2020. - 6 p.
Full text
9.
Beam-induced heat loads on the LHC arc beam screens with different beam and machine configurations: experiments and comparison against simulations / Iadarola, Giovanni (CERN) ; Skripka, Galina (Joint Institute for Nuclear Research (RU)) ; Albert, Markus (CERN) ; Amorim, David (Universite Grenoble-Alpes (FR)) ; Andujar, Oscar (CERN) ; Antipov, Sergey (CERN) ; Arduini, Gianluigi (CERN) ; Argyropoulos, Theodoros (CERN) ; Bradu, Benjamin (CERN) ; Bartosik, Hannes (CERN) et al.
Electron cloud (e-cloud) effects are among the main performance limitations for the operation of the Large Hadron Collider (LHC) with 25 ns bunch spacing. [...]
CERN-ACC-NOTE-2019-0057.
- 2019. - 50 p.
Full text
10.
Analysis on the thermal response to beam impedance heating of the post LS2 Proton Synchrotron beam dump / Teofili, Lorenzo (CERN ; INFN, Rome ; U. Rome La Sapienza (main)) ; Giordano, Francesco (CERN) ; Lamas, Inigo (CERN) ; Marongiu, Marco (U. Rome La Sapienza (main)) ; Migliorati, Mauro (U. Rome La Sapienza (main) ; INFN, Rome ; CERN) ; Nuiry, Francois-Xavier (CERN) ; Romagnoli, Giulia (CERN) ; Salvant, Benoit (CERN)
The High Luminosity Large Hadron Collider (HL-LHC) and the LHC-Injection Upgrade (LIU) projects at CERN are upgrading the whole CERN accelerators chain to increase beam brightness and intensity. In this scenario, some critical machine components have to be redesigned and rebuilt. [...]
CERN-ACC-2019-253.- 2019 - 8 p. - Published in : (2019) , pp. THPTS065
- Published in : J. Phys.: Conf. Ser. 1350 (2019) 012169 Preprint: PDF;
In : 10th International Particle Accelerator Conference, Melbourne, Australia, 19 - 24 May 2019, pp.THPTS065

CERN Document Server : Намерени са 14 записа   1 - 10следващ  отиване на запис:
Виж също: автори с подобни имена
156 Giordano, F
54 Giordano, F.
2 Giordano, Fabrizio
754 Giordano, Ferdinando
4 Giordano, Francesca
1 Giordano, Frank R
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