CERN Accelerating science

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11.
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
12.
Combined searches for dark matter in dwarf spheroidal galaxies observed with the MAGIC telescopes, including new data from Coma Berenices and Draco / MAGIC Collaboration
Milky Way dwarf spheroidal galaxies (dSphs) are among the best candidates to search for signals of dark matter annihilation with Imaging Atmospheric Cherenkov Telescopes, given their high mass-to-light ratios and the fact that they are free of astrophysical gamma-ray emitting sources. Since 2011, MAGIC has performed a multi-year observation program in search for Weakly Interacting Massive Particles (WIMPs) in dSphs. [...]
arXiv:2111.15009.- 2022-03 - 17 p. - Published in : Phys. Dark Univ. 35 (2022) 100912 Fulltext: PDF;
13.
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;
14.
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
15.
Electromagnetic characterization of the crystal primary collimators for the HL-LHC / Quartullo, D (Rome U. ; INFN, Rome) ; Arpaia, P (Naples U.) ; Biancacci, N (CERN) ; Giordano, F (CERN ; Naples U.) ; Lamas Garcia, I (CERN) ; Mostacci, A (Rome U. ; INFN, Rome) ; Palumbo, L (Rome U.) ; Redaelli, S (CERN) ; Salvant, B (CERN) ; Teofili, L (CERN) et al.
The crystal-based primary collimators installed in the Large Hadron Collider (LHC) at CERN use the channelling process in bent crystals to steer halo particles efficiently onto downstream collimators. This scheme, called crystal collimation, is also considered for applications of fixed-target implementations in the context of the Physics Beyond Collider at the LHC. [...]
2021 - 18 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 1010 (2021) 165465
16.
Characterization of plastic scintillators equipped with SiPM for the next generation of satellites for the study of cosmic radiation / Serini, D (Bari U. ; INFN, Bari) ; De La Torre Luque, P (Bari U. ; INFN, Bari) ; Di Venere, L (INFN, Bari) ; Fusco, P (Bari U. ; INFN, Bari) ; Gargano, F (INFN, Bari) ; Giordano, F (Bari U. ; INFN, Bari) ; Loparco, F (Bari U. ; INFN, Bari) ; Loporchio, S (Bari U. ; INFN, Bari) ; Mazziotta, M N (INFN, Bari)
The next generation of satellite experiments for the studies of cosmic radiation will be equipped with plastic scintillators read-out by Silicon Photomultipliers (SiPMs), to be used as anti-coincidence detectors for gamma rays or for the identification of charged nuclei. For these applications, a high detection efficiency is required in order to ensure a high background rejection for the gamma-ray identification. [...]
2020 - 2 p. - Published in : Nuovo Cimento C 43 (2020) 100 Fulltext: PDF;
In : 18th Incontri di Fisica delle Alte Energie, Naples, Italy, 8 - 10 April 2019, pp.100
17.
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 -

18.
Wake-function, impedance, and energy loss determination for two countermoving particle beams / Teofili, L (U. Rome La Sapienza (main) ; INFN, Rome ; CERN) ; Arpaia, P (Naples U. ; CERN) ; Giordano, F (Naples U. ; CERN) ; Lamas, I (CERN) ; Rumolo, G (CERN) ; Salvant, B (CERN) ; Zannini, C (CERN) ; Migliorati, M (U. Rome La Sapienza (main) ; INFN, Rome)
This paper deals with the determination of the wake-function, impedance and energy loss due to surrounding accelerator components of two countermoving beams, i.e., two beams moving in opposite directions. Differently from the classical case, the distance between source and test charges cannot be considered constant. [...]
2021 - 19 p. - Published in : Phys. Rev. Accel. Beams 24 (2021) 041001 Fulltext from Publisher: PDF;
19.
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
20.
CERN Yellow Report Front Cover High-Luminosity Large Hadron Collider (HL-LHC): Technical design report / Aberle, O. ; Béjar Alonso, I (ed.) ; Brüning, O (ed.) ; Fessia, P (ed.) ; Rossi, L (ed.) ; Tavian, L (ed.) ; Zerlauth, M (ed.)
The Large Hadron Collider (LHC) is one of the largest scientific instruments ever built [...]
CERN-2020-010. - Geneva : CERN, 2020 - 390. (CERN Yellow Reports: Monographs ; 10/2020)


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