CERN Accelerating science

CERN Document Server 找到 361 筆記錄  1 - 10下一個最後  跳到記錄: 檢索需時 0.76 秒. 
1.
MD 7224: LHC collimation quench test with protons / Hermes, Pascal Dominik (CERN) ; Abramov, Andrey (CERN) ; Bruce, Roderik (CERN) ; Calzolari, Daniele (Universita e INFN, Padova (IT)) ; D'Andrea, Marco (CERN) ; Giovannozzi, Massimo (CERN) ; Hernalsteens, Cedric (CERN) ; Lechner, Anton (CERN) ; Lindstrom, Bjorn Hans Filip (CERN) ; Mirarchi, Daniele (CERN) et al.
This note describes a collimation quench test performed at the CERN Large Hadron Collider. [...]
CERN-ACC-NOTE-2023-0024.
- 2023.
2.
Machine learning in accelerator physics: Applications at the CERN Large Hadron Collider / Van der Veken, Frederik (Malta U. ; CERN) ; Azzopardi, Gabriella (CERN) ; Blanc, Fred (Ecole Polytechnique, Lausanne) ; Coyle, Loic (Ecole Polytechnique, Lausanne ; CERN) ; Fol, Elena (CERN ; Frankfurt U.) ; Giovannozzi, Massimo (CERN) ; Pieloni, Tatiana (Ecole Polytechnique, Lausanne ; CERN) ; Redaelli, Stefano (CERN) ; Salvachua Ferrando, Belen Maria (CERN) ; Schenk, Michael (CERN ; Ecole Polytechnique, Lausanne) et al.
With the advent of Machine Learning a few decades ago, Science and Engineering have had new powerful tools at their disposal. Particularly in the domain of particle physics, Machine Learning techniques have become an essential part in the analysis of data from particle collisions. [...]
SISSA, 2020 - 11 p. - Published in : PoS AISIS2019 (2020) 044 Fulltext: PDF;
In : Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexico City, Mexico, 21 - 25 Oct 2019, pp.044
3.
Combined ramp and telescopic squeeze / Fartoukh, Stephane (CERN) ; Azzopardi, Gabriella (CERN) ; Bruce, Roderik (CERN) ; Buffat, Xavier (CERN) ; Coello De Portugal - Martinez Vazquez, Jaime Maria ; Fuster Martinez, Nuria ; Iadarola, Giovanni (CERN) ; Karastathis, Nikos ; Kostoglou, Sofia (CERN) ; Maclean, Ewen Hamish (CERN) et al.
This paper highlights the outcome of the 2018 round ATS MD program, which aimed at demonstrating the feasibility of a combined ramp and telescopic squeeze as a potential key ingredient to operate the machine in Run 3, with much brighter and more energetic beams with respect to Run 2. [...]
CERN-ACC-2020-0028.
- 2020. - 40 p.
Full text
4.
MD 4510 : Working point exploration for use in lifetime optimization by machine learning / Coyle, Loic Thomas Davies (EPFL - Ecole Polytechnique Federale Lausanne (CH)) ; Pieloni, Tatiana (EPFL - Ecole Polytechnique Federale Lausanne (CH)) ; Rivkin, Lenny (Paul Scherrer Institut (CH)) ; Salvachua Ferrando, Belen Maria (CERN)
Supervised learning based Machine Learning models are fundamentally reliant on the data on which they are trained. [...]
CERN-ACC-NOTE-2020-0001.
- 2019. - 16 p.
Full text
5.
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
6.
MD2202: compensating long-range beam-beam effectin the LHC using DC wires / Sterbini, Guido (CERN) ; Amorim, David (Universite Grenoble-Alpes (FR)) ; Arduini, Gianluigi (CERN) ; Bartosik, Hannes (CERN) ; Bruce, Roderik (CERN) ; Buffat, Xavier (CERN) ; Carver, Lee Robert (University of Liverpool (GB)) ; Cattenoz, Gregory (CERN) ; Effinger, Ewald (CERN) ; Fartoukh, Stephane (CERN) et al.
his note summarizes the program of the LHC Machine Development to assess the potential and limits of the long-range beam-beam compensators held in 2017 (MD2202) [...]
CERN-ACC-NOTE-2019-0052.
- 2019. - 52 p.
Full text
7.
Accelerators / Salvachua Ferrando, Belen Maria (speaker) (CERN)
2019 - 4023. Hadron Collider Physics; 2019 CERN-Fermilab HCP Summer School External links: Talk details; Event details In : 2019 CERN-Fermilab HCP Summer School
8.
Accelerators / Salvachua Ferrando, Belen Maria (speaker) (CERN)
2019 - 3822. Hadron Collider Physics; 2019 CERN-Fermilab HCP Summer School External links: Talk details; Event details In : 2019 CERN-Fermilab HCP Summer School
9.
Crystal Collimation Tests with Pb Ion Beams / D'Andrea, Marco (Universita e INFN, Padova (IT)) ; Mirarchi, Daniele (University of Manchester (GB)) ; Redaelli, Stefano (CERN) ; Fomin, Alex (NSC Kharkiv Institute of Physics and Technology (UA)) ; Belli, Eleonora (CERN) ; Salvachua Ferrando, Belen Maria (CERN) ; Nevay, Laurence James (University of London (GB)) ; Rossi, Roberto (Sapienza Universita e INFN, Roma I (IT)) ; Scandale, Walter (CERN) ; Montesano, Simone (Universita e INFN, Bologna (IT)) et al.
During MD4168, performed on November 27th 2018, silicon crystals for a crystal-assisted collimation system were tested. [...]
CERN-ACC-NOTE-2019-0024.
- 2019.
Full text
10.
Operational Aspects of Crystal Collimation with Proton Beams / D'Andrea, Marco (Universita e INFN, Padova (IT)) ; Mirarchi, Daniele (University of Manchester (GB)) ; Redaelli, Stefano (CERN) ; Salvachua Ferrando, Belen Maria (CERN) ; Nevay, Laurence James (University of London (GB)) ; Rossi, Roberto (Sapienza Universita e INFN, Roma I (IT)) ; Scandale, Walter (CERN) ; Montesano, Simone (Universita e INFN, Bologna (IT)) ; Galluccio, Francesca (Universita e sezione INFN di Napoli (IT)) ; Serrano Galvez, Pablo (Universidad de Oviedo (ES)) et al.
During MD4167, performed on September 12th 2018, silicon crystals for a crystal-assisted collimation system were tested, with particular focus on operational aspects such as evaluation of cleaning performances and deployment during dynamical phases of the machine. [...]
CERN-ACC-NOTE-2019-0023.
- 2019.
Full text

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