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2020-01-17
14:37
LHC MD4044: Asynchronous Beam Dump Test with Bunched Beam at Flat Top / Wiesner, Christoph (CERN) ; Apollonio, Andrea (CERN) ; Bartmann, Wolfgang (CERN) ; Bracco, Chiara (CERN) ; Carlier, Etienne (CERN) ; Frankl, Matthias Immanuel ; Fraser, Matthew Alexander (CERN) ; Hessler, Christoph ; Lechner, Anton (CERN) ; Magnin, Nicolas (CERN) et al.
This note summarises the LHC Machine Development (MD) 4044, which studied the beam-loss and quench behaviour during asynchronous beam dumps at injection and at top energy using bunched beam in the abort gap. [...]
CERN-ACC-NOTE-2020-0009. - 2020. - 15 p.
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2020-01-17
14:34
LHC MD2930: Asynchronous Beam Dump Test with Bunched Beam / Wiesner, Christoph (CERN) ; Bartmann, Wolfgang (CERN) ; Bracco, Chiara (CERN) ; Carlier, Etienne (CERN) ; Fraser, Matthew Alexander (CERN) ; Hessler, Christoph ; Lechner, Anton (CERN) ; Magnin, Nicolas (CERN) ; Renner, Elisabeth (Vienna University of Technology (AT)) ; Wollmann, Daniel (CERN) et al.
This note summarises the results of LHC Machine Development (MD) 2930, which studied the beam-loss behaviour during asynchronous beam dumps at 450 GeV and at 6.5 TeV using bunched beam in the abort gap. [...]
CERN-ACC-NOTE-2020-0008. - 2020. - 10 p.
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2020-01-16
17:27
An alternative method to measure amplitude dependence of the closest tune approach / Maclean, Ewen Hamish (University of Malta (MT)) ; Carlier, Felix Simon (Technische Universiteit Delft (NL)) ; Persson, Tobias Hakan Bjorn (CERN) ; Tomas Garcia, Rogelio (CERN) ; Fuchsberger, Kajetan
In the linear regime, a minimum closest approach of the fractional horizontal and vertical tunes exists, due to linear coupling between the transverse planes. [...]
CERN-ACC-NOTE-2020-0007. - 2020.

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2020-01-16
11:13
ATF2 Ultra-low βy∗ study report for March 2019 run / Cilento, Vera (Université Paris-Saclay (FR)) ; Pastushenko, Andrii (Université Paris-Saclay (FR)) ; Yang, Renjun (CERN) ; Tomas Garcia, Rogelio (CERN) ; Faus-Golfe, Angeles (Centre National de la Recherche Scientifique (FR)) ; Terunuma, Nobuhiro ; Okugi, Toshiyuki (KEK) ; Kubo, Kiyoshi
One of the main requests for future linear colliders is to achieve a nanometer vertical beam size at the Interaction Point (IP). [...]
CERN-ACC-NOTE-2020-0006. - 2020. - 15 p.
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2020-01-15
16:59
Machine learning for early fault detection in accelerator systems / Apollonio, Andrea (CERN) ; Cartier-Michaud, Thomas (CERN) ; Felsberger, Lukas (Ludwig Maximilians Universitat (DE)) ; Mueller, Andreas (University of Applied Sciences Darmstadt (DE)) ; Todd, Benjamin (CERN)
With the development of systems based on a combination of mechanics, electronics and – more and more - software components, increasing system complexity is a de facto trend in the engineering world. [...]
CERN-ACC-NOTE-2020-0005. - 2020. - 22 p.
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2020-01-15
16:47
Availability projections for the CERN injector complex following the LHC Injectors Upgrade / Apollonio, Andrea (CERN)
One of the main goals of the CERN Long-Shutdown 2 (LS2) is to improve the performance of the injector complex, both regarding beam quality and availability, in the framework of the LHC Injectors Upgrade (LIU) project [1]. [...]
CERN-ACC-NOTE-2020-0004. - 2020.
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2020-01-15
16:37
LHC MD 3205: Beam Screen Shielding from QH Discharge at 70 K / Wiesner, Christoph (CERN) ; Bortot, Lorenzo (Technische Universitaet Darmstadt (DE)) ; Lindstrom, Bjorn Hans Filip (Uppsala University (SE)) ; Mentink, Matthias (CERN) ; Ravaioli, Emmanuele (CERN) ; Richtmann, Lea Caterina (Universitaet Hannover (DE)) ; Valette, Matthieu ; Wollmann, Daniel (CERN)
This note summarises the results of LHC Machine Development (MD) 3205, performed on October 31st 2018. [...]
CERN-ACC-NOTE-2020-0003. - 2020.
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2020-01-13
11:37
The Large Hadron-Electron Collider at the HL-LHC / Bruning, Oliver (CERN) ; Klein, Max (University of Liverpool (GB))
The Large Hadron electron Collider, LHeC, is the means to move deep inelastic physics following HERA to the energy frontier of particle physics as it is being exploited by the HL-LHC. [...]
CERN-ACC-NOTE-2020-0002. - 2020. - 318 p.
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2020-01-07
15:49
MD 4510 : Working point exploration for use in lifetime optimization by machine learning / Coyle, Loic Thomas Davies (EPFL - Ecole Polytechnique Federale Lausanne (CH))
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.
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2019-12-20
15:38
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.
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特辑:
LHC MD Notes (141)