CERN Accelerating science

Accelerator Physics

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2020-07-03
16:53
HL-LHC operational scenarios for Pb-Pb and p-Pb operation / Bruce, Roderik (CERN) ; Argyropoulos, Theodoros (CERN) ; Bartosik, Hannes (CERN) ; De Maria, Riccardo (CERN) ; Fuster Martinez, Nuria (CERN) ; Jebramcik, Marc Andre (Goethe University Frankfurt (DE)) ; Jowett, John (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) ; Mounet, Nicolas (CERN) ; Redaelli, Stefano (CERN) ; Rumolo, Giovanni (CERN) et al.
This report describes the running scenario for operation with Pb-Pb and p-Pb collisions in the HL-LHC. [...]
CERN-ACC-2020-0011.
- 2020. - 46 p.
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2020-07-01
12:55
MD 2935: 16L2 solenoid tests / Salvant, Benoit (CERN) ; Albert, Markus (CERN) ; Arduini, Gianluigi (CERN) ; Buffat, Xavier (CERN) ; Collier, Paul (CERN) ; Gorzawski, Arkadiusz (University of Malta (MT)) ; Grob, Laura Katharina ; Iadarola, Giovanni (CERN) ; Lechner, Anton (CERN) ; Levens, Tom (CERN) et al.
This MD allowed confirming that the solenoid installed in 16L2 during Technical Stop 2 (TS22017) could be held responsible for the performance improvement observed after TS2. [...]
CERN-ACC-NOTE-2020-0038.
- 2020. - 8 p.

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2020-06-12
17:02
MD3308 – Growth rate versus chromaticity measurement at injection / Amorim, David (Universite Grenoble-Alpes (FR)) ; Antipov, Sergey ; Buffat, Xavier (CERN) ; Carideo, Emanuela (Sapienza Universita e INFN, Roma I (IT)) ; Dascalu, Titus-Stefan (University of Oxford (GB)) ; Metral, Elias (CERN) ; Mounet, Nicolas (CERN) ; Oeftiger, Adrian (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) ; Salvant, Benoit (CERN) ; Valuch, Daniel (CERN)
This report summarises the results of MD3308 on the measurement of the instability rise time as a function of chromaticity in the LHC. [...]
CERN-ACC-NOTE-2020-0034.
- 2020. - 8 p.
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2020-06-10
14:54
Book cover Synchrotron light sources and free-electron lasers : accelerator physics, instrumentation and science applications . - 2nd ed. / Jaeschke, Eberhard (ed.) ; Khan, Shaukat (ed.) ; Schneider, Jochen (ed.) ; Hastings, Jerome (ed.)
This handbook presents the development of synchrotron light sources and free-electron lasers as well as new scientific applications [...]
Cham : Springer, 2020.

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2020-05-28
16:03
I/Q Model of the SPS 200 MHz Travelling Wave Cavity and Feedforward Design / Baudrenghien, Philippe (CERN) ; Mastoridis, Themistoklis (California Polytechnic State Univ. (US))
As part of the LHC injector upgrade project (LIU), that calls for the doubling of the bunch intensity injected from the SPS into the LHC, the SPS Low Level RF (LLRF) is fully upgraded during the LHC Long-Shutdown 2 (LS2) [...]
CERN-ACC-NOTE-2020-0032.
- 2020. - 22 p.
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2020-05-13
07:06
Toward inertial sensing with a 2$^{3}$S positronium beam / Mariazzi, Sebastiano (Trento U. ; TIFPA-INFN, Trento) ; Caravita, Ruggero (TIFPA-INFN, Trento ; CERN) ; Doser, Michael (CERN) ; Nebbia, Giancarlo (INFN, Padua) ; Brusa, Roberto S (TIFPA-INFN, Trento ; Trento U.)
In this work, we discuss the possibility of inertial sensing with positronium in the 2$^{3}$S metastable state for the measurement of optical dipole, relativistic and gravitational forces on a purely leptonic matter-antimatter system. Starting from the characteristics of an available 2$^{3}$S beam, we estimate the time necessary to measure accelerations ranging from ~10$^{5}$ m/s$^{2}$ to 9.1 m/s$^{2}$ with two different inertial sensitive devices: a classical moiré deflectometer and a Mach–Zehnder interferometer. [...]
2020 - 9 p. - Published in : Eur. Phys. J. D 74 (2020) 79

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2020-05-13
07:06
Probing LHC halo dynamics using collimator loss rates at 6.5 TeV / Gorzawski, A (CERN ; Malta U.) ; Appleby, R B (Manchester U. ; Cockcroft Inst. Accel. Sci. Tech.) ; Giovannozzi, M (CERN) ; Mereghetti, A (CERN) ; Mirarchi, D (CERN) ; Redaelli, S (CERN) ; Salvachua, B (CERN) ; Stancari, G (Fermilab) ; Valentino, G (Malta U.) ; Wagner, J F (CERN ; CERN ; Frankfurt U.)
Halo diffusion measurements at the CERN Large Hadron Collider (LHC) were conducted with beams for physics at 6.5 TeV by means of collimator scans, carried out between 2016 and 2018. From the time evolution of the beam losses recorded during a collimator scan, in which collimator jaws are moved in steps toward the beam core cutting beam tails, one can extract information on the halo diffusion and its population as a function of the transverse amplitude. [...]
2020 - 14 p. - Published in : Phys. Rev. Accel. Beams 23 (2020) 044802 Fulltext from Publisher: PDF;

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2020-05-13
07:06
Generation of incoherent Cherenkov diffraction radiation in synchrotrons / Kieffer, R (CERN) ; Bartnik, L (Cornell U.) ; Bergamaschi, M (CERN) ; Bleko, V V (Dubna, JINR) ; Billing, M (Cornell U.) ; Bobb, L (Diamond Light Source) ; Conway, J (Cornell U.) ; Forster, M (Cornell U.) ; Karataev, P (Royal Holloway, U. of London) ; Konkov, A S (Dubna, JINR) et al.
Incoherent Cherenkov diffraction radiation was recently produced in the Cornell electron storage ring using counterpropagating beams (electrons and positrons) passing in the close vicinity of a dielectric made of fused silica. We present in this paper a collection of the experimental investigations that were performed on Cherenkov diffraction radiation in both the infrared and the visible range. [...]
2020 - 9 p. - Published in : Phys. Rev. Accel. Beams 23 (2020) 042803 Fulltext from Publisher: PDF;

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2020-05-13
07:06
Optics-measurement-based beam position monitor calibrations in the LHC insertion regions / García-Tabarés Valdivieso, A (CERN) ; Tomás, R (CERN)
Accurate measurements of optics functions, β, α, D, are essential for proper operation of a synchrotron both for machine protection and for performance. β functions can be obtained from different observables: phase and amplitude of the transverse betatron oscillations and change of the tune by modulating the current of quadrupoles (K-modulation). [...]
2020 - 15 p. - Published in : Phys. Rev. Accel. Beams 23 (2020) 042801 Fulltext from Publisher: PDF;

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2020-05-03
06:13
Application of Machine Learning to Beam Diagnostics / Fol, Elena (CERN) ; Coello de Portugal, Jaime Maria (CERN) ; Tomás, Rogelio (CERN)
Machine learning (ML) techniques are widely used in science and industry as a powerful tool for data analysis and automation. Currently, in accelerator physics ML is represented as a young research field, demonstrating mixed results in the latest attempts. [...]
JACoW, 2019 - 8 p. - Published in : 10.18429/JACoW-IBIC2018-TUOA02 Published fulltext: PDF;
In : 7th International Beam Instrumentation Conference, Shanghai, China, 9 - 13 Sep, 2018, pp.TUOA02

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