Paper |
Title |
Page |
TUXA06 |
Loss of Transverse Landau Damping by Diffusion in High-Energy Hadron Colliders |
1286 |
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- S.V. Furuseth, X. Buffat
CERN, Geneva, Switzerland
- S.V. Furuseth
EPFL, Lausanne, Switzerland
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Circular hadron colliders rely on Landau damping to stabilize the beams. Landau damping depends strongly on the bunch distribution, which is often assumed to be Gaussian in the transverse planes. In this paper, we introduce and explain an instability mechanism observed in the LHC, where Landau damping is eventually lost due to a diffusion that modifies the transverse bunch distribution. The mechanism is caused by a wide-spectrum noise that excites the transverse motion of the beam, which consequently produces wakefields that drive a narrow-spectrum diffusion. It is shown that this diffusion efficiently lowers the stability diagram at the frequency of the least stable coherent mode, leading to a loss of Landau damping after a latency. A semi-analytical model agrees with measurements in dedicated latency experiments performed in the LHC. This instability mechanism explains the need for a stability margin in octupole current in the LHC, relative to the amount needed to stabilize a Gaussian beam. We detail the impact of this mechanism and possible mitigations for the LHC and HL-LHC.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2021-TUXA06
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About • |
paper received ※ 19 May 2021 paper accepted ※ 25 June 2021 issue date ※ 10 August 2021 |
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TUPAB256 |
Investigation of Damping Effects of the Crab Cavity Noise Induced Emittance Growth |
2054 |
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- N. Triantafyllou, L.R. Carver, A. Wolski
The University of Liverpool, Liverpool, United Kingdom
- F. Antoniou, H. Bartosik, P. Baudrenghien, X. Buffat, R. Calaga, Y. Papaphilippou, N. Triantafyllou
CERN, Meyrin, Switzerland
- L.R. Carver
ESRF, Grenoble, France
- T. Mastoridis
CalPoly, San Luis Obispo, California, USA
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Crab cavities will be installed at the two main interaction points (IP1 and IP5) of the High Luminosity LHC (HL-LHC) in order to minimize the geometric reduction of the luminosity due to the crossing angle. Two prototype crab cavities have been installed into the SPS machine and were tested with a proton beam in 2018, to study the expected emittance growth induced by RF noise. The measured emittance growth was found to be a factor 2-3 lower than predicted from the available analytical and computational models. Damping mechanisms from the transverse impedance, which is not included in the available theories, are studied as a possible explanation for the observed discrepancy.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB256
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About • |
paper received ※ 18 May 2021 paper accepted ※ 18 June 2021 issue date ※ 23 August 2021 |
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WEPAB026 |
Optics Measurements and Correction Plans for the HL-LHC |
2656 |
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- T.H.B. Persson, X. Buffat, F.S. Carlier, R. De Maria, J. Dilly, E. Fol, D. Gamba, H. Garcia Morales, A. García-Tabarés Valdivieso, M. Giovannozzi, M. Hofer, E.J. Høydalsvik, J. Keintzel, M. Le Garrec, E.H. Maclean, L. Malina, P.K. Skowroński, F. Soubelet, R. Tomás García, F.F. Van der Veken, A. Wegscheider, D.W. Wolf, L. van Riesen-Haupt
CERN, Meyrin, Switzerland
- J.M. Coello de Portugal
PSI, Villigen PSI, Switzerland
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The High Luminosity LHC (HL-LHC) will require stringent optics correction to operate safely and deliver the design luminosity to the experiments. In order to achieve this, several new methods for optics correction have been developed. In this article, we outline some of these methods and we describe the envisioned strategy of how to use them in order to reach the challenging requirements of the HL-LHC physics program.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB026
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About • |
paper received ※ 17 May 2021 paper accepted ※ 27 July 2021 issue date ※ 30 August 2021 |
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THPAB260 |
Detection and Classification of Collective Beam Behaviour in the LHC |
4318 |
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- L. Coyle, F. Blanc, T. Pieloni, M. Schenk
EPFL, Lausanne, Switzerland
- X. Buffat, M. Solfaroli Camillocci, J. Wenninger
CERN, Meyrin, Switzerland
- E. Krymova, G. Obozinski
SDSC, Lausanne, Switzerland
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Collective instabilities can lead to a severe deterioration of beam quality, in terms of reduced beam intensity and increased beam emittance, and consequently a reduction of the collider’s luminosity. It is therefore crucial for the operation of the CERN’s Large Hadron Collider to understand the conditions in which they appear in order to find appropriate mitigation measures. Using bunch-by-bunch and turn-by-turn beam amplitude data, courtesy of the transverse damper’s observation box (ObsBox), a novel machine learning based approach is developed to both detect and classify these instabilities. By training an autoencoder neural network on the ObsBox amplitude data and using the model’s reconstruction error, instabilities and other phenomena are separated from nominal beam behaviour. Additionally, the latent space encoding of this autoencoder offers a unique image like representation of the beam amplitude signal. Leveraging this latent space representation allows us to cluster the various types of anomalous signals.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2021-THPAB260
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About • |
paper received ※ 19 May 2021 paper accepted ※ 19 July 2021 issue date ※ 27 August 2021 |
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