CERN Accelerating science

SPS and CNGS

Последние добавления:
2022-10-05
18:46
Meeting on slow . ejection system for south area / Reich, K H
MPS-Int-Mi-63-2. - 1963. - 4 p.


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2022-10-05
18:42
East Area Installation Meeting No. 37 / Reich, K H
MPS-Int-Mi-62-14. - 1962. - 2 p.


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2022-10-05
18:26
Memo on the accuracy to be obtained from the surveying system for lining-up the magnet units / Adams, J B
CERN-PS-JBA-MGNH-21. - 1954. - 3 p.


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2022-10-05
18:14
Upgrading the CERN PS booster for SPS multi-pulse filling and antiproton production / Schindl, K
CERN-PS-BR-81-4. - 1981. - 4 p.


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2022-10-05
18:03
Technical specification of the capacitor discharge power supplies for septum magnet of the transfer line PSB-PS*
PS-PO-Spec-94-08. - 1994. - 48 p.


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2022-10-05
18:02
AAC - LEAR transfer efficiencies from 24/04/95 to 25/06/95 / Sanchez Alvarez, Jose-Luis
PS-OP-Note-95-59-Tech. - 1995. - 12 p.


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2022-09-29
06:02
Laser Engineered Surface Structures for Custom Design of Secondary Electron Yield / Bajek, David (U. Dundee) ; Wackerow, Stefan (U. Dundee) ; Sitko, Monika (CERN) ; Calatroni, Sergio (CERN) ; Girolama, Beniamino Di (CERN) ; Abdolvand, Amin (U. Dundee)
Secondary Electron Yield (SEY) [3, 5] occurs in a system when a primary electron impinges a material's surface and induces the emission of a 1 st and potentially 2 nd generation secondary electrons (see Figure 1, Left). The total number of secondary electrons per primary electron is the SEY. [...]
2019 - 1 p. - Published in : 10.1109/CLEOE-EQEC.2019.8873330
In : 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference, Munich, Germany, 23 - 27 Jun 2019

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2022-09-27
04:32
Automatic setup of 18 MeV electron beamline using machine learning / Velotti, Francesco Maria (CERN) ; Goddard, Brennan (CERN) ; Kain, Verena (CERN) ; Ramjiawan, Rebecca (CERN) ; Della Porta, Giovanni Zevi (CERN) ; Hirlaender, Simon (U. Salzburg (main))
To improve the performance-critical stability and brightness of the electron bunch at injection into the proton-driven plasma wakefield at the AWAKE CERN experiment, automation approaches based on unsupervised Machine Learning (ML) were developed and deployed. [...]
arXiv:2209.03183.
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2022-09-24
09:42
A probabilistic model of SPS slow extraction: s simplified approach for efficient spill quality simulations / Mignacco, Chiara
Resonant slow extraction is used at the Super Proton Synchrotron (SPS) for the extraction of a beam of particles by exciting a 1/3rd integer resonance. [...]
CERN-STUDENTS-Note-2022-171.
- 2022.
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2022-09-20
17:31
Linac-PSB injection line. Steering / Sherwood, TR
CERN-MPS-LIN-Technical-Note-72-14 MPS-LIN-Technical-Note-72-14. - 1972. - 2 p.


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