Report/Contribution to a conference proceedings

PUBDB-2016-03705

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A Model of ATL Ground Motion for Storage Rings

Wolski, A. (Corresponding author) ; Walker, N. J.DESY*

2003
DESY Hamburg

Report No.: DESY-M-03-01W; PAC03-WPPE036

Abstract: Low emittance electron storage rings, such as those used in third generation light sources or linear collider damping rings, rely for their performance on highly stable alignment of the lattice components. Even if all vibration and environmental noise sources could be suppressed,diffusive ground motion will lead to orbit drift and emittance growth. Understanding such motion is important for predicting the performance of a planned accelerator and designing a correction system. A description (known as the ATL model) of ground motion over relatively long time scales has been developed and has become the standard for studies of the long straight beamlines in linear colliders. Here, we show how the model may be developed to include beamlines of any geometry. We apply the model to the NLC and TESLA damping rings, to compare their relative stability under different conditions.

Keyword(s): talk: Portland 2003/05/12 ; electron: storage ring ; background: oscillation ; perturbation: orbit ; beam emittance: enhancement ; electron positron: linear collider ; linear collider: proposed ; storage ring: beam damping

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Contributing Institute(s):

1. Bereichsleitung Beschleuniger / Bereich Beschleuniger (M)

Research Program(s):

1. 899 - ohne Topic (POF3-899) (POF3-899)

Experiment(s):

1. Facility (machine) HERA

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Proceedings/Report Castro, P. e. a. (Corresponding author)
Contributions to the 2003 Particle Accelerator Conference PAC2003
20032003 Particle Accelerator Conference, PAC2003, PortlandPortland, USA, 12 May 2003 - 16 May 20032003-05-122003-05-16 Hamburg : DESY (2003) [10.3204/PUBDB-2016-03006]2003     Files BibTeX | EndNote: XML, Text | RIS

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