IPAC2012 - List of Authors (Tan, Y.E.)

Paper	Title	Page
MOPPR001	Resonant Spin Depolarisation Measurements at the SPEAR3 Electron Storage Ring	771
	K.P. Wootton, R.P. Rassool The University of Melbourne, Melbourne, Australia M.J. Boland, Y.E. Tan ASCo, Clayton, Victoria, Australia W.J. Corbett, M.H. Donald, X. Huang, R.R. Ortiz, J.A. Safranek, K. Tian SLAC, Menlo Park, California, USA
	Accurate electron beam energy measurements are valuable for precision lattice modelling of high-brightness light sources. At SPEAR3 the beam energy was measured using the resonant spin depolarisation method with striplines to resonantly excite the spin tune and a sensitive NaI scintillator beam loss monitor was used to detect resulting changes in Touschek lifetime. Using the combined apparatus an electron beam energy of 2.997251(7) GeV was measured, giving a relative uncertainty better than 3x10^-6. The measured momentum compaction factor was found to be in close agreement with the numerical model value using rectangular defocussing gradient dipoles with measured magnetic field map profiles. In this paper we outline the chosen experimental technique, with emphasis on its applicability to electron storage rings in general.

WEPPP057	Orbit Correction Studies using Neural Networks	2837
	E. Meier, G. LeBlanc, Y.E. Tan ASCo, Clayton, Victoria, Australia
	This paper reports the use of Neural Networks for orbit correction at the Australian Synchrotron Storage Ring. The proposed system uses two Neural Networks in an actor-critic scheme to model a long term cost function and compute appropriate corrections. The system is entirely based on the history of the beam position and the actuators, the corrector magnets, in the storage ring. This makes the system auto-tuneable, which has the advantage of avoiding the use of a response matrix. As a generic and robust orbit correction program it can be used during commissioning and in slow orbit feedback. In this study, we present positive initial results of the simulations of the storage ring in Matlab. We will also discuss the possibility of reconstructing the response matrix from the information stored in the neural network for offline orbit response matrix analysis.

Paper

Title

Page

Resonant Spin Depolarisation Measurements at the SPEAR3 Electron Storage Ring

771

K.P. Wootton, R.P. Rassool
The University of Melbourne, Melbourne, Australia
M.J. Boland, Y.E. Tan
ASCo, Clayton, Victoria, Australia
W.J. Corbett, M.H. Donald, X. Huang, R.R. Ortiz, J.A. Safranek, K. Tian
SLAC, Menlo Park, California, USA

Accurate electron beam energy measurements are valuable for precision lattice modelling of high-brightness light sources. At SPEAR3 the beam energy was measured using the resonant spin depolarisation method with striplines to resonantly excite the spin tune and a sensitive NaI scintillator beam loss monitor was used to detect resulting changes in Touschek lifetime. Using the combined apparatus an electron beam energy of 2.997251(7) GeV was measured, giving a relative uncertainty better than 3x10^-6. The measured momentum compaction factor was found to be in close agreement with the numerical model value using rectangular defocussing gradient dipoles with measured magnetic field map profiles. In this paper we outline the chosen experimental technique, with emphasis on its applicability to electron storage rings in general.

WEPPP057

Orbit Correction Studies using Neural Networks

2837

E. Meier, G. LeBlanc, Y.E. Tan
ASCo, Clayton, Victoria, Australia

This paper reports the use of Neural Networks for orbit correction at the Australian Synchrotron Storage Ring. The proposed system uses two Neural Networks in an actor-critic scheme to model a long term cost function and compute appropriate corrections. The system is entirely based on the history of the beam position and the actuators, the corrector magnets, in the storage ring. This makes the system auto-tuneable, which has the advantage of avoiding the use of a response matrix. As a generic and robust orbit correction program it can be used during commissioning and in slow orbit feedback. In this study, we present positive initial results of the simulations of the storage ring in Matlab. We will also discuss the possibility of reconstructing the response matrix from the information stored in the neural network for offline orbit response matrix analysis.