1. What are the contributions in "An algorithm for online optimization of accelerators" ?
Huang et al. this paper proposed a robust conjugate direction search ( RCDS ) algorithm for online optimization of accelerator performance.
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An algorithm for online optimization of accelerators
TL;DR: This method combines the conjugate direction set approach of Powell's method with a robust line optimizer which considers the random noise in bracketing the minimum and uses parabolic fit of data points that uniformly sample the bracketed zone.
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Abstract: A general algorithm is developed for online optimization of accelerator performance, i.e., online tuning, using the performance measure as the objective function. This method, named robust conjugate direction search (RCDS), combines the conjugate direction set approach of Powell's method with a robust line optimizer which considers the random noise in bracketing the minimum and uses parabolic fit of data points that uniformly sample the bracketed zone. It is much more robust against noise than traditional algorithms and is therefore suitable for online application. Simulation and experimental studies have been carried out to demonstrate the strength of the new algorithm.
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Figures
Figure 3: The objective function (left) and the coupling ratio (right) of the best solution to-date during optimization for the NSGA-II method. 
Figure 2: The objective function (loss rate with reversed sign) of the best solution to-date during optimization for the simplex method (left) and Powell’s method (right) 
Figure 7: The history of the best injection efficiency during optimization for the various algorithms. 
Figure 6: The horizontal injection optics match at the septum for the initial transport line optics (left) and the optics found by RCDS (right). 
Figure 5: The coupling ratio of the best solution to-date during optimization for several methods, all with loss rate noise for a 6-second interval. 
Figure 1: Illustration of bracketing and quadratic fitting of the line optimizer.
Citations
Commissioning and first-year operational results of the MAX IV 3 GeV ring
Pedro Fernandes Tavares,Eshraq Al-Dmour,Åke Andersson,Francis Cullinan,Brian Norsk Jensen,David Olsson,David Olsson,Magnus Sjöström,Hamed Tarawneh,Sara Thorin,Alexey Vorozhtsov +10 more
TL;DR: Commissioning and first-year operational results of the MAX IV 3 GeV electron storage ring, the first synchrotron light source to make use of the multibend-achromat lattice to achieve ultralow emittance and high brightness, are presented.
Nonlinear dynamics optimization with particle swarm and genetic algorithms for SPEAR3 emittance upgrade
Xiaobiao Huang,James Safranek +1 more
TL;DR: The result shows that the particle swarm algorithm converges significantly faster to similar or better solutions than the genetic algorithm and it does not require seeding of good solutions in the initial population, which may make it more suitable for many accelerator optimization applications.
•Posted Content
Online tuning and light source control using a physics-informed Gaussian process Adi.
Adi Hanuka,Joseph Duris,Jane Shtalenkova,Dylan Kennedy,Auralee Edelen,Daniel Ratner,Xiaobiao Huang +6 more
TL;DR: This paper introduces a new physics-informed optimization algorithm based on Gaussian process regression that outperforms Gaussian Process trained on data as well as the standard approach routinely used for operation, in terms of convergence speed and optimal point.
20
Halo removal experiments with hollow electron lens in the BNL Relativistic Heavy Ion Collider
Xiaofeng Gu,Wolfram Fischer,Zeynep Altinbas,A. Drees,J. Hock,Robert Hulsart,Congcong Liu,A. Marusic,Toby Miller,Michiko Minty,Guillaume Robert-Demolaize,Y. Tan,Peter Thieberger,H. Garcia Morales,Daniele Mirarchi,Stefano Redaelli,Alexander Pikin,Giulio Stancari +17 more
TL;DR: In this paper, a hollow electron beam has been proposed as an active control tool to remove the beam halo from high-energy, high-current hadron or ion machines (such as the High-Luminosity Large Hadron Collider).
17
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