The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
@InProceedings{kuklev:napac2019-tuybb4,
author = {N. Kuklev and Y.K. Kim and A. Valishev},
title = {{Online Modelling and Optimization of Nonlinear Integrable Systems}},
booktitle = {Proc. NAPAC'19},
pages = {318--321},
paper = {TUYBB4},
language = {english},
keywords = {lattice, optics, experiment, octupole, network},
venue = {Lansing, MI, USA},
series = {North American Particle Accelerator Conference},
number = {4},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {10},
year = {2019},
issn = {2673-7000},
isbn = {978-3-95450-223-3},
doi = {10.18429/JACoW-NAPAC2019-TUYBB4},
url = {http://jacow.org/napac2019/papers/tuybb4.pdf},
note = {https://doi.org/10.18429/JACoW-NAPAC2019-TUYBB4},
abstract = {Nonlinear integrable optics was recently proposed as a design approach to increase the limits on beam brightness and intensity imposed by fast collective instabilities. To study these systems experimentally, a new research electron and proton storage ring, the Integrable Optics Test Accelerator, was constructed and recently commissioned at Fermilab. Beam-based diagnostics and online modelling of nonlinear systems presents unique challenges - in this paper, we report on our efforts to develop optimization methods suited for such lattices. We explore the effectiveness of neural networks as fast online surrogate estimators, and integrate them into a beam-based tuning algorithm. We also develop a method of knob dimensionality reduction and subsequent robust multivariate optimization for maximizing key performance metrics under complicated lattice optics constraints.},
}