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@inproceedings{narayanan:ipac2021-thpab243,
author = {A. Narayanan and K.J. Hazelwood and M.A. Ibrahim and H. Liu and S. Memik and V.P. Nagaslaev and D.J. Nicklaus and P.S. Prieto and B.A. Schupbach and K. Seiya and R. Shi and M. Thieme and R.M. Thurman-Keup and N.V. Tran},
% author = {A. Narayanan and K.J. Hazelwood and M.A. Ibrahim and H. Liu and S. Memik and V.P. Nagaslaev and others},
% author = {A. Narayanan and others},
title = {{Optimizing Mu2e Spill Regulation System Algorithms}},
booktitle = {Proc. IPAC'21},
pages = {4281--4284},
eid = {THPAB243},
language = {english},
keywords = {extraction, controls, simulation, network, resonance},
venue = {Campinas, SP, Brazil},
series = {International Particle Accelerator Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2021},
issn = {2673-5490},
isbn = {978-3-95450-214-1},
doi = {10.18429/JACoW-IPAC2021-THPAB243},
url = {https://jacow.org/ipac2021/papers/thpab243.pdf},
note = {https://doi.org/10.18429/JACoW-IPAC2021-THPAB243},
abstract = {{A slow extraction system is being developed for the Fermilab’s Delivery Ring to deliver protons to the Mu2e experiment. During the extraction, the beam on target experiences small intensity variations owing to many factors. Various adaptive learning algorithms will be employed for beam regulation to achieve the required spill quality. We discuss here preliminary results of the slow and fast regulation algorithms validation through the computer simulations before their implementation in the FPGA. Particle tracking with sextupole resonance was used to determine the fine shape of the spill profile. Fast semi-analytical simulation schemes and Machine Learning models were used to optimize the fast regulation loop.}},
}