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RIS citation export for THPAB243: Optimizing Mu2e Spill Regulation System Algorithms

TY  - CONF
AU  - Narayanan, A.
AU  - Hazelwood, K.J.
AU  - Ibrahim, M.A.
AU  - Liu, H.
AU  - Memik, S.
AU  - Nagaslaev, V.P.
AU  - Nicklaus, D.J.
AU  - Prieto, P.S.
AU  - Schupbach, B.A.
AU  - Seiya, K.
AU  - Shi, R.
AU  - Thieme, M.
AU  - Thurman-Keup, R.M.
AU  - Tran, N.V.
ED  - Liu, Lin
ED  - Byrd, John M.
ED  - Neuenschwander, Regis T.
ED  - Picoreti, Renan
ED  - Schaa, Volker R. W.
TI  - Optimizing Mu2e Spill Regulation System Algorithms
J2  - Proc. of IPAC2021, Campinas, SP, Brazil, 24-28 May 2021
CY  - Campinas, SP, Brazil
T2  - International Particle Accelerator Conference
T3  - 12
LA  - english
AB  - 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.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 4281
EP  - 4284
KW  - extraction
KW  - controls
KW  - simulation
KW  - network
KW  - resonance
DA  - 2021/08
PY  - 2021
SN  - 2673-5490
SN  - 978-3-95450-214-1
DO  - doi:10.18429/JACoW-IPAC2021-THPAB243
UR  - https://jacow.org/ipac2021/papers/thpab243.pdf
ER  -