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| URL | https://doi.org/10.18429/JACoW-IPAC2023-THPL009 |
|---|---|
| Title | AGS booster beam-based main quadrupole transfer function measurements |
| Authors |
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| Abstract | Physics models, particularly for online operations, such as for our MAD-X or Bmad models, depend on a good understanding of the magnet characteristics. While we often measure the magnets or some subset of the magnets, those measurements are only meant to verify that the magnets meet specifications before being installed. We often have magnets that are not precisely understood. As a result, we end up adjusting the coefficients in our models to match beam-based measurements with little or no theoretical basis. In this work, we present a new method for deriving these coefficients using orbit response matrix (ORM) methods. This new approach utilizes a neural network (NN) surrogate model to establish the mapping between ORM measurements and quadrupole kicks. The NN model is trained to identify quadrupole kick as a source of error by observing the difference between measured ORM and model ORM with no quadrupole kick. With actual kick values from the NN model and power supply current values from the control system, we can calculate the magnet transfer function coefficients using a polynomial fit. We will present results from preliminary beam studies in the AGS Booster. |
| Paper | download: THPL009.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | 14th International Particle Accelerator Conference |
| Series | |
| Location | Venice, Italy |
| Date | 07-12 May 2023 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Ralph Assmann - Deutsches Elektronen-Synchrotron DESY Peter McIntosh - Science and Technology Facilities Council (STFC/DL/ASTeC) Giovanni Bisoffi - Istituto Nazionale di Fisica Nucleare (INFN/LNL) Alessandro Fabris - Elettra-Sincrotrone Trieste S.C.p.A. Ivan Andrian - Elettra-Sincrotrone Trieste S.C.p.A. Giulia Vinicola - Istituto Nazionale di Fisica Nucleare (INFN/LNF) |
| Online ISBN | 978-3-95450-231-8 |
| Online ISSN | 2673-5490 |
| Received | 02 May 2023 |
| Revised | 04 May 2023 |
| Accepted | 15 June 2023 |
| Issued | 26 September 2023 |
| DOI | 10.18429/JACoW-IPAC2023-THPL009 |
| Pages | 4436-4439 |
| Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |