ICALEPCS2023 - List of Authors (Le Meillour, A.)

Paper	Title	Page
MO3AO01	Optimisation of the Touschek Lifetime in Synchrotron Light Sources Using Badger	108
	S.M. Liuzzo, N. Carmignani, L.R. Carver, L. Hoummi, D. Lacoste, A. Le Meillour, T.P. Perron, S.M. White ESRF, Grenoble, France I.V. Agapov, M. Böse, J. Keil, L. Malina, E.S.H. Musa, B. Veglia DESY, Hamburg, Germany A.L. Edelen, P. Raimondi, R.J. Roussel, Z. Zhang SLAC, Menlo Park, California, USA T. Hellert LBNL, Berkeley, California, USA
	Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871072 Badger* is a software designed to easily access several optimizers (simplex, RCDS*, bayesian optimization, etc.) to solve a given multidimensional minimization/maximization task. The Badger software is very flexible and easy to adapt to different facilities. In the framework of the EURIZON European project Badger was used for the EBS and PETRAIII storage rings interfacing with the Tango and TINE control system. Among other tests, the optimisations of Touschek lifetime was performed and compared with the results obtained with existing tools during machine dedicated times. Z. Zhang et al., "Badger: The Missing Optimizer in ACR", doi:10.18429/JACoW-IPAC2022-TUPOST058 ** X. Huang, "Robust simplex algorithm for online optimization", 10.1103/PhysRevAccelBeams.21.104601
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO01
About •	Received ※ 28 September 2023 — Revised ※ 08 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 27 October 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Optimisation of the Touschek Lifetime in Synchrotron Light Sources Using Badger

108

S.M. Liuzzo, N. Carmignani, L.R. Carver, L. Hoummi, D. Lacoste, A. Le Meillour, T.P. Perron, S.M. White
ESRF, Grenoble, France
I.V. Agapov, M. Böse, J. Keil, L. Malina, E.S.H. Musa, B. Veglia
DESY, Hamburg, Germany
A.L. Edelen, P. Raimondi, R.J. Roussel, Z. Zhang
SLAC, Menlo Park, California, USA
T. Hellert
LBNL, Berkeley, California, USA

Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871072
Badger* is a software designed to easily access several optimizers (simplex, RCDS**, bayesian optimization, etc.) to solve a given multidimensional minimization/maximization task. The Badger software is very flexible and easy to adapt to different facilities. In the framework of the EURIZON European project Badger was used for the EBS and PETRAIII storage rings interfacing with the Tango and TINE control system. Among other tests, the optimisations of Touschek lifetime was performed and compared with the results obtained with existing tools during machine dedicated times.
* Z. Zhang et al., "Badger: The Missing Optimizer in ACR", doi:10.18429/JACoW-IPAC2022-TUPOST058
** X. Huang, "Robust simplex algorithm for online optimization", 10.1103/PhysRevAccelBeams.21.104601

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO01

About •

Received ※ 28 September 2023 — Revised ※ 08 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 27 October 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)