Software Development for Automation of Particle Accelerator Magneto-Optical Structure Correction | Sciact - CRIS-system of Boreskov Institute of Catalysis

Software Development for Automation of Particle Accelerator Magneto-Optical Structure Correction Full article

Journal

Instruments and Experimental Techniques
ISSN: 0020-4412 , E-ISSN: 1608-3180

Output data

Year: 2024, Volume: 67, Number: S1, Pages: S58-S64 Pages count : 7 DOI: 10.1134/s0020441224701252

Tags

automation, magnetic structure, particle accelerator

Authors

Mamutov R.Z. ^1,2,3 , Baranov G.N. ^1,2,4

Affiliations

1	Budker Institute of Nuclear Physics of the Siberian Branch of the Russian Academy of Sciences, 630090, Novosibirsk, Russia
2	Synchrotron Radiation Facility – Siberian Circular Photon Source “SKIF,” Boreskov Institute of Catalysis of the Siberian Branch of the Russian Academy of Sciences, 630559, Kol’tsovo, Novosibirsk oblast, Russia
3	Novosibirsk State University, 630090, Novosibirsk, Russia
4	Novosibirsk State Technical University, 630073, Novosibirsk, Russia

Funding (2)

1	Ministry of Science and Higher Education of the Russian Federation	FWUR-2024-0041
2	Russian Science Foundation	22-12-20025 (122041800053-0)

Software has been developed allowing automated correction of circular particle accelerator magnetic structures. Beam-based methods and algorithms for rapid online processing of experimental data obtained from the accelerator beam diagnostics system are described. Moreover, the developed program serves as a high-level controller for the magnetic system control and online monitoring of its state. Software has been tested at the VEPP-4M collider and integrated into its control system.

Mamutov R.Z. , Baranov G.N.
Software Development for Automation of Particle Accelerator Magneto-Optical Structure Correction
Instruments and Experimental Techniques. 2024. V.67. NS1. P.S58-S64. DOI: 10.1134/s0020441224701252 WOS OpenAlex publication_identifier_short.sciact_skif_identifier_type

Submitted:	Apr 28, 2024
Accepted:	May 6, 2024
Published print:	Dec 1, 2024
Published online:	Feb 5, 2025

Web of science:	WOS:001415345900015
OpenAlex:	W4407171465
publication_identifier.sciact_skif_identifier_type:	3694

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