DPG Phi
Verhandlungen
Verhandlungen
DPG

Dresden 2020 – wissenschaftliches Programm

Die DPG-Frühjahrstagung in Dresden musste abgesagt werden! Lesen Sie mehr ...

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

AKBP: Arbeitskreis Beschleunigerphysik

AKBP 16: Posters

AKBP 16.4: Poster

Donnerstag, 19. März 2020, 16:30–18:00, P1C

Automated optimization of synchrotrons for high intensity beams — •Dmitrii Rabusov — TU Darmstadt TEMF, Schloßgartenstr. 8, 64289 Darmstadt

Achieving high intensities is one of the main challenges during the exploitation of a synchrotron. The challenge can be complicated by various effects such as the space charge, wakefields, etc. Errors in the lattice of the synchrotron lead to additional obstacles during the operation: the orbit distortion, the beating of lattice functions: alpha, beta, dispersion, etc.

It’s known that the aperiodic perturbation of the magnet structure breaks the symmetry of the synchrotron and particles cross undesired resonances driven by a nonlinear force, which is the space charge in the case of this work. Space charge with the linear perturbation of the lattice can be the reason for the increasing rate of particle losses. The high level of losses yields to damaging of the equipment. Finally, beta-beating at high intensities can cause the blow-up of the emittance.

Described effects and the compensation of them are essential for SIS100 project. Correction schemes for lattice optimization are studied. The goal of the correction is to restore the periodicity of the beta-function using an optimal set of correctors. Different optimization techniques are validated with simple FODO lattice first. A python library cpymad provided all required single-particle MADX computations for this project. Moreover, particle tracking with the space charge in PyORBIT is performed in order to investigate the benefits of different optimization functions.

100% | Mobil-Ansicht | English Version | Kontakt/Impressum/Datenschutz
DPG-Physik > DPG-Verhandlungen > 2020 > Dresden