Abstract

Normal-conducting scaling fixed field alternating gradient accelerator for proton therapy

Highlights

  • External beam radiotherapy, which is predominantly used for the treatment of cancer, is mostly carried out using x-rays generated in electron linacs

  • In order to assess the amount of bending required to first order, for a normal conducting strength magnet arrangement we may calculate the total length of the bending Lbend for the maximum rigidity beam Bρ of 2.94 Tm at 350 MeV, given the maximum magnetic field seen by a particle on the closed orbit has a constraint B0;max < 1.8 T and divide this by the number of cells in the lattice Ncells, Lbend

  • We have presented our designs for a 30–350 MeV normal conducting scaling fixed-field alternating-gradient accelerator (FFAG) for proton therapy

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Summary

INTRODUCTION

External beam radiotherapy, which is predominantly used for the treatment of cancer, is mostly carried out using x-rays generated in electron linacs. FFAGs are in principle capable both of obtaining extracted proton energies up to and beyond 350 MeVand of delivering pulse-by-pulse extraction with varying energy at rates up to 1 kHz. A FFAG typically has a large acceptance and can cope with variable bunch charge which would be necessary for the different intensities needed for pCT and treatment, provided a suitable injector was used. In this work we propose a new scaling FFAG design aimed at proton therapy and pCT which accelerates protons from an injection energy of 30 MeV to a maximum extracted energy of 350 MeV—higher than any dedicated proton therapy machine to date.

NORMA RING LATTICE
Cell geometry and ring size
N cells
Lattice optimization in PyZgoubi
Reducing circumference for a fixed working point
Optimizing the working point and dynamic aperture for a fixed geometry
Properties of the optimized NORMA ring lattice
Cell misalignment errors
Concluding remarks—NORMA ring lattice
Concluding remarks—NORMA racetrack lattice
Injection from cyclotron
Acceleration and extraction from FFAG
Findings
CONCLUSIONS
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