MODELLING OF THE EMMA NS-FFAG INJECTION LINE USING GPT

EMMA (Elec­tron Ma­chine with Many Ap­pli­ca­tions) is a pro­to­type non-scal­ing Fixed Field Al­ter­nat­ing Gra­di­ent (NS-FFAG) ac­cel­er­a­tor present­ly under con­struc­tion at Dares­bury Lab­o­ra­to­ry, UK. The en­er­gy re­cov­ery linac ALICE will serve as an in­jec­tor for EMMA with­in the en­er­gy range of 10 to 20 MeV. The in­jec­tion line con­sists of a sym­met­ric 30° dog­leg to ex­tract the beam from ALICE, a match­ing sec­tion and a to­mog­ra­phy sec­tion for trans­verse emit­tance mea­sure­ments. This is fol­lowed by a trans­port sec­tion to the in­jec­tion point of the EMMA ring. Com­mis­sion­ing of the EMMA in­jec­tion line start­ed in early 2010. A num­ber of dif­fer­ent in­jec­tion en­er­gy and bunch charge regimes are planned; for some of the regimes the ef­fects of space charge will be sig­nif­i­cant. It is there­fore nec­es­sary to model the elec­tron beam trans­port in this line using a code ca­pa­ble of both cal­cu­lat­ing the ef­fect of, and com­pen­sat­ing for, space charge. There­fore the Gen­er­al Par­ti­cle Trac­er (GPT) code has been used. A range of in­jec­tion beam pa­ram­e­ters have been mod­elled for com­par­i­son with ex­per­i­men­tal re­sults.