000003629 001__ 3629
000003629 005__ 20230529092222.0
000003629 037__ $$aBELLE2-PTHESIS-2023-012
000003629 041__ $$aeng
000003629 100__ $$aAntonio Paladino
000003629 245__ $$aMachine induced background study and simulation optimization at the SuperKEKB accelerator
000003629 260__ $$aRoma$$bUniversità La Sapienza$$c2020
000003629 300__ $$a139
000003629 500__ $$aPresented on 19 02 2020
000003629 502__ $$aPhD$$bRoma, La Sapienza$$c2020
000003629 520__ $$aIn 2004 the idea of an upgrade of KEKB to a machine with an even higher instantaneous luminosity started to be developed, and culminated in 2019 with the start of operations of SuperKEKB and the Belle II detector. One big challenge for such a high luminosity collider is machine induced backgrounds, so it is necessary to study all possible countermeasures to reduce them, including beam collimators. Collimators are sophisticated, costly and relatively big elements of the lattice, so their number and their position in the ring must be carefully evaluated. Simulations can be used to predict their effects and their optimal apertures. This work stems from the need to study how machine induced backgrounds can be mit- igated by collimators, how much collimator apertures can be optimized, and how many collimators could/should be installed to effectively reduce backgrounds.
000003629 700__ $$aFrancesco Forti$$edir.
000003629 700__ $$aCarlos Marinas$$edir.
000003629 8560_ $$fantonio.paladino@bo.infn.it
000003629 8564_ $$uhttps://docs.belle2.org/record/3629/files/BELLE2-PTHESIS-2023-012.pdf
000003629 980__ $$aTHESIS