Collimation of Partially Stripped Ion Beams in the LHC. / Abramov, Andrey; Nevay, Laurence; Bruce, Roderik; Fuster-Martinez, Nuria; Gorzawski, Arkadiusz; Krasny, Mieczyslaw; Molson, James; Redaelli, Stefano; Schaumann, M.

10th International Particle Accelerator Conference. JACoW Publishing, 2019. p. 700-703.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Abstract

In the scope of the Physics Beyond Colliders studies, the Gamma Factory initiative proposes the use of partially stripped ions as a driver of a new type, high intensity photon source in CERN’s Large Hadron Collider (LHC). In 2018, the LHC accelerated and stored partially stripped 208Pb81+ ions for the first time. The collimation system efficiency recorded during this test was found to be prohibitively low. The worst losses were localised in the dispersion suppressor (DS) of the betatron cleaning insertion. Analytic arguments and simulations show that the large losses are driven by the stripping of the remaining electron from the Pb nucleus by the primary collimators. The rising dispersion in the DS pushes the resulting off-rigidity, fully-stripped ions into the aperture of the superconducting magnets. In this study the measured loss maps are compared against results from simulations. Different mitigation strategies are outlined, including a dispersion suppressor (DS) collimator, crystal collimation or an orbit bump.
Original languageEnglish
Title of host publication10th International Particle Accelerator Conference
PublisherJACoW Publishing
Pages700-703
Number of pages4
ISBN (Electronic)978-3-95450-208-0
DOIs
Publication statusPublished - 21 Jun 2019
Event10th International Particle Accelerator Conference, IPAC 2019 - Melbourne, Australia
Duration: 19 May 201924 May 2019

Conference

Conference10th International Particle Accelerator Conference, IPAC 2019
CountryAustralia
CityMelbourne
Period19/05/1924/05/19
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 36469911