eprintid: 20648
rev_number: 17
eprint_status: archive
userid: 2487
dir: disk0/00/02/06/48
datestamp: 2016-05-11 07:09:12
lastmod: 2016-05-31 12:22:25
status_changed: 2016-05-11 07:09:12
type: doctoralThesis
metadata_visibility: show
creators_name: Reidt, Felix
title: Studies for the ALICE Inner Tracking System Upgrade
subjects: ddc-530
divisions: i-130200
adv_faculty: af-13
abstract: The ALICE experiment at the CERN LHC identifies D0 mesons via secondary-vertex reconstruction and topological cuts to reduce the corresponding combinatorial background in heavy-ion collisions. The D0 meson is produced promptly in initial, hard scatterings via the strong interaction or as feed-down from weakly decaying B hadrons. Within this thesis, a novel method for the separation of prompt and feed-down D0 mesons using cut variations was implemented and applied to data from p–Pb collisions at sqrt(s_NN) = 5.02 TeV. The effectiveness of the secondary-vertex reconstruction strongly depends on the performance and in particular the pointing resolution of the Inner Tracking System. The upgrade of the ALICE Inner Tracking System for the Long Shutdown 2 of the LHC in 2019/2020 will significantly improve its vertex-reconstruction and tracking capabilities. It will be equipped with Monolithic Active Pixel Sensors manufactured using the TowerJazz 180nm CMOS process on wafers with a high-resistivity epitaxial layer. In another part of this thesis, several pixel-chip prototypes of the ALPIDE architecture with in-pixel amplification and discrimination as well as in-matrix data reduction were characterised. The pALPIDE-2 prototype was measured to fulfil the requirements in terms of detection efficiency, fake-hit rate, position resolution and tolerance to irradiation with non-ionising energy loss.
Based on simulations modelling the tracking and vertex-reconstruction performance of the upgraded Inner Tracking System, the perspective of the feed-down separation using cut variations after the upgrade was assessed within this thesis.
date: 2016
id_scheme: DOI
id_number: 10.11588/heidok.00020648
ppn_swb: 1656812355
own_urn: urn:nbn:de:bsz:16-heidok-206483
date_accepted: 2016-04-28
advisor: HASH(0x55d997bba588)
language: eng
bibsort: REIDTFELIXSTUDIESFOR2016
full_text_status: public
citation:   Reidt, Felix  (2016) Studies for the ALICE Inner Tracking System Upgrade.  [Dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/20648/1/PhDthesis_freidt_pub.pdf