A study of the CKM angle gamma using the LHCb experiment and a distributed workload management system
Li, Ying Ying
University of Cambridge
Department of Physics
Doctor of Philosophy (PhD)
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Li, Y. Y. (2009). A study of the CKM angle gamma using the LHCb experiment and a distributed workload management system (Doctoral thesis). https://doi.org/10.17863/CAM.16562
Pagination different to approved hard bound copy, PhD.32674, but content the same.
The LHCb experiment, at the Large Hadron Collider (LHC), will make precision CP violation measurements and search for new physics beyond the Standard Model of particle physics. The 14 TeV proton-proton collisions at the LHC will produce the full range of B-hadrons, at a data rate of peta-bytes per year. In order to process this unprecedented amount of data, distributed computing resources (the Grid) located across four continents are coordinated by a series of workload management systems (Grid middlewares). DIRAC, the LHCb distributed workload management system for event simulation, reconstruction and user analysis is extended from the Linux operating platform to the Windows platform, allowing a transparent integration of Windows resources to the existing Linux system. The B+/- -> D0/D-0 (K0 S pi+ pi-)K+/- decay, a key channel for the precision measurement of the CKM angle gamma, is studied using the multiplatform DIRAC system. The expected annual yield from this channel for 2 fb-1 of data (a full data taking year) is ~4200 events, with a total physics background to signal ratio (B/S) of < 0:54 at the 90% confidence level. The dominant background is expected to arise from a real D0/D-0 candidate reconstructed with a fake kaon from the underlying event, with a B/S = 0.35 +/- 0.03 where the error is statistical. The potential background arising from a real D0/D-0 candidate reconstructed with a mis-identifi ed pion is greatly reduced,with a B/S < 0:095 at the 90% confi dence level, by the use of particle identi cation information from the RICH sub-detector. The estimated LHCb statistical sensitivity to gamma is ~12o for 2 fb-1 of data, using a model dependent Dalitz analysis with a model error of ~9°.
This record's DOI: https://doi.org/10.17863/CAM.16562
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