Observation of B0s - B−0s Oscillations and the Development and Application of Same-side-kaon Flavor Tagging

Observation of B0s - B−0s Oscillations and the Development and Application of Same-side-kaon Flavor Tagging
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Total Pages : 209
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ISBN-10 : OCLC:317626686
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Book Synopsis Observation of B0s - B−0s Oscillations and the Development and Application of Same-side-kaon Flavor Tagging by : Alberto Belloni (Ph. D.)

Download or read book Observation of B0s - B−0s Oscillations and the Development and Application of Same-side-kaon Flavor Tagging written by Alberto Belloni (Ph. D.) and published by . This book was released on 2007 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: The search for flavor oscillations in the neutral Bs - B meson system constitutes a flagship analysis of the Tevatron proton-anti-proton collider physics program and an important probe for effects due to new physics beyond the Standard Model of particles and interactions. In particular, the precise measurement of a process such as Boscillations sets a strong constraint on the parameters of quark-flavor mixing in the Standard Model. This dissertation reports the analysis which, for the first time, observed B- Bs oscillations, using data collected with the CDF detector. The sub-percent precision of the measurement is also noteworthy. The data sample used for this analysis includes fully and partially reconstructed Bdecays: ... The focus of this thesis is the algorithm of same-side-kaon tagging which provides _-0 a large fraction of the flavor-tagging power available to this analysis of B- B8 oscillations. Flavor tagging consists in assessing whether a B, meson is creates as a B_--0 or a B, state, and constitutes an important ingredient in the analysis presented in this document. The algorithm which is here described combines particle identification information and kinematic characteristics of the Bevent in an artificial neural network to provide improved tagging power E'2 of about 4.0 - 4.8%, depending on the data sample to which the algorithm is applied. The search for B1 oscillations is performed using an amplitude method based on a frequency scanning procedure. Applying a neural network-based combination of lepton, kaon and jet charge opposite-side tagging algorithms, with a total tagging power of ED2 = 1.8%, and the same-side-kaon tagging algorithm to a data sample of 1 fb-1, a signal of B- B_ oscillations with a significance greater than 5 standard deviations is found ...


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