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Measurement of CP violation with the LHCb experiment at CERN

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Presentation on theme: "Measurement of CP violation with the LHCb experiment at CERN"— Presentation transcript:

1 Measurement of CP violation with the LHCb experiment at CERN
Annabelle Chuinard McGill University WIPC 2013 WIPC 2013

2 The LHC experiment Key facts Physics goals
b b Physics goals Key facts b-physics: study of particles containing a (anti-)beauty quark! Branching fraction of B meson decay  Feynman diagram CP asymmetry  CKM matrix terms Physics beyond the SM 760 people, 14 countries 4500 t. apparatus, 100 m underground single arm forward (≠ ATLAS) WIPC 2013

3 The LHCb detector Magnets Trackers Electronic CALorimeter Hadronic
Muons detector (MWPC) -271.3°C RICH 2 -5 to 5°C RICH 1 VErtex LOcator -25°C Proton beam pp collision WIPC 2013

4 My job: measure CP asymmetry for
Tree Radiative B decay : A1 Amplitudes Penguin (loop) A2 There are 2 main Feynman contributions to this decay. WIPC 2013

5 CKM terms and couplings
Cabbibo-Kobayashi-Maskawa CKM) matrix describes quark mixing in weak interactions. WIPC 2013

6 Asymmetry Conjugate process (CP) WIPC 2013

7 Charge asymmetry Asymmetry due to production rate of B+ et B-
Detection asymmetry between K+ et K- (found compatible with 0) Measured value from experimental rates Corrections

8 How to determine raw asymmetry?
Distribution of the invariant mass η’K+ Blue line: Multiparameter fit to maximize the extended likelihood function Distribution of the invariant mass η’K-

9 Use this as a boundary condition to fit ρ as of function of pK+.
Detection asymmetry Detection efficiency is a function of the cross-section of with matter. At high energy, K+ and K- indistinguishable = same cross section Test sample: (no production asymmetry) Map ρ and use MINUIT tool to minimize χ2 Use this as a boundary condition to fit ρ as of function of pK+.

10 Detection asymmetry computation
Integrate over the distribution to have number of events Distribution of as a function of the momentum Distribution of the number of events as a function of Distribution of the number of events as a function of

11 SUMMARY Calculated using rates from mass distributions
Calculated using new method based on kaons cross-sections Compatible with PDG world average : Improvements : Increase luminosity = more statistics

12 Appendix 1: 2D Likelihood fit
Unbinned limit (either 0 or 1 event per bin) Poisson’s distr. mB and mη’ are uncorrelated

13 Appendix 2: Detection asymmetry – Mapping process


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