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Measurement of CP violation with the LHC b experiment at CERN. Annabelle Chuinard McGill University WIPC 2013. WIPC 2013. The LHC experiment. b. b. Physics goals. Key facts. 760 people, 14 countries 4500 t. apparatu s , 100 m underground single arm forward (≠ ATLAS). - PowerPoint PPT Presentation
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Annabelle Chuinard
McGill UniversityWIPC 2013
Measurement of CP violation with the LHCb experiment at
CERN
WIPC 2013
2
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
The LHC experiment
WIPC 2013
b
Physics goals
b
760 people, 14 countries 4500 t. apparatus, 100 m
underground single arm forward (≠
ATLAS)
3WIPC 2013
The LHCb detector
pp collisio
n
VErtex LOcator
RICH 1
MagnetsTrackers
RICH 2Electronic
CALorimeterHadronic
CALorimeterMuons detector
(MWPC)
-25°C
-5 to 5°C
-271.3°C
Proton beam
4
My job: measure CP asymmetry for
WIPC 2013
There are 2 main Feynman contributions to this decay.
Tree
Penguin (loop)
Radiative B decay :
A1
A2
Amplitudes
5
CKM terms and couplings
WIPC 2013
Cabbibo-Kobayashi-Maskawa CKM) matrix describes quark mixing in weak interactions.
6
Asymmetry
Conjugate process (CP)
WIPC 2013
Charge asymmetry
Measured valuefrom experimental rates
Corrections
Detection asymmetry between K+ et K-
(found compatible with 0)
Asymmetry due to production rate of B+ et B-
7
8How 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
Detection asymmetry
Detection efficiency is a function of the cross-section of with matter.
At high energy, K+ and K- indistinguishable = same cross section
Use this as a boundary
condition to fit ρ as of function of pK+.
Map ρ and use MINUIT tool to minimize χ2 Test sample: (no production asymmetry)
10
Detection asymmetry computation
Distribution ofas a functionof the momentum
Distribution of thenumber of eventsas a function of
Distribution of thenumber of eventsas a function of
Integrate over the distribution to have number of events
11
SUMMARY
Calculated using new
method based on kaons cross-
sections
Calculated using rates from mass
distributions
Compatible with PDG world average :
Improvements :Increase luminosity = more statistics
Appendix 1: 2D Likelihood fit
Poisson’s distr.
mB and mη’ are uncorrelated
Unbinned limit (either 0 or 1 event per bin)12
Appendix 2: Detection asymmetry – Mapping
process13
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