Aneela Amin, Haris Rashid, Talab Hussain

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Presentation transcript:

Aneela Amin, Haris Rashid, Talab Hussain Centre for High Energy Physics, University of the Punjab, Lahore, Pakistan Charmonium Group Meeting, April 17, 2019

Outline Overview Motivation Data Analysis Results Conclusions

Motivation In this study we searched isospin and strangeness violating decay, which is highly suppressed but kinematically it is possible. To find any hint beyond the Standard Model of Particle Physics. This work is based upon the analysis of and try to measure its branching fraction using the large statistics at BESIII.

Initial Events Selection Charged tracks 4 good tracks and |cos|<0.93. Qi=0 PID dE/dx and TOF information are combined to identify particles. Pt > 0.5

Selection of after Vertex Fitting

Selection of after Kinematic Fitting

Optimized 2 MC Data

Optimized 2

Final Event Selection

Final selection criteria

Invariant mass of MC & Data after selection criteria

Inclusive Backgrounds

Inclusive Background Cont…

Inclusive Background To suppress the channel use Data

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Inclusive Background To suppress the channel use

Exclusive Background To suppress the channel use

Exclusive Background To suppress the channel use

Exclusive Background To suppress the channel use

Exclusive Background To suppress the channel use

Exclusive Background To suppress the channel use

Cont…

Initial Events Selection 4 good tracks and |cos|<0.93. Qi=0 PID dE/dx and TOF information are combined to identify particles. Pt > 0.5

Selection of after Vertex Fitting

Selection of after Vertex Fitting

Selection of after Kinematic Fitting

Optimized 2

Optimized 2

Invariant mass of MC & Data after selection criteria

Cont…

Thanks

Distribution of Signal

Distribution of Signal for