Charmonium Group Meeting

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Presentation transcript:

Charmonium Group Meeting Study of (J/Ψ,Ψ(2S)) → ΛX Khadija Saeed, Haris Rashid, Abrar Ahmad Zafar, Talab Hussain Centre for High Energy Physics, University of the Punjab, Lahore, Pakistan Charmonium Group Meeting April 17, 2019

Outline Overview Motivations Experiment Overview Data Analysis Results Conclusion

Motivations This work is devoted to the analysis of The isospin conserving modes containing baryon pair with meson has been reported in PDG, also some searches have been performed to explore isospin violation process. In this study we searched the violation process in two ways isospin and strangeness which is highly suppress but kinematic ally it is possible. To find any hint beyond the Standard Model of Particle Physics. This work is devoted to the analysis of and try to measure its branching fraction using the large statistics at BESIII

What is “X” Here X can be any anti baryon e.g . Here we will discuss these channels

Observation of This study is based upon two steps Monte Carlo (MC) simulations. Real data results Where real data contain events and events

MC simulation A MC sample of 100000 events is generated using different generators for each channel.

Event Selection for There are 4 charge tracks in as and Only those events are selected having nGood == 4 number of ɣ == 1 nCharge == 0 PID is applied to select events having 1 proton 1 anti proton 1 pion and 1 anti pion

MC and Data invariant mass of using kinematic fit for

MC and Data invariant mass of using kinematic fit for

Background Analysis for

MC and Data invariant mass of after applying cuts

Fit result of

Calculated Branching Fraction for Formula for the calculation of Branching fraction is given bellow Here represents number of observed signal events, detection efficiency and intermediate branching fraction . The calculated branching fraction is

Initial Event Selection for There are 4 charge tracks in as and Only those events are selected having nGood == 4 nCharge == 0 PID is applied to select events having 1 proton 1 anti proton 1 pion and 1 anti pion

MC and Data invariant mass of using kinematic fit

MC and Data invariant mass of using Kinematic fit

Final Event Selection for

MC and Data invariant mass of after applying cuts

Sideband Analysis for

Upper Limit using Poisson Distribution

Calculated Upper Limit at 95% Confidence Level for Formula for the calculation of upper limit is given bellow Here represents number of observed signal events, detection efficiency and intermediate branching fraction . The calculated branching fraction is

Initial Event Selection for There are 4 charge tracks in as and Only those events are selected having nGood == 4 number of ɣ == 2 nCharge == 0 PID is applied to select events having 1 proton 1 anti proton 1 pion and 1 anti pion

MC and Data invariant mass of using kinematic fit for

MC and Data invariant mass of using kinematic fit for

Background Analysis for

MC and Data invariant mass of after applying cuts

Sideband Analysis for

Calculated Upper Limit at 95% Confidence Level for Formula for the calculation of upper limit is given bellow Here represents number of observed signal events, detection efficiency and intermediate branching fraction . The calculated branching fraction is

Initial Event Selection for There are 4 charge tracks in as and Only those events are selected having nGood == 4 nCharge == 0 PID is applied to select events having 1 proton 1 anti proton 1 pion and 1 anti pion

MC and Data invariant mass of using kinematic fit for

MC and Data invariant mass of using kinematic fit

Background Analysis for

MC and Data invariant mass of after applying cuts

Sideband Analysis for

Calculated Upper Limit at 95% Confidence Level for Formula for the calculation of upper limit is given bellow Here represents number of observed signal events, detection efficiency and intermediate branching fraction . The calculated branching fraction is

Event Selection for There are 4 charge tracks in as and Only those events are selected having nGood == 4 number of ɣ == 1 nCharge == 0 PID is applied to select events having 1 proton 1 anti proton 1 pion and 1 anti pion

MC and Data invariant mass of using kinematic fit for

MC and Data invariant mass of using kinematic fit for

Background Analysis for

MC and Data invariant mass of after applying cuts for

Sideband Analysis for

Calculated Upper Limit at 95% Confidence Level for Formula for the calculation of upper limit is given bellow Here represents number of observed signal events, detection efficiency and intermediate branching fraction . The calculated branching fraction is

Event Selection for There are 4 charge tracks in as and Only those events are selected having nGood == 4 number of ɣ == 2 nCharge == 0 PID is applied to select events having 1 proton 1 anti proton 1 pion and 1 anti pion

MC and Data invariant mass of using kinematic fit for

MC and Data invariant mass of using kinematic fit for

Background Analysis for

MC and Data invariant mass of after applying cuts for

Sideband Analysis for

Calculated Upper Limit at 95% Confidence Level for Formula for the calculation of upper limit is given bellow Here represents number of observed signal events, detection efficiency and intermediate branching fraction . The calculated branching fraction is

Results Calculated Branching fraction and upper limits are

Thanks