Some investigations on Shower in Aug11 DST - PowerPoint PPT Presentation

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Some investigations on Shower in Aug11 DST

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  1. Some investigations on Shower in Aug11 DST Szymon Harabasz Version: 19 September 2014

  2. PID plot

  3. mass

  4. Pre – RPC correlations

  5. All RPC clusters to all Pre hits in event Closest RPC clusters matched with all tracks to all Pre hits in event

  6. Selct only bottom parts of both detectors Correlation fairly better!

  7. All RPC clusters to all Pre hits in event Closest RPC clusters matched with all tracks to all Pre hits in event

  8. Row-Col for Shower hits best matched with particle candidates Positive particles Negative particles

  9. ϴcand vs. Shower hit rowAug 11 Positive particles Negative particles

  10. ϴcand vs. Shower hit rowNov 10 Why previously there was no problem to calculate efficiency in bottom rows? All particles Negative particles

  11. Sum0 vs. momentum Negative pions Protons π- Protons

  12. Sum1 vs. momentum Protons π- Protons

  13. Sum2 vs. momentum Protons π- Protons

  14. Sum1-Sum0 vs. Momentumsector 1 π- Protons

  15. Sum2-Sum0 vs. Momentumsector 1 π- Protons

  16. Mean Sum0 - protons

  17. Mean Sum1 - protons

  18. Mean Sum2 - protons

  19. Mean Sum0 – π-

  20. Mean Sum1 – π-

  21. Mean Sum2 – π-

  22. Shower alignment not perfect?

  23. Shower alignment not perfect?

  24. Shower alignment not perfect?

  25. p vs. θRPC - experiment

  26. Simulation of π-

  27. π- simulation – without tracking Without tracking I cannot identify pios in experiment

  28. π-with tracking Simulation Experiment Tracks matched with RPC Tracks matched with Shower

  29. π- simulation – with tracking Simulation Experiment Tracks matched with (correlated) RPC and Shower

  30. π- Simulation without tracking Simulation with tracking Experiment

  31. π-- simulation Tracks matched with (correlated) Shower and RPC Tracks matched with Shower With tracking Without tracking

  32. Digitization

  33. EffPre(β) Negative particles All particles

  34. EffPost I(β) Negative particles All particles

  35. EffPre(position) Negative particles All particles

  36. EffPost I(position) Negative particles All particles

  37. Take all the tracks in the event • Match HShowerHit to each of them (find the one with the best matching quality • Count other hits in the distance of two cells from the matched one • Put row and column to a histogram • Divide by hits distribution to get probability Pile up estimation Post I Pre Post II

  38. Looking for leptons

  39. First attempt • Read data from all HparticleCands, write it to ntuple, apply conditions when drawing histograms with Draw method • Meta matching quality < 4 • Average charge > 70 • Inner segment chi2 > 0 • RK chi2 < 1000 • Graphical cut:

  40. System 0, p < 150 MeV/c System 1, 200 < p < 300 MeV/c System 1, 200 < p < 300 MeV/c System 0, p < 150 MeV/c

  41. Next attempts • Second: • The same conditions as in the first attempt plus • kIsUsed flag • Third: • The same conditions as in the first attempt plus flags: • kIsAcceptedHitRICHMDC • kIsAcceptedHitInnerMDC • kIsAcceptedHitOuterMDC • kIsAcceptedRKMETA

  42. ∆θ RICH – Track, System 0 All histograms in one figure scaled to (almost) common maximum value

  43. ∆θ RICH – Track, System 1 All histograms in one figure scaled to (almost) common maximum value

  44. Second attempt Third attempt

  45. Fourth attempt • Read data from all HparticleCands, write it to ntuple, apply conditions when drawing histograms with Draw method • Meta matching quality < 4 • Average charge > 70 • Inner segment chi2 > 0 • RK chi2 < 1000 • β > 0.9

  46. Fourth attempt