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CAT plenary meeting

CAT plenary meeting. T42 algorithm dedicated webpage : http://www-d0.fnal.gov/~vlimant/noise-suppdescr/Description.html. T42 + Top_analyze +d0root_analysis Principle & Implementation Effect on cells Effect on EM objects. VLIMANT Jean-Roch LPNHE 13 may 2003.

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CAT plenary meeting

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  1. CAT plenary meeting T42 algorithm dedicated webpage :http://www-d0.fnal.gov/~vlimant/noise-suppdescr/Description.html • T42 + Top_analyze +d0root_analysis • Principle & Implementation • Effect on cells • Effect on EM objects VLIMANT Jean-Roch LPNHE 13 may 2003

  2. T42Principle : reject isolated medium cellsNamed after an algorithm used in H1 • Reject negative energy cells • Select high signal cells (4 sigma) • Keep their significant neighbours (2 sigma) Thresholds 2 is 2.5 at the moment

  3. cal_t42 Packagecreated after cal_nada classes Classes : • Calt42Struct : neighbourhood object • Calt42 : container for cell lists • Calt42Chunk : container for Calt42 object • Calt42Reco : • Does the cleaning and creates a Calt42Chunk with rejected cells and modify/or not the CalDataChunk (killing/shadow mode). • Get the neighbourhood info from a Calt42Struct object which allows a linear algorithm complexity. • Calt42Combine : • When shadow mode in d0reco : produces a clean CalDataChunk • When killing mode in d0reco : produces a un-clean CalDataChunk • And registerers RegCalt42Reco RegCalt42Combine

  4. Calt42Reco 1/2

  5. Calt42Reco 2/2

  6. Calt42Structclasscontent • Objects • spine : array[81600] of structured object • Mapped to ieta, iphi, layer by :INDEX = iphi + 64( layer - 1 ) + 1088( ieta + 37 ) - 1 • Structured object fields • sigma : tells the noise rms of the cell • pointers to all possible neighbors within the array • single pointer to be assigned to a CalCell available in CalDataChunk • Methods • Access • Fields initialiaser The Neighbourhood information is read from the file STRUCTURE.dat

  7. Calt42Structuse in Calt42Reco

  8. Calt42StructNeighbourhood informationhttp://www-d0.fnal.gov/~vlimant/noise-suppdescr/Description.html • How to check ? • Trust me • WebPage : check rules and pictures • Calt42Struct::PrintNeighbours(ieta,iphi,layer) • Calorimeter display : to be written

  9. Calt42CombineOnly for DST files Only one parameter • Do you want the t42 cleaned CalDataChunk ? Automatic detection of the d0reco mode by cell matching. Modification of the CalDataChunk

  10. In the frameworkneed for post-reconstruction when shadow mode For DST /TMB In the main rcp String packagename = “…unpack T42 rebuild …” T42 = < cal_t42 Calt42> // process the t42 algo or T42 = < cal_t42 Calt42Combine> // only combine chunks “rebuild” must reconstruct the object chunks you want to see the effect on

  11. Study effects on data Data sets • EM stream data 10000 evts of WZskim-emStream-*-*.raw_p13.06.01 under the project name WZstreamTMBp13.06 • Unstreamed data 10000 evts in files recoT_all_0000174234_mrg_*-*.raw_p14.01.00 Global_CMT run • Min/Zero bias Wzskim 10000 evts of Wzskim-mzbiasStream-*-*.raw_p13.06.01 Under the project name mzbias_mvh.all1

  12. Population reportunstreamed data

  13. Cells effectclose to beamEC regions • More rejection than expected noise ! • Too many cells with negative energy arbitrarily increases the rejection; They are not from gaussian noise only, probably due to pile-up • This is due to cell close to the beam 33-37 • Negative energy rejection is unsuited to this region • Should be treated separately • Keep untouched above |ieta|=33(CH) and 32 (EM, FH) • Even lower for FH ?

  14. Region Labels

  15. Region reportemstream data

  16. Region reportWZstream data with problems

  17. Region reportunstreamed data

  18. Region reportunstreamed data with problems

  19. Region reportminimum/zero bias data

  20. Region reportminimum/zero bias data with problems

  21. Cells effectaway from beamCC regions Statistically noise like rejection Always about the same number of negative cells in the event : probably noise and it is always rejected Coherent number of rejected cells Region occupancies show signal presence ~40% on unstreamed data Cells clustering decreases with the distance to interaction point -/+ rejected ratio for region threshold tuning ? Although skim dependent (topology dependence)

  22. Cells effectclose to the beam • Still too much rejection in FH part need to be investigate • Peaks are due to • Overpopulated cells • Cell with noise problem • strange regions ?

  23. Effect on EM clustersdata/MC sets • Zee picked sample p13.05 2418 evts (not used) • Filename : /rooms/living/varnes/scratch/cab/zee-p13/*/tmbfile • Zee Monte Carlo p13.08 6000 evts • Project name ctf_p13.08_zee_sig2.5_tmb • Filename : tmb-x13.08.00_CTF13.08.00-02-z-ee_np_mcp13_hepfm007.uta.edu_null_* • Estimators study • At high/low energy : emstream • At low energy : J/ skim from Jan Stark (not used yet)

  24. Effect on EM clustersNumber of cells

  25. Effect on EM clustersNumber of cells

  26. Effect on EM clustersestimators pT<13 GeV

  27. Effect on EMidestimators pT<13 GeV

  28. Effect on electronsestimators pT<13 GeV

  29. Effect on EM clustersestimators pT>13 GeV

  30. Effect on EMidestimators pT>13 GeV

  31. Effect on electronsestimators pT>13 GeV

  32. T42 effects • 10% more EM cluster (10,11 ) • 20% less above 13 GeV • 15% more Emid clusters • 80% more below 13GeV • 11% more electrons • 34% more below 13GeV

  33. EM Efficiency &fake ratesdata set • DIEM15 stream of WZ skim 1.5Mevt DIEM15-WZskim-emStream-*-*.raw_p13.06.01 (05) under the project name Wzskim_diem NEXT TIME

  34. Conclusion • Code run into p14 code • T42 chunk at DST level (checked) • D0note 4146 update soon • Noise cleaning • Electronic noise seems to be deleted • Pile-up problem near beam pipe remains • Get more electrons and photons • NEXT : • Fake and efficiency • More at low energy with J/ skim

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