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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-RochLPNHE13 may 2003.

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CAT plenary meeting

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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-RochLPNHE13 may 2003


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


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


Calt42Reco 1/2


Calt42Reco 2/2


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


Calt42Structuse in Calt42Reco


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


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


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


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


Population reportunstreamed data


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 ?


Region Labels


Region reportemstream data


Region reportWZstream data with problems


Region reportunstreamed data


Region reportunstreamed data with problems


Region reportminimum/zero bias data


Region reportminimum/zero bias data with problems


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)


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 ?


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)


Effect on EM clustersNumber of cells


Effect on EM clustersNumber of cells


Effect on EM clustersestimators pT<13 GeV


Effect on EMidestimators pT<13 GeV


Effect on electronsestimators pT<13 GeV


Effect on EM clustersestimators pT>13 GeV


Effect on EMidestimators pT>13 GeV


Effect on electronsestimators pT>13 GeV


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


  • 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


    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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