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Commissioning data are taken with individual chambers TP data

Commissioning data are taken with individual chambers TP data autotriggered Cosmic rays data  ( different configuration ) Different cosmic track angle  ( sector depending ) Commissioning primary goal is to verify

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Commissioning data are taken with individual chambers TP data

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  1. Commissioning data are taken with individual chambers • TP data • autotriggered Cosmic rays data ( different configuration) • Different cosmic track angle ( sector depending) • Commissioning primary goal is to verify • the cabling, the trigger and readout i.e the MiniCrate performace and last • the performance of the chambers once installed . • We may gain experience on chambers performances with final MC and with real data • Urgent Problems : we have to study their effect and origin • 40MZ • occupancy distribution ( pattern)

  2. With the data we have to yeld A ) OVERALL STATISTICS of STANDARD commissioning Chamber PARAMETERS B ) with TRACK reconstruction resolution , efficiency, layers & SL Phi alignment .(?? Effect 40MHz problem ) C ) AUTOTRIGGER performance: rates, correlations with angle (?? Origin of Occupancy pattern). D ) Correlations between point B) and C) and Sectors ( track angle)

  3. A) OVERALL STATISTICS of STANDARD commissioning Chamber PARAMETERS A. 1) -systematic analysis of noisy/dead cells/afterpulses/40MH - distinguish between known and new dead cells increase in dead channels? - average noise, no. of noisy cells, compare with cells already identified as noisy before --> in addition: can we learn something about the sources of noise? A. 2) -systematic analysis of Mini Crate feature in all chambers -TestPulses T0(chan) uniformity - TestPulses differences layers pair and unpair

  4. B) Track reconstruction : not yet officially done on commissioning data but idea/tools are almost ready . B. 1 ) systematic studies of resolutions for many/all chambers ( and resolution as a function of angle, trigger etc etc) Check carefully the effect of the 40 MHz. B. 2 ) efficiency (within a layer, within a cell) B. 3 ) study the alignment of the 2 phi-SLs (one with respect to the other) and of the layers in the SLs. B.1 ) systematic studies of meantimes for many/all chambers ( i.e. layers alignment within a SL) >it can be useful only with good time resolution . NB: point B1 and B3 are strongly correlated.

  5. AUTOTRIGGER performance:. • C. 1 ) statistic of rate as function of type of autotrigger and sector • ( some measurements are performed with scalers with no data • taking and recorded during shifts ) • C. 2 ) correlation between autotrigger and efficiency • C. 3 ) correlation between autotrigger and resolution • C. 4 )uniformity as function of type of autotrigger and sector ( possible tools ...) • C. 5 ) ...(too preliminary ! For cosmic challange).... • comparison between computed autotrigger ( from TDC data) and • and all triggered data. ( trigger on defined angle range etc etc) • C. 6 ).....(too preliminary ! For cosmic challange)... • comparison between simulated cosmic triggered data and real data....

  6. What is necessary to implement for the above points : A) ( statistics ) Do the work !!! B) Checks that all parameters needed for the different points are automatically computed correctly i.e. check the robustness of their computation. - T0i ( Test Pulses hardware stability and computation algorithm .... TP computation must be performed with more care not yet satisfactory robust ) - T0 ( common T0 or tTrig) determination algorithmic developed already in Orca and quite robust. - geometry ( OK for MB3 , MB2 and some MB4 ; OK a private version for MB1 ...official MB1 and MB4 geo must be updated for wheel +1 and +2, for wheel 0 and -1 , -2 next geometry or next year problem) -Tmax: accuracy of 3% good for finding good efficiency tracks and associated hits. -T0 _event correction computation.

  7. I may organize the work for track reconstruction point B and Xcheck with trigger relation with point C B) Checks that all parameters needed for the different points are automatically computed correctly i.e. check the robustness of their computation. - T0i ( Test Pulses hardware stability and computation algorithm .... TP computation must be performed with more care not yet satisfactory robust ) - T0 ( common T0 or tTrig) determination algorithmic developed already in Orca and quite robust. - geometry ( OK for MB3 , MB2 and some MB4 ; OK a private version for MB1 ...official MB1 and MB4 geo must be updated for wheel +1 and +2, for wheel 0 and -1 , -2 next geometry or next year problem) -Tmax: accuracy of 3% good for finding with (good efficiency tracks and associated hits.Best measurement after t0_event correction -T0 _event correction computation..

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