Commissioning data are taken with individual chambers TP data autotriggered Cosmic rays data (...
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Transcript of Commissioning data are taken with individual chambers TP data autotriggered Cosmic rays 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 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)
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)
With the data we have to yeld
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
B) Track reconstruction : not yet officially done on commissioning data but idea/tools are almost ready .
B. 1 ) systematic studies of resolutions for many/allchambers ( 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.
C) 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....
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.
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..