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Jin Huang M.I.T. For Transversity Analysis Meeting Jun 18, 2009 @ JLab
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Why do synchronization? Technical : One way to impalement - TSelector Application Beam Trip Cut BCM Stability Check w/ Beam Trip Cut Dead Time w/ Beam Trip Cut Synchronizing Scalar Insertion Coin Trigger: LT/LT Asym with/without beam trip cuts Other Trigger Dead Time w/ Beam Trip Cut Farm Production Summary Coincident Timing Update Other Transversity Analysis Meeting Jin Huang 2
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Asymmetry Calculation requires two parts of information: ◦ L1A Events Counts (with PID and Kinematics Cut) ◦ Scalar Sums (bcm … ) If part of data should be cut away (ex. Beam trip), then Events & Scalar should be cut for exactly same period Transversity Analysis Meeting Jin Huang 3
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3 Forms of scalar data insertion 1.Each Event based (DL.*) automatically synchronized to L1A events Limited information major trigger gated/ungated bcm u/d3 clocks 2.Every 100 event based Full data set Non-syncronized to each event 3.Every 2s based Full data set Slower comparing with #2 Transversity Analysis Meeting Jin Huang 4
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Upgrading my old beam trip code producing raw asymmetry to do scalar synchronization Automatically generated class base using T->MakeSelector() Automatically loop through whole root file, flexible process: full c++ support Fastest way to go through a root file (backbone for Draw & Scan) Require lots of coding with carefulness Not for doing simple analysis Transversity Analysis Meeting Jin Huang 5
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~10% of our data is taken during beam trip ◦ Fast Drop; Slower climb ◦ Even slower PID lock back to equilibrium current Transversity Analysis Meeting Jin Huang 6 TripRamp Norm Lock Before Cut Scalar Insertions
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Transversity Analysis Meeting Jin Huang 7 Although there are Bad Days Average Runs
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Transversity Analysis Meeting Jin Huang 8
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Transversity Analysis Meeting Jin Huang 9 This Drop persists
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Difference change for different Spin Drift with time? Transversity Analysis Meeting Jin Huang 10
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Dead time asymmetry is addable correction to physical asymmetry ◦ Comparing with polarization asymmetry, which is multiplied to physical asymmetry, dead time asym is more important Dead time change from different beam condition DAQ LiveTime = 1-DeadTime = N Events /(N trigger /Prescale) Studied with ~70% of our production data Transversity Analysis Meeting Jin Huang 11
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Live time -> 84~90% after beam cuts Transversity Analysis Meeting Jin Huang 12
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Live time is higher during trip and ramp Transversity Analysis Meeting Jin Huang 13
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Seems stable Transversity Analysis Meeting Jin Huang 14 SSA DSA
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Transversity Analysis Meeting Jin Huang 15
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Transversity Analysis Meeting Jin Huang 16
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Transversity Analysis Meeting Jin Huang 17
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Coin Trigger DT is 84%~90% Beam cut improve stability of live time by a factor of ~2 Overall SSA LT Asym is ~100ppm (small) Single Run SSA LT Asym ~0.1% DT Correction half-pair by half-pair is doable but not necessary Transversity Analysis Meeting Jin Huang 18
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the majority of our data are replayed LHRS TOF calibration from Chiranjib (time walk is not included) final BB MWDC calibration from Xin Scalar variable updates from Kalyan BB Gas Cer variables are added into DL.* following requests from Joe Target Spin Azimuthal Angle theta_s, phi_s are calculated Transversity Analysis Meeting Jin Huang 19
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600GB increase in disk space/cleaning of old files -> More free space ◦ ~670 (100%) 1M event top quality production runs from my list. ◦ ~230 (50%) flag-15 production runs from database It took 48hour to replay on farm with a parallel processing of 60 runs at the same time. Root files were stored at ◦ Temporary Data Disk Directory: /w/halla/transversity/disk3/ProductionROOTfiles ◦ Permanent MSS Tape Directory: /mss/halla/e06010/ProdReplay2 Transversity Analysis Meeting Jin Huang 20
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Y axis is number of events passing a “have track” cuts Transversity Analysis Meeting Jin Huang 21
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Pion resolution drop from ~400ps -> ~360ps Limit by BB side (~300- ps) Transversity Analysis Meeting Jin Huang 22
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