Yuxi Pan University of California, Los Angeles FMS Data from Run11 Yuxi Pan University of California, Los Angeles FMS Data from Run11

Outline Data QA a. trigger performance, estimate luminosity b. polarization monitoring c. data quality Calibration precedure FMS Data from Run11

Trigger performance Number of triggers for each type FMS Data from Run11

Trigger performance Trigger rate v.s. time FMS Data from Run11

HT, cluster, jet patch,LED Typical events HT, cluster, jet patch,LED FMS Data from Run11

Polarization monitoring All data comes from these 20 fills --> analyze fill 15244 FMS Data from Run11

Polarization vs time, Fill15244 averaged polarization during data taking ~40% FMS Data from Run11

Data quality Selection: require FMS HT/Bsum/JP trigger set energy of either side of small detectors>20GeV or large detector > 12GeV 3.3M FMS triggers selected Find photon clusters with cone size 0.07 rad Choose 2-photon clusters in searching for pion/eta candidates FMS Data from Run11

Data quality: cluster energy FMS Data from Run11

Data quality: mass spectra Pseudorapidity ~(3.5,4.0) cluster energy ~(30GeV,60GeV) Estimate sig/bkg Pion 15000/12000 Eta 3000/15000 Xf~ 0.18 FMS Data from Run11

Data quality: mass spectra Pseudorapidity ~(3.5,4.0) cluster energy ~(60GeV,90GeV) Estimate sig/bkg Pion 500/1500 Eta 2000/3000 Xf~ 0.3 FMS Data from Run11

Data quality: mass spectra Pseudorapidity ~(3.5,4.0) cluster energy (90GeV,120GeV) Estimate sig/bkg Eta ~ 500/400 Xf~ 0.42 FMS Data from Run11

Data quality: mass spectra Pseudorapidity ~(3.0,3.5) cluster energy ~(60GeV,90GeV) Estimate sig/bkg Pion 2500/1200 Eta 600/1800 FMS Data from Run11

Data quality: mass spectra Pseudorapidity ~(3.0,3.5) cluster energy ~(90GeV,120GeV) pion mass shifted FMS Data from Run11

Data quality: Xf of pion & eta FMS Data from Run11

Data quality: detector occupancy Projected momentum vector on detector plane. pion candidates (2-photon clusters, abs(M12-0.135)<0.02,pair event FMS Data from Run11

Data quality: detector occupancy Pt vs pseudoradipity and Phi FMS Data from Run11

Data quality: spin sorted statistics pion yield as function of bunchid7bit yields from different spin states: b-up y-up: 2628 b-up y-down: 2751 b-down y-up: 2900 b-down y-down:2628 @abort gap: Yellow abort gap: 2 Blue abort gap:0 abs(M12-0.135)<0.02&&N12==2&&Z<0.7<abs(E12-60)<20 FMS Data from Run11

Data quality: spin sorted statistics Determine bXing offset from FMS event rates 20k events ,fill15244 measured fill pattern imported from cdev (wcm-datafill.dat) missing bunches of yellow/blue beam and abort gaps match fms rate if yellow bunchid7bit is shifted by 40, blue shift = 0 1st bunch of blue beam is colliding with 81st bunch of yellow beam at STAR FMS Data from Run11

Data quality: spin sorted statistics Determine bXing offset from FMS event rates missing bunches in blue beam account for the rest of the zero rates Eventually will move to offline spinDB to get corrected bXing id and spin bits FMS Data from Run11

Calibration Target constant Et gains: Gain correction factors calculated by pion mass iteration -->input to HV curves to get updated HV setting (see Thomas’ talk) FMS Data from Run11

Calibration Measure HV curve for each cell by LED events relative gain = exp (a0+a1*HV+a2*HV^2) LED events can also be used in monitoring gain variations, tube instability and actual gain corrections applied during calibration FMS Data from Run11

Calibration: LED events tube instability leads to poor HV curves and gain variations apply averaged HV curves FMS Data from Run11

Calibration: HV curves relative gain = exp (a0+a1*HV+a2*HV^2) Identify 3 types of bases: large cell/small cell PSU /small cell Yale bases Find average curve parameters for each of these 3 types FMS Data from Run11

Calibration: HV curves small cell curve parameters : a2 PSU bases a1 Yale FMS Data from Run11

Calibration: hit occupancy After applying new HV, we check the hit occupancy of each channel, and manually suppress hot cells FMS Data from Run11

Summary FMS Data from Run11