Saturation in V-calib LED scans CALICE AHCAL – Main Meeting 2010/07/05 Jaroslav Zalesak analysis still in progress but gives global results FNAL & CERN.

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Presentation transcript:

Saturation in V-calib LED scans CALICE AHCAL – Main Meeting 2010/07/05 Jaroslav Zalesak analysis still in progress but gives global results FNAL & CERN Vcalib data Temperature corrected results Analysis improvement (fit ranges) New data just being measured (W-AHCAL) CALICE - HCAL1Jara Zalesak, DESY, Hamburg

LED V_calib scan Runs: AhcPmLedVcalibScan FNAL 2008 & 2009 CERN 2007 periods Fitted 10 last points Improvement (Sliding fitting window) Simple Exponential formula for saturation: F(ADCbins) = N 0 * [1- Exp(-(X+C)*B) ] X in Vcalib (DAC) bins Parameter N 0 -> ‘Saturation’ (Slope = B * N 0, Shift = -C) CALICE - HCAL2Jara Zalesak, DESY, Hamburg

Calibration in pixels Simple calibration formula: Sat(pixel) = Sat(ADC bins) * IC(run) / Gain(run) CorrGainT = GainConst[Module][Chip][Channel] + ΔG ΔG = GainSlope[Module][Chip][Channel] * ΔT ΔT = VcalibRunTemp[Module] - GainRunTemp[Module][Chip][Channel] Calibration constants (GainConst+GainSlope) and Temperatures taken form DB with tool “dumpCalib” (2 sets of calib runs for FNAL & CERN, resp.) CALICE - HCAL3Jara Zalesak, DESY, Hamburg

Procedure Good runs: FNAL 144, CERN 66 (full Vcalib range) Good events - curves: – Tags: graph, fit function, Chi2(Ndf !=0) available – Calibration constants, slopes & Temperatures exist in DB for ch. – No saturated curves: no ADC saturation + smooth increasing fce – Fit parameters lay in (wide) ranges: saturation, shift, slope, errors – At least one good fitted curve among run in the groups  FNAL: 6361 & CERN: 6211 channels (of tot. 7608) sample runs # & #330710: 3783 & 3512 ch CALICE - HCALJara Zalesak, DESY, Hamburg4

Performance & Stability CALICE - HCALJara Zalesak, DESY, Hamburg5 144 fits (FNAL) for each channel for ‘good’ runs similar behaviour (variations in y-axis scale factors) application of Cal &T to have unique curves

Results I: ADCbins,Pixels,PixelsT… CALICE - HCALJara Zalesak, DESY, Hamburg6 FNAL ADC bins FNAL Pixels FNAL TempCorr PixelsTCERN TempCorr PixelsT

CALICE - HCALJara Zalesak, DESY, Hamburg7 Results II: Temperature correction Temperature corr RMS = 0.7% RMS = 2.7%

CALICE - HCALJara Zalesak, DESY, Hamburg8 Comparison I: FNAL versus CERN - 2D ADC bins Pixels PixelsT % of PixelsT/1156 Correlation 0.44

CALICE - HCALJara Zalesak, DESY, Hamburg9 Comparison II: FNAL versus CERN - 1D Pixels FNAL Pixels CERN Pixels Tcorr FNAL Pixels Tcorr CERN Temperature corr - 0.6% - 0.1% - 1.0% - 0.4%

CALICE - HCALJara Zalesak, DESY, Hamburg10 Comparison III: FNAL-CERN Assymetry Pixels: Mean=-0.6% σ = 2.3% Pixels Tcorr: Mean=-0.0% σ = 2.2% Peak 82.9%, σ=5%

OK (13) ADC satureted (5) LED saturated (16) Strange (4) CALICE - HCAL11Jara Zalesak, DESY, Hamburg Simple classification of (problematic) modules

CALICE - HCAL12Jara Zalesak, DESY, Hamburg Sliding fitting window (10 good points) Saturated channels excluded

CALICE - HCAL13Jara Zalesak, DESY, Hamburg Sliding fitting window (10 good points)

CALICE - HCAL14Jara Zalesak, DESY, Hamburg Sliding fitting FNAL vs CERN Results consists at 82.5%

CALICE - HCAL15Jara Zalesak, DESY, Hamburg Sliding fitting FNAL vs FNAL Results consists at 83% Difference 0.2%

Conclusion CALICE - HCALJara Zalesak, DESY, Hamburg16  Analysis gives global results for SiPM saturation curves over all available PmVcalibScan runs from TB at CERN & FNAL  Performance is improved with averaging of the results over all runs from both periods up to 6360 (84%) ch. after sel. criteria  The calibration and Temperature correction seem to work very well and improve measured results  Both data sets FNAL & CERN give consistent results Most probable value over all channels at level of 83% of 1156px  Still remaining outliers channels which are not fitted properly  After applying sliding fitting range get similar results in global

ToDo & Issues  The measurement of the saturation curves is being done with re-commission of PPT for W-AHCAL 2010 tests at CERN  Much more data points taken for curves to cover all ranges (154 each 250 Vcalib bins)  some data are already stored, need to update DB and do gain calibration CALICE - HCAL17Jara Zalesak, DESY, Hamburg

BACK UP CALICE - HCALJara Zalesak, DESY, Hamburg18

CALICE - HCAL19Jara Zalesak, DESY, Hamburg Sliding fitting CERN vs CERN Results consists at 82.6% Difference 0.1%