sources and evaluation method of systematics based on data
DESCRIPTION
ScECAL Fermilab Beam Test analysis ScECAL Group Meeting Kyungpook National University, Daegu, Republic of Korea, March 29 th , 2012 Adil Khan, Satoru Uozumi , DongHee Kim. Sources and evaluation method of systematics based on data. Sources of systematic study - PowerPoint PPT PresentationTRANSCRIPT
ScECAL Fermilab Beam Test analysis
ScECAL Group Meeting
Kyungpook National University, Daegu, Republic of Korea,March 29th , 2012
Adil Khan, Satoru Uozumi, DongHee Kim
Sources and evaluation method of systematics based on data
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Sources of systematic study• Response calibration by MIP (uncertainty of calib. const)• Correction for temperature dependence• MPPC gain measurement by LED system• Electronics inter-calibration of low/high gain modes (uncertainty
of inter-calib factor)• MPPC saturation correction (effective num. of pixels)
Perform pseudo-experiments and see variation• randomly change parameter channel-by-channel, and perform pseudo-experiments.• Observe the variation (RMS) in terms of resolution and linearity.• Total 20 trials
1. Systematics from MIP calibration
Distribution of calib. constant and its statistical uncertainty for all the channels
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From stochastic term the Effect of systematic error is order of ~0.08% .
From constant term the Effect of systematics error is order of ~0.07%.
Deviation from linearity (%)
Effect slightly larger than stat. uncertainties.
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Deviation from linearity for all 20 trials and for all energy points stays within ±1.5%.
2. Systematic on Temperatur Correction
Distribution of temp. correction factor and its statistical uncertainty for all the channels
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From stochastic and constant term the Effect of systematic error is order of ~0.01% ….small.
Deviation from linearity (%)
Effect is comparable or slightly larger than stat. uncertainties.
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12GeV
20GeV15GeV 30GeV
32GeV
Deviation from linearity for all 20 trials and for all energy points stays within ±1.5%.
3. Systematic on Gain Calibration
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From stochastic term the Effect of systematic error is order of ~0.007% .
From constant term the Effect of systematic error is order of ~0.005% .
Distribution of gain calib. Constant and its statistical uncertainty for all the channels
Deviation from Linearity (%)
Effect is almost comparable or slightly lager then the stat. uncertainties.
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Deviation from linearity for all 20 trials and for all energy points stays within ±1.5%.
4. Systematic on Inter-calibration factor
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Distribution of int.calib. Constant
and its statistical uncertainty for all
the channels
From stochastic term the Effect of systematic error is order of ~0.009% .
From constant term the Effect of systematic error is order of ~0.009% .
Deviation from Linearity (%)
Effect is comparable to the stat. uncertainties.
10
Deviation from linearity for all 20 trials and for all energy points stays within ±1.5%.
5. Systematic on Saturation correction (effective num. of pixels (Npix))
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From stochastic term the Effect of systematic error is order of ~0.07% .
From constant term the Effect of systematic error is order of ~0.06% .
Distribution of Npix. For 72 strip
Deviation from linearity (%)
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• Effect is larger comparable to the stat. uncertainties.
Deviation from linearity for all 20 trials and for all energy points stays within ±1.5%.
Systematics study summary in terms of Energy Resolution and Linearity
Trials σstoch ± Δσstat± Δσsyst (%) σconst ± Δσstat± Δσsyst (%)
Systematics on Mip 13.03±0.03±0.08 2.42±0.01± 0.07
Systematics on Temp.Corr 13.03±0.03±0.01 2.42±0.01± 0.01
Systematics on Gain 13.03±0.03±0.01 2.42±0.01± 0.01
Systematics on InterCalib. 13.03±0.03±0.01 2.42±0.01± 0.01
Systematics on Npix 13.03±0.03±0.07 2.42±0.01± 0.06
total 13.03±0.03±0.12 2.42±0.01± 0.09
Summary & PlanSystematics (based on data) are evaluated
- For MIP calibration
- For Temperature correction
- For gain calibration
- Inter-Calibration correction
- For saturation correction
* Dominant uncertainty on deviation and resolution comes from uncertainty of effective num. of MPPC pixels and Mip Calibration, but still deviation stays within ±1.5%.
* Try to use gain runs for systematics on gain constant
* ScECALDigitizer to analyze MC events
* CALICE note for systematics. Will present in the upcoming conference ACFA KILC and KPS 23~27 april