Adil Khan Kyungpook National university Korea-Japan Joint ScECAL Group Meeting kobe University Japan...
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Transcript of Adil Khan Kyungpook National university Korea-Japan Joint ScECAL Group Meeting kobe University Japan...
FNAL BEAM TEST ANALYSIS
Adil Khan
Kyungpook National university
Korea-Japan Joint ScECAL Group Meeting
kobe University Japan
3rd September 2010
WORK LAYOUT
Introduction Prototype Beam Test Layout
Beam Test Preliminary Results of BT 2008 Preliminary Results of BT 2009
Plan
Scintillator_ Based Ecal
ScECAL
The 2nd ScECAL ProtoType• The 2nd prototype is 4 times larger
than the DESY BT module. (18 x 18 cm, 30 layers)• Fully adopt with extruded
scintillator.• Precise positioning of MPPC and
Fiber• Monitoring system• MPPC : 2160 readout channel.
BEAM TEST
Extensive test beam campaign
•FNAL: 2008, 2009• Wide variety of beam energies and particle species• 1 GeV to 60 GeV• muons, e±, π±
• ScECAL, AHCAL, TCMT Technologies
PEDESTAL DATA CHECK 2008
Using Gaussian Function.
Fitting Function : gauss->µped ± 3σped
Collect the Pedestal mean and Sigma Values of all the Run numbers
use the pedestal data for the MIP Calibration constant
SIGMA AND MEAN VALUES VS RUN NUMBER
Total 120 Run Number were checked.
Pedestal sigma and meanValues from the fitting showsThe stability of pedestal Distribution.
MIP SELECTION
Muon Event Recorded in Online Monitor
Strip =j
Layerx !=i
Event selectionExample: For X-Layer i, Strip j→Check a hit of the strip j on otherX-layers excepting i .(total 14 layers)MIP event Hit Definition:
ADC >ADCped + 3σped
Fitting MIP Distribution• Gaussian convoluted landau
distribution function
MIP SIGNAL 32GEV FOR 2008 DATA
Chi2/NDF Result from Fitting
Fitting all the channels• Using Gaussian Convoluted-Landau Function
The fitting for the entire channel work well Even the bad channels.
MIP CALIBRATION CONSTANT 2008
MIP Response Mapping
• The average of ADC Counts/MIP ~160 and RMS is ~31•The fluctuation is about 20%, which is coming from variation of the Light yield.
TEMPERATURE CORRECTION SCECAL TEMP VS HCALM3TEMP
9
1
2 3 4
Splitted into 4 parts , in order to makethe Temp distribution for linear Fit
hCALM3Temp(C)
ScE
CA
LTem
p(C
)
TEMPERATURE VARIATION OF MIP CONSTANT
10
Total 16 MIP runs were used to get the temperature correction factor .
The variation of temperature difference between MIP runs is about ~ 1.4 0C This shows temperature Effect seems to be very small or almost negligible
Correlated Temperature=P0* hCALM3 + P1
MipConst and Temperature Obtained Run by Run.
TEMPERATURE COEFFICIENT
11
Temp(C)
Mip
Const
Used Linear fitting in Order to get the Temperature Correction Factor.
MipConst and corr-Temperature Obtained Run by Run for every strip. Temperature correlation depends on channel by channel
ENERGY DISTRIBUTION OF EACH POINT
12
3GeV
16GeV12GeV
25GeV 32GeV
6GeV
Without Temp CorrectionWith Temp CorrectionWith 2009 Temp data Correction
After using Temperature Correction Factor, the result is almost same, No significant difference. But2009 data temperature correction factor shows some change.
The wide shift in temperature is due to the damage in air conditioning system during 2009 data taking.
RESOLUTION AND LINEARITY THE LINES ARE THE FITTING RESULTS WITH THE FUNCTION OF :
13
EE stochasticconst
1
Energy Deposit in ScECAL (MIPS)
# of
cou
nts
1/sqrt(E)
Sig/E
In terms of using Temperature Correction factor seems not remove the large the large constant term for 2008 data
3 GeV6GeV
12GeV
16GeV
25GeV 32GeV
Without Temp CorrectionWith Temp CorrectionWith 2009 Temp data Correction
LINEARITY DEVIATION
14
The Deviation from Linear behavior of the energy spectrum is less than 5%
As, the temperature correction doesn’t show any big difference
First look into 2009 dataMip constant Correlation
Checked in similar way the 2009 data Mip constant correlation between 2009data Runs at low temperature and high Temperature Runs with 2008 data.
Plan & Schedule
Short Term Analysis (1~2 weeks)
• Proceed with the 2009 data for the Resolution, Linearity..
Detail Analysis (~2 months)
• Optimize all types of selection cut (Mip, electron)
• Temperature Correction for 2009 data
• Saturation Correction
• Geant4 Simulation for beam test
Evaluation of Systematic Uncertainty (1~2Months)
BACK UP
PEDESTAL CHECK 2009 DATA
CHI2/NDF RESULT FROM FITTING
19 Fitting all the channels• Using Gaussian Convoluted-Landau Function
MuonRun 32GeV, Layer1 2009 dataMip Distribution of High Temp Runs Mip Distribution of Low Temp Runs
20
Chi2/NDF Result from Fitting
Chi2/ndf of High Temp Runs
Chi2/ndf of Low Temp Runs
MIP CALIBRATION
MIP Calibration Constant
Data Entries Mean RMS
Low Temp Runs09 2160 143.7 27.87
High Temp Runs09 2160 178.2 32.69
2008 Mip Const 2160 160.8 31.39
Euquation Used for Temp Effect :
Esum += (slope*Nominal Temp+offset) /(Slope * HM3Temp + offset)*En
Tnominal = 25 0C