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ARCs cut definition for TEC modules. Javier Fernandez Menendez Institut für Experimentelle Kernphysik Karlsruhe University TEC meeting 14 th July 2004. ARCs TEC Data on the web. R1 : 31N + 19S from Hamburg R2 : 21S + 26N from Wien (problem in 2 APVs) - PowerPoint PPT Presentation
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ARCs cut definition for TEC modules
Javier Fernandez Menendez
Institut für Experimentelle Kernphysik
Karlsruhe University
TEC meeting
14th July 2004
Javier Fernandez (IEKP/UniKa) 2
ARCs TEC Data on the web• R1: 31N + 19S from Hamburg• R2: 21S + 26N from Wien (problem in 2 APVs)
• R3: 31 from Ka + 23 from Ham (x-check)
• R4: 26 modules from Zurich
• R5: not enough statistics yet in community…
• R6: 23 from Aachen
• R7: 24 from Strasbourg
Total: ~230 modules = ~2.5Gb of data in files
Javier Fernandez (IEKP/UniKa) 3
What cuts can be defined?
Pinhole Open
Healthy
Noisy
No statistical criteria here: tagged as bad channels anyway in DB
Statistical and graphical criteria
Not use APV border channels for cuts definition
Javier Fernandez (IEKP/UniKa) 4
Methodology
Noise for all modules from one geometry in one single APV mode
Javier Fernandez (IEKP/UniKa) 5
Methodology: an example
Border Channels:1,2, 128, 129, 255, 256, 384, 385, 511, 512
Next to border channels:127, 130, 254, 258, 383, 386
0.9 (~4
1.3 (~4
Symmetric 4cut from
mean for healthy region definition
Javier Fernandez (IEKP/UniKa) 6
Final result of cuts
1.3 (~4)
0.9 (~4)
Noisy channels perfectly tagged!!!
Still room for fluctuations
(4 = 99.95% probability)
Health
y regio
n
Javier Fernandez (IEKP/UniKa) 7
Summary of noise 4 cutsMode R1 R2 R3 R4 R6 R7
Mean 1.0 1.02 1.11 1.13 1.33 1.44
0.05 0.07 0.05 0.04 0.05 0.06
Plow 0.80 0.75 0.90 0.95 1.10 1.20
Phigh 1.20 1.30 1.30 1.30 1.55 1.70
Mean 1.37 1.40 1.54 1.59 1.70 1.80
0.05 0.08 0.07 0.05 0.06 0.06
Dlow 1.15 1.10 1.25 1.40 1.45 1.55
Dhigh 1.60 1.70 1.85 1.80 1.95 2.05Stereo and Normal R1 show ~equal noise values
Noise and cuts increase with R#
Javier Fernandez (IEKP/UniKa) 8
R2 modules problem
Lower average noise in central APVs
Effect not seen in other geometries with 6 APVs (R1 and R5)
Javier Fernandez (IEKP/UniKa) 9
It makes distribution not gaussian
Central APVs
Not-central APVs contribution
Javier Fernandez (IEKP/UniKa) 10
Not an apparent Wien test problemPIO PIOn
DIO DIOn
Wien Karlsruhe
R2 Module 26690
Javier Fernandez (IEKP/UniKa) 11
Not an apparent Wien test problemPIO PIOn
DIO DIOnWien Aachen
R2 Module 26697
Javier Fernandez (IEKP/UniKa) 12
Conclusions• There is a clear behavior difference between:
channels at the borders of the APV and channels next to channel border
• Noise cuts defined/confirmed for TEC mods. – Program mainAnalyzer (in DefAna package)
allows to redefine them in an easy way if needed and do extensive module analysis/comparisons
• Noise ~equal in stereo and normal modules
• Statistical gaussian method: first iteration
• 4 symmetric criterium maybe too tight ?
• But 5could be too loose in some cases…