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This study analyzes Polya functions based on cosmic data, charge division between pads, and digitization transfer for simulation. Simulation and data analyses are conducted to obtain charge distribution and factors for calibration.
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The Detector Efficiency and Pad Mulitiplicity in Prototype Simulation (IV) R.Han 2010.06.21
Outline • Reset Parameters in Polya Function Based on Cosmic Data • Reset Function of Induced Charge for Charge Division between two Pads • Transfer Digitization from Root Marco to MARLIN Based
Polya Function • Motivation: Get the Charge Distribution from Simulation(only deposited energy in Simu) • At high fields, the avalanche distribution is described by a Polya function ? Average multiplication factor on the gap s K and bar(N) are the input for simulation. Get from data!
Get Factor K and bar(N) from data Cosmic Data Small Chamber Trigger by Sci, Collected all the Pad’s signal Amplitude Vs Time (take point every 20ns, total have 2000points) Vmin >-0.002 as noise 7199 -> 3818 events Select the right avalanche range Get rid of background Baseline: The average of first 300 points And last 500 points the right avalanche range Average+-3sigma Vi=Vi-baseline
Get Factor K and bar(N) from data The Collected Charge Distribution Cosmic Data, Small Chamber
Charge Division For Pad Multiplicity S3 S2 1.0cm d S1 From « Induced Charge Distribution in Proportional Detectors » by E.Mathieson
Pad Multiplicity Vs Threshold S3 S2 1.0cm d S1 Simulation: d=0.09 Check Data : Do Cosmic test Check the Multi Defination at Data Check Simulation: The Input Function Definition of Pad…
Transfer to Marlin • Run Mokka • events 1 GeV Muon for SDHCAL • Run Marlin • Add the induced charge to Marlin • Add the Pad Multi to Marlin • The Charge Division not yet…
Next Step • Charge Division: do some cosmic test and analysis beam test data, • Learn run Pandroa and figure out to do something with it