Monte Carlo simulation of the DIRC prototype

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Presentation transcript:

Monte Carlo simulation of the DIRC prototype 03/21/06

Outline Main features of the program Charge sharing implementation Comparison of simulated data with test beam data

Program overview All important features have been added (main parts of the DIRC prototype, refractive indices of materials, probabilities of reflection on the mirrors, physics, etc.) Three different types of PMTs (Hamamatsu 8500 and 9500, Burle) Two different configurations of PMTs

The DIRC prototype

Generation of photons Up to ~1000 cherenkov photons (about 300 transported)

Detection of photons

Two configurations Configuration Two Hamamatsu 8500 in slot 2 and 3 Three Burle PMT in slot 4, 5, and 6 Five Hamamatsu 9500 (estimation for best position)

Cherenkov Ring visualization Configuration 1 Configuration 2

Charge sharing implementation

Main features of charge sharing It depends on the position of the hit inside the pad and its distance from the neighbor pads. Up to 4 (6) pads can be involved in charge sharing.

Pad edge Charge Sharing Range Burle MCP 50% level 10% level x position (mm) ~1mm range for drop to 50% relative hit probability ~2mm range for drop to 10% relative hit probability

Distance dependence Requirements: On the edge of pad– 90% probability of the hit in neighbor pad 1 mm far from the edge – 50% probability of the hit in the neighbor pad 2 mm far from the edge – 10% probability of the hit => requirements for error function Same implementation for all PMTs

Charge sharing division of Hamamatsu 8500 & Burle

Charge sharing of Hamamatsu 9500 2 mm 8 mm 2 mm 3 mm

Charge sharing summary for configuration 1 Total hit Percentage 2 pads 147542 33.3% (16.7)% 3 pads 46157 10.4% (6.9)% 4 pads 15132 3.4% (2.6)% Total 208831 47.1% (26.2)%

Charge sharing summary for configuration 2 Total hits Percentage 2 pads 523322 51.5 (25.7) 3 pads 115826 11.4 (7.6) 4 pads 34179 3.4 (2.5) 5 pads 1065 0.1 (0.1) 6 pads 48 5x10-5 Total 674444 66.4 (35.9)

Conclusion Charge sharing does not change the shape and occupancy of the Cerenkov ring It creates about 26% (36) of “fake” hits in configuration 1 (2) and about each second (two of three) cherenkov photon detected causes charge sharing

ThetaC resolution from pixels Full Monte Carlo simulation Assignment of average cherenkov angle for each pad (each hit within one pad has the same cherenkov angle) Single gauss fit

ThetaC from pixels (cont.) σ PEAK 1 PEAK2 PEAK 1 & 2 Slot MC ch. sh without Run 12b 14 ch. Sh. 2 10.8 9.7 10.9 11.6 11.4 10.1 12.1 11.7 9.9 3 10.7 9.2 9.4 10.4 9.6 9.8 10.6 4 8.1 10.2 8.8 7.8 11.3 11.5 9.1 8.0 5 13.5 13.8 15.4 16.7 6 11.8 11.2 13.4 11.1 13.1 13.0 Configuration 1 (two hamamatsu 8500 + three burle)

ThetaC from pixels Sigma (mrad) PEAK 1 PEAK2 PEAK 1 & 2 Slot MC ch.sh without ch. sh ch. sh. 2 11.1 10.1 10.8 10.0 3 8.4 7.3 8.1 7.2 7.4 4 8.7 7.8 8.6 7.9 5 7.7 5.8 5.9 6.0 6 13.4 12.3 12.4 11.6 13.2 12.2

Comparison of simulated data with test beam data

Location of the Cherenkov ring and multiplicity of hits

2 all slots 4 3 5 6

Hit time Glue reflection Hit time Peak 2 Peak 1

Overall multiplicity of hits per event

All slots 2 4 3 5 6

Conclusion The flexible model of the DIRC prototype with most important features was created (different configurations of PMTs, different positions, different particles, etc.) It makes possible to generate direction cosine and cherenkov angle assignments.

Conclusion (cont.) The output file can be converted into the format of DIRC prototype output file, so it is possible to analyze simulated data with the analysis software It was written manual which explains MC implementation.