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Standalone VeloPix Simulation. Jianchun Wang 4/30/10. Introduction. VeloPix performance after irradiation affects our current design. We want to create tools to study these effects.
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Standalone VeloPix Simulation Jianchun Wang 4/30/10
Introduction • VeloPix performance after irradiation affects our current design. We want to create tools to study these effects. • As a first step I modify the standalone simulation package and look at performance of pixel detector before irradiation. More features are to be added. • More sophisticated electric field based ISE-TCAD simulation. • Charge trapping. • Finite integration time. • Disclaim: Some of the electronics properties may be too good to be true. If it is need, more realistic parameters can be added to provide input to other studies. • Besides of many interesting features, I am particular interested in: • The charge collection efficiency will be reduced due to insufficient bias and/or charge trapping, etc. • Reconstruction of angled tracks are biased due charge collection inefficiency. • Non-uniform irradiation dose on a single chip/sensor makes it difficult bias. • … Jianchun Wang
Sensor and Electronics Properties • Silicon sensor • Thickness = 150 mm. • Charge carrier = electron • Pixel size = 55 mmx 55mm. • Full depletion voltage = 30 V • Bias HV = 50 V • Electronics • Charge collection efficiency = 100% • Noise = 100 e • Gain uncertainty = 10 % • Crosstalk between adjacent pixels = 0 • Threshold = 1000 e • Non-uniformity of thresholds = 0 % • ADC (TDC) bits = 8 • ADC range = 1000 – 24000 e • Non-linearity = 0 More realistic parameters will be added when they are available Jianchun Wang
Normal Incident Tracks Angle X = 0 Angle Y = 0 MPV ~ 11 Ke <N> =1.55 <N> =1.26 Above ADC range • Track: 20 GeVp. • Row X, Column Y • With VeloPix detector row and column have same pitches. Jianchun Wang
Eta Correction Pixel border Linear charge weighting ~75%, no charge sharing info available eta correction ~25%, very narrow after eta correction partially due to small portion Jianchun Wang
Tracks At Different Angles Tracks at 0 degree in Y/column direction For threshold = 1000 e, the best resolution is at 18 – 20 degree. Jianchun Wang
With Plane Tilted Tracks at 0 or 20 degree in Y/column direction There are more charge sharing in column direction, thus slightly less charge sharing for normal incident track in X direction. Jianchun Wang
Different Thresholds and Noise Threshold = 1000 e Noise = 300 e Threshold = 1000 e Noise = 100 e Threshold = 2000 e Noise = 100 e • Just to show how thresholds and noise affect the resolution. • With increasing of noise, the resolution is affected the most at small angles where the shared charges are less. • Threshold affects the resolution, especially for thin detector. Trim DAC in each cell may be necessary to reduce the non-uniformity of threshold, and thus reduce the overall threshold level. Jianchun Wang
Plan • Use more realistic electronics parameters from TimePix studies, and generate inputs for other studies. • Add irradiation dose dependent effects • More sophisticated electric field based ISE-TCAD simulation. • Charge trapping. • Finite integration time. • … • May integrate it to more general simulation, depending CPU consumption ( ~10ms /hit ). • More interesting studies. Jianchun Wang
Telescope Configuration Y Z X Lab frame XX XX YY YY Scint DUT 120 GeV proton beam a: –22 b: +22 b: 0, –10, –20 b: –22 a: +22 Jianchun Wang
Diamond HV Scan at Angle • What we want to extract from the testbeam for different bias HVs: • Total charge collected per particle hit in terms of MPV of the Landau distributions. • For a fixed threshold how the charge sharing information the detector can deliver, in terms of number of rows, or columns per particle hit cluster. • Spatial resolution. • Shift of spatial position measurement due to partial charge collection and tracks at angle. This can give us some ideas on effective depth, and charge trapping. • Status of each task: • Need more work on readout electronics gain and pedestal calibrations. It is difficult to compare the absolute charge before that. • Numbers of pixels per hit vs bias HV qualitatively agree with expectation. We need to obtain precise thresholds from bench test for MC simulation. Then we can have quantitative comparison to test our understanding. • Current resolution is not as good as expectation. Need more work on gain curve and telescope alignment. • Shift of center residual shows correct trend. It will be revised after the spatial measurement optimization. Jianchun Wang
Diamond Sensor Charge Sharing vs HV HV = -250 V Preliminary Preliminary Number of Columns per Cluster • Sensor rotated to ~ 20 in row direction. • More charge collected with higher bias HV till saturation. • Need more work on gain calibration to extract the absolute charge (MPV of Landau distribution). Number of Rows per Cluster Jianchun Wang
Diamond Sensor Residual Center vs HV Preliminary • Tracks are at ~ 20 with respect to normal of sensor plane in row direction. • Use the same set of telescope spatial configuration parameters. • With low bias HV, charges generated near readout electronics have more chance to be collected, equivalent to thinner effective sensor. Thus the residual center shifts. • In extreme case, the maximum possible shift ~ tan(q)*d/2 ~ 90 mm. Jianchun Wang
Diamond Sensor Charge Sharing vs Angle Preliminary Preliminary • Diamond sensor is biased at -250 V. • Sensor was perpendicular to beam, or rotated by ~10 & ~20 in row direction. • Gain and threshold of the electronics are different from that of HV scan. Jianchun Wang
Charge Distributions Silicon Telescope sCVD DUT Good Plane 0 Weird Plane 4 Bad Charge (Ke) Plane 8 Charge (Ke) Jianchun Wang
Problem with Diamond Gain Calibration sCVD DUT MP=9.8 Charge (Ke) Charge (Ke) MP=22.7 • Double peaks belong to different cluster sizes, suggesting there is offset issue. • The difference between two peaks is too big. • The offset would have to be ~ –13 in order to have the same MP. And the MP would be ~ –3. So this is not a correct hypothesis. Charge (Ke) Jianchun Wang
Diamond Residual Distribution s = 46.7 mm s = 30.5 mm Xrecon – Xtrack (mm) Yrecon – Ytrack (mm) • Tracks are at ~20 in X direction wrt the diamond. • Charging sharing information is not fully used yet due to calibration issues. • In comparison 100/12 = 28.9, 150/12 =43.3. Jianchun Wang
Summary • We had tested radiation hard sensors: diamond, MCZ silicon & 3D. • Some interesting results are produced from diamond test. • Gain calibration somehow becomes bottle neck. • We provide offline analysis and alignment program for this testbeam system as our promised contribution. • We may use the telescope to test our own sensors. Jianchun Wang