Bronson Riley Edralin M.S. Thesis and Final Examination October 11, University of Hawaii at Manoa Department of Electrical Engineering
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1 DESIGN AND PERFORMANCE OF AN AUTOMATED PRODUCTION TEST SYSTEM FOR A 20,000 CHANNEL SINGLE-PHOTON, SUB-NANOSECOND ELECTRONIC READOUT FOR A LARGE AREA MUON DETECTOR Bronson Riley Edralin M.S. Thesis and Final Examination October 11, 2016 University of Hawaii at Manoa Department of Electrical Engineering 1
2 Outline Introduction The KLM Readout Electronic System Design of an Automated Production Test System The readout system TARGETX ASIC Test Setup Software Overview Characterization of the Readout System Summary Acknowledgements What am I working on today? 2
3 Introduction The Belle experiment is a particle physics experiment conducted by the Belle Collaboration, an international collaboration of more than 500 physicists and engineers at the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan. The upgraded SuperKEKB particle accelerator has a 1.86 mile (3km) circumference Fig 1: SuperKEKB particle accelerator ring. 3
4 Introduction Think of Belle II as a digital camera that is about 5-stories high Instrumentation Development Laboratory (IDLab) at University of Hawaii at Manoa (UH Manoa) is contracted to design and verify the electronics for two important sub-detectors Imaging Time-Of-Propagation (itop) sub-detector KL and Muon (KLM) sub-detector, where KL is the long-lived kaons Readout system for KLM Fig 2: Image of Belle II spectrometer under upgrade in Tsukuba hall in Japan. The KLM readout system resides as noted in image. 4
5 Introduction Fig 3: People involved in this work. 5
6 The KLM Readout Electronic System In order to get 20,000 readout channels, 136 modules are required for the KLM detector where each module covers up to 150 scintillator bars or channels, each reading an MPPC. Each KLM Readout module, designed by Xiaowen Shi, consists of: 1 KLM System Control and Readout Module (SCROD) Rev A TARGETX Daughtercards (TXDC) 1 KLM Motherboard Rev C 1 KLM Ribbon Header Interface Card (RHIC) Fig 4: The KLM Readout Module. 6
7 TARGETX Waveform Sampling/Digitizing ASIC Table 1: TARGETX ASIC, designed by Dr. Gary Varner, was fabricated in TSMC 250nm process. Channels per ASIC 16 Sampling Rate 1 GSPS Sampling Array 2 x 32 cells Storage Array 512 x 32 cells Input Noise 1-2 mv Signal voltage range 1.9 V LVDS sampling clock speed 16 MHz LVDS digitization and readout clock 64 MHz (16 chan) Single Sample Resolution (bits) Fig 5: TXDC (top) and TARGETX ASIC die (left). The ASIC is encapsulated in 128 LPQF package soldered on TXDC board 7
8 TARGETX Operation Fig 6: Block Diagram of the TARGETX ASIC operation 8
9 TARGETX Timing Diagram Fig 7: Timing Diagram for a Calibrated TARGETX ASIC during 1 GSPS data acquisition. 9
10 TARGETX Calibration Algorithm for Calibration of TARGETX Timing Registers: Control function generator to inject 40MHz sinusoid with 600mVpp amplitude and 1.5V offset. Readout and construct waveform X Scale amplitude of waveform X to unity. Construct an expected sinusoid E by sampling a 40MHz sinusoid with unity amplitude at 1GSPS Use matched filter to achieve synchronization for fitting with normalized waveform actual waveform X and expected waveform E Plot synchronized waveforms X and E onto same plot and call it Fitting Plot residuals for X and E Calculate modified Chi-Squared Test score of X and E per sample: Use average of modified Chi-Squared Test scores with multiple events to determine optimum bias register value. Minimum score represents the optimized register value. 10
11 TARGETX Calibration The KLM Readout Electronic System: Fig 8: Optimization sweep of SSToutFB register Fig 9: Sinusoid fit performed. 11
12 Design of an Automated Production Test System Fig 10: Production testing flow. Pre-Testing stage Quick test for shorts of ASICs individually before sending them to be assembled on a daughtercard Motherboard Production Testing stage Extensive tests including noise scan, optimize bias, sine scan, and more. RHIC Production Testing stage Testing done in a custom crate. Systematic tests include monitoring temperatures and currents. Trigger scan is also performed Fig 11: Test setup for Motherboard Production Testing. 12
13 Design of an Automated Production Test System Fig 12: Software Overview 13
14 Design of an Automated Production Test System Fig 13: GUI System section. Fig 14: GUI Tests section. 14
15 Design of an Automated Production Test System Serial Numbering and Logging System: KLM Readout Module KLMS_0000 Motherboard Rev C MB_C0000 SCROD Rev A5 S_A5000 RHIC Rev C RHIC_C0000 TXDC 0000 Fig 15: GUI Configuration section. Fig 16: GUI Logs section. 15
16 Design of an Automated Production Test System Fig 17: Displaying the calibrated SSToutFB register values saved in PostgreSQL database using command line. Remote PostgreSQL database system Serial Numbers of electronics are saved Summary of the results from tests such as optimize bias, sine scan, and pedestal test are saved. Fig 18: Data Tables in PSQL. 16
17 Pedestal Scan Characterization of Readout System Routine for obtaining pedestals: AC Coupled Input 1. Turn OFF function generator 2. Generate pedestals 3. Turn ON function generator DC Coupled Input 1. Turn ON function generator 2. Change amplitude to 1mVpp (smallest) 3. Generate pedestals 4. Change amplitude to default Fig 19: Pedestals of a waveform. Since TARGETX incorporates the Wilkinson ADC architecture for digitization, there is an offset for the digital value called ADC count. Average of the pedestals per sample are recorded and subtracted during data collection 17
18 Linearity Test Characterization of Readout System Used to verify its linearity TARGETX dynamic range should be roughly 1.9V - 2V Linearity test performed to also extract transfer function from ASICs with Serial #: 2167: Voltage [V] = (1/1461)*(ADC Count) 1471: Voltage [V] = (1/1310)*(ADC Count) 1754: Voltage [V] = (1/1340)*(ADC Count) 2060: Voltage [V] = (1/1546)*(ADC Count) 2289: Voltage [V] = (1/1434)*(ADC Count) Fig 22: Linearity test of the TARGETX ASIC. 18
19 Linearity Test Characterization of Readout System Fig 23: Linear range of TARGETX ASIC. Fig 24: Residuals from plot on left. 19
20 Noise Analysis Characterization of Readout System Fig 20: Input noise histogram for a single channel. Approximately 1mVrms noise found. Fig 21: Input noise for a single channel. Errorbar plot of mean and standard deviation of each sample. 20
21 Waveform Quality Characterization of Readout System Fig 26: Residuals plot. Fig 25: A sinusoid fit performed. Fig 27: Residuals Errorbar plot with mean, min and max. 21
22 Timing Resolution Analysis Characterization of Readout System Where: tzero: t1: A1: t2: A2: zero crossing time value is 1st time value is voltage value of 1st time value is 2nd time value is voltage value of 2nd time value Fig 28: Use zero crossing algorithm equation to assist in calculating the period of a sinusoid. 22
23 Timing Resolution Analysis Characterization of Readout System Input 20MHz sinusoid 600 mvpp amplitude 1.5V Offset 4928 Events Initial results did not represent true timing error between samples. Therefore, some timing corrections are needed. Fig 29: Before timing corrections, roughly 200ps timing resolution was measured. 23
24 Timing Resolution Analysis Characterization of Readout System Fig 30: Period Residuals vs Event Number Fig 31: Period Residuals vs Starting Position 24
25 Timing Resolution Analysis Characterization of Readout System Fig 32: Period Residuals vs Event Number Fig 33: Period Residuals vs Starting Position 25
26 Timing Resolution Analysis Characterization of Readout System Fig 34: Before timing corrections 83ps timing resolution achieved! Fig 35: After timing corrections 26
27 Production Testing Characterization of Readout System Some useful summary plots for determining pass or no fail: Motherboard Production test: Pedestal scan Sine scan Examines quality of fit for all windows of chip RHIC Production test: Trigger scan Fig 36: Used to check for unexpected pedestal offsets or any shorts. 27
28 Production Testing Characterization of Readout System Fig 37: Fit of a sinusoid with ASIC not optimized. Sine scan determines bad fit Fig 38: Failed sine scan. 28
29 Production Testing Characterization of Readout System Fig 39: Fit of a sinusoid with ASIC optimized. Sine scan passed after successful optimize bias Fig 40: Passed sine scan. 29
30 Production Testing Characterization of Readout System Trigger scan useful in debugging RHIC board, interconnect cables and ASIC triggering Fig 41: Initial Trigger scan before corrections are not useful. Fig 42: Trigger scan after corrections are useful for verifying triggers from ASICs. 30
31 Summary Hardware verification and testing for all 20,000 channels of the KLM sub-detector for Belle II for superkekb particle accelerator in Japan is complete. Electronics are installed in Japan by Dr. Isar Mostafanezhad. Further optimization can be done to obtain the TARGETX s full dynamic range. Debugging for readout in its new environment must be done. Networking issues. Big data with data concentrator. Much more development needed in firmware and software. Table 2: Production test yield summary. Board Pass Fail Pass Percentage SCROD % Motherboard % TARGETX ASIC % RHIC % 31
32 Acknowledgements Prof. Gary Varner Collaborators at PNNL, KEK, Indiana University and Virginia Tech Staff and Students of Instrumentation Development Lab (IDLab) at UH Manoa Dr. Isar Mostafanezhad Xiaowen Shi Chris Ketter Harley Cumming Dr. Andrej Seljak Peter Orel Dr. Oskar Hartbrich Prof. Galen Sasaki Prof. Tep Dobry Professors of UH Manoa EE Dept. KLM Production Testers Denise Aliny James Bynes Julien Cercilieux Alfredo Gutierrez (Wayne State) Vani Kalapciev Khanh Le Weng Lam Sio Eduardo Casimiro Sanches Tanizaka (University of Sao Paulo) Cara Van De Verg Vihtori Virta Dr. Xiaolong Wang (Virginia Tech) Mengyuan Jerry Wu Kunliang Xiao 32
33 Acknowledgements My wife Joann Edralin for supporting my dreams and aspirations to become the best I can be My family My parents Francine and Patrick Edralin My brothers Chad, Kyric and Royce Edralin for who I am today And Viewers Like You! 33
34 What am I working on today? Automated test for the high voltage assemblies of itop sub-detector in Japan - DONE Automated Production test for electronics of KLM sub-detector in Japan - DONE Automated Production test for electronics of minitimecube project at NIST in Maryland - DONE Picosecond 5 Prototype (P5P) Waveform Sampling/Digitizing ASIC - Currently working on Fig 43: PSEC4 die as an example GSPS 34
35 35
36 Backup 36
37 KL and Muon (KLM) sub-detector Outer 13 layers of Barrel KLM part re-uses resistive plate counters (RPC) Option not possible for Endcap KLM and innermost layers of Barrel KLM due to: elevated background radiation in Belle II RPC dead time Scintillator KLM layer made by inter-spread of metal plates and plastic fiber scintillators. For example: kaon interacting with metal plates will produce a hadronic shower Shower of charged particles produces scintillation light in plastic scintillating fibers Wave Length Shifters (WLS) guide photons to photon detectors For photon detection, Solid State Silicon Photomultiplier (SiPM) operating in Geiger mode were chosen. Fig 44: KLM Barrel detector. Fig 45: KLM Barrel detector. 37
38 Silicon Photo Multiplier (SiPM) device Limited space and strong magnetic field do not allow use of conventional photo multiplier tubes Conventional was preferred since they don t have background signals or leakage currents Device is composed an array of 667 pixels, each 50 x 50 um size, in a 26 x 26 pixel array When a reverse bias voltage is applied slightly higher than breakdown voltage to device, electric field in pixel becomes high enough to cause a discharge even with single photo-electrons. Fig 46: Spectral Response. Multiple pixels allow photon counting. Fig 47: Hamamatsu S C MPPC Fig 49: Common electrical wiring diagram for SiPM. Fig 48: MPPC pixel array and quenching resistors. Fig 50: Response to mostly single photons. 38
39 Specifications Table 3: Summary of KLM Readout Module specifications. 39
40 TARGETX SSToutFB Fig 51: Driven by SSTin (LVDS) input, the Timing Generator provides all timing signals necessary. 40
41 TARGETX Sample Rate Fig 52: VadjN value can be adjusted to select the sampling speed of the TARGETX. 41
42 TARGETX Sampling Fig 53: Starved Inverter Chain provide sampling delays for sampling capacitor arrays. 42
43 Instrument Control Fig 54: Source code snippet for initialization part of Rigol DG4162 Waveform Function Generator library class. Fig 55: Source code snippet for body part of Rigol DG4162 Waveform Function Generator library class. 43
44 Parallel Processing Fig 56: Source code snippet for writer part. Fig 58: Source code snippet for body part. Fig 57: Source code snippet for reader part. 44
45 TARGETX ASIC Register Map (not including all) Table 4: TARGETX Register map with registers optimized for production 45
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