SensorsCon 2013: Residual Bulk Image in CCD Image Sensors and How to Tame it Richard Crisp Vice President and Chief Technologist, Invensas Corp March 6, 2013 Outline Introduction to Invensas Image Sensor Market and CCD-dominant applications Residual Bulk Image (“RBI”) in long exposure CCD images Root causes of RBI Characterization of RBI Management of RBI Impact on noise Summary/Conclusion 2 Who is Invensas? Formation: Founded in 2011 as a wholly owned subsidiary of Tessera Technologies, Inc. (Nasdaq:TSRA) Goal: Develop and commercialize breakthrough semiconductor interconnect solutions and IP in Mobile, Storage and Cons. Electronics. Core Focus: “Interconnectology”: adv. interconnect, semiconductor packaging, memory circuitry, modules, 3D TSV systems/architecture. Company: 50+ Employees (1/3 PhD). Headquarters: San Jose, CA. IP: ~1000 patents and applications. 3 Invensas Product Capabilities Courtesy ALLVIA Courtesy ALLVIA Invensas has advanced prototyping capabilities from wirebond and flip-chip to 3D-TSV Circuit Level to Board and System Level 4 Invensas Technology Platforms MEMORY (xFD): • DIAP for Ultrabooks & Tablets. • xFD for Servers and Datacenters. WAFER LEVEL PACKAGING: • Fan-Out Wafer Level Packaging 5 • Stacked WLP for Flash Memory/SSD MOBILE (BVA): • Bond Via Array for Ultra Smartphones • Cu-Pillar PoP for Smartphones/Tablets 3D-IC: • Fine-Pitch TSV Interposers • 3D Memories • 3D Capacitors 3DIC Total Integration Solution & Team System Design Component Selection Hardware Design Signal Integrity Analysis Algorithm Design SEMATECH’s 3D Enablement Center RTL Design 6 Prototype Build Embedded Firmware Design Functional Test Image Characterization Developing Robust and Cost Competitive 3D-SIC Packaging Solutions o o o 7 Know How – Extensive body of practical knowledge to enable the bleeding edge 3D-SIC technology today. Expertise – Experienced personnel (50+ engineers/scientists) to produce TSV based devices and develop the next generation of 3D-SIC assembly processes. Capabilities – Access to complete front end prototype development line and internal packaging assembly technology to develop robust and cost competitive packaging assembly technology. Invensas 3DIC Solutions Ability to produce “Xilinx Vertex-7 like” designs. Equivalent node to TSMC. Underpinned with IP. 8 System Integration: Invensas Si-Interposer Assembly Micro-bumped Die Micro-bumped Die Si-Interposer Micro-bumped Interconnects Si Interposer 3-4-3 Build Up Substrate 9 C4 Interconnects CCD Market and Key Applications 10 CCD market share Declining proportion of total sensors market But dominant in scientific applications 11 Scientific Applications Dominated by CCD Long Exposure (minutes not milliseconds) 12 Life on the other end of the curve Most of the industry volume CMOS smartphone cameras etc Focus area of this talk (long exposure CCD) Worries: Quantum Efficiency Dark signal Residual Image Photons Source: Catrysse 13 RBI example in long exposure CCD scientific image Image with RBI (is that a nebula beside the bright star?) 14 RBI example in long exposure CCD scientific image Image with RBI 15 Actual starfield (the “nebula” was RBI) Slow RBI decay revealed in Long Exposure Dark Images Light Image 2hours later 16 Immediately following 3hours later 1hour later 4hours later 5 minute dark exposures at -20C operating temperature Dark Image Example Showing Accumulated RBI Five minute dark exposure following four light exposures -20C operating temperature 17 Root cause of RBI 18 Basic CCD Structure KAF39000 39Mpixels @ 6.8 microns 49 x 36.8 mm Phase 1 19 Phase 2 Phase 3 Phase 1 CCD Exposure and Readout PHOTONS PARTICLES PIXELS HORIZONTAL SHIFT REGISTER ELECTRONS VERTICAL SHIFT REGISTERS MEASUREMENT Source: Janesick SERIAL READOUT 20 Charge Transfer for Readout by Phase Clocking Negative charge (e-) Follows clock high phase Possible for Trapped Charge Leakage Into Subsequent Images 21 RBI Mechanisms Epi interface trapping sites o Spectral dependence Stress-induced trapping sites in lattice from crystal growth process o Swirling shapes in darks Random bulk defects in crystal lattice o No spectral dependence or swirling shapes EPI Bulk Wafer Wafer cross section 22 Trapping sites Residual stresses from crystal growth (boule rotates as pulled from melt) Wafer Mapping example 23 Die 1 Die 2 Die 3 Die 4 Die 5 Die 6 Die 7 Die 8 Die 9 Characterization 24 RBI Trap Decay Measurement Flood/Flush Dark yes Detectable RBI? no 25 Fills traps, flushes pixel Traps leak during dark exposure adding signal vs reference dark Comparison made to leakagefree reference dark 26 27 28 KAF09000 RBI trap exhaustion vs temperature Trap Exhaustion Time vs Temperature NIR Flooded RBI Trap Exhaustion Time (seconds) 1000000 Trap Exhaustion Time 100000 10000 1000 15 10 5 0 -5 -10 Temperature (C) 29 -15 -20 -25 -30 -35 Management of RBI 30 Management of RBI A method to manage RBI is to begin all integrations with filled traps The procedure is: o Flood the CCD using LED at least 10x past saturation o Flush the saturated sensor o Begin integration Flood Sensor Flush sensor Integrate 31 Management of RBI: Flood-Flush-Integrate protocol Image 32 Subsequent dark Amplifier luminescence reduced via flood/flush/integrate 30 minute dark with no flood. Significant amplifier luminescence Post-flood 30 minute dark frame Negligible amplifier luminescence The result hints at a power-up transient bias condition initiating impact ionization in CCD’s output amplifier 33 Amplifier luminescence GATE (V G = 0 V) 0.0 NITRIDE OXIDE DRAIN V DD = 20 V 0.2 0.4 ELECTRIC FIELD 0.6 DEPLETION EDGE 0.8 PINCHOFF REGION 1.0 1.2 DEPLETION EDGE 1.4 1.6 7.6 8 8.4 8.8 9.2 DISTANCE, MICRONS Source: Janesick Source: Janesick 34 9.6 Power Up Transient Sensor array is saturated at power-up 15V -> output Source Follower transistor is in pinch-off High drain field causes impact ionization -> luminescence λ 7V 3V 35 Luminescence loads nearby RBI traps and gradually decays Dark FPN 36 DARK FPN: without and with light flood No Light Flood (900 second dark) 37 With Light Flood (900 second dark) DARK FPN: Before and after Calibration With Light Flood not calibrated (900 second light) 38 With Light Flood After calibration (dark subtraction and flat-fielding) (900 second light) Noise considerations 39 Impact on noise: charge leaking from traps camera _ noise = read _ noise + dark _ signal 2 Thermal_charge + trap_leakage_charge [ignoring dark fixed pattern noise] 40 Maximum operating temperature camera _ noise = read _ noise + dark _ signal 2 (time-invariant) (time-dependent) The maximum operating temperature is reached when the two terms are equal for the desired exposure time Noise terms under radical Dark signal noise term: f(temp, time) temp1 temp3 Read noise term: ~constant t1 41 temp2 time t2 t3 10000 Trap Leakage During Exposure (e-) Arrhenius Plot of KAF09000 RBI Trap Leakout vs Temperature vs Time 5 minute exposure 10 minute exposure 15 minute exposure 1000 20 minute exposure 25 minute exposure 30 minute exposure 225 e- -37.7C -49.3C 15 e- read noise equivalency limit dynamic range = 6,000:1 or 75.56 dB -54.7C -19.2C -30.3C -44.6C 100 e- -57.9C -68.5C -43.1C 10 e- read noise equivalency limit dynamic range = 9,000:1 or 79.08 dB 100 -31.5C -50.8C -63.8C 25 e-76.1C -59.9C -47.3C -68.5C 5 e- read noise equivalency limit dynamic range = 18,000:1 or 85.106 dB -87.8C -81.9C 10 3 +60.3C 3.5 4 4.5 -23.0C -73.0C 1000/T (1/K) 42 5 5.5 6 -106.3C Maximum Operating Temperature vs Time for KAF09000 Meeting Dark Shot Noise-Limited Constraint Commencing Exposure With Filled RBI Traps 0 5 e- noise target -10 Operating Temperature (C) -20 10 e- noise target -30 15 e- noise target -40 -50 -60 -70 -80 -90 -100 0 5 10 15 20 Exposure Time (minutes) 43 25 30 35 Summary RBI can disrupt the integrity of scientific images unless managed RBI is severe in the evaluated sensor (Eng Grade KAF09000): residual image detectable 30 hours after exposure with modest cooling (-30C) Flood-Flush-Integrate protocol is effective at removing RBI o Also minimizes observed amplifier luminescence Prefilled trap leaked charge is typically much larger than dark signal charge for moderate cooling (down to –30C) in typical duration scientific exposures (5 – 30 minutes) Dark Fixed Pattern Noise is observed to be altered due to nonuniform distribution of trapping sites. This DFPN is completely removed by dark subtraction provided the traps are placed in a fully-filled state prior to integration Deep cooling (down to approx -90 C) indicated to minimize shot noise associated with prefilled trap leakage for half hour exposures with 5 e- dark shot noise target 44 THANK YOU 45
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