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CCD-based Pixel Detectors by LCFI Andrei Nomerotski (U.Oxford) on behalf of LCFI collaboration Hiroshima2006, Carmel Outline LCFI Collaboration Pixel Sensors and their Readout Column-Parallel CCDs Storage Pixels : ISIS Mechanical Studies Summary. - PowerPoint PPT Presentation
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Andrei Nomerotski
1
CCD-based Pixel Detectors by LCFI
Andrei Nomerotski (U.Oxford) on behalf of LCFI collaboration Hiroshima2006, Carmel
Outline LCFI Collaboration Pixel Sensors and their Readout
Column-Parallel CCDs Storage Pixels : ISIS
Mechanical Studies Summary
Andrei Nomerotski
2
LCFI :Linear Collider Flavour
Identification
Valencia
Goals : Development of technologies and algorithms for the ILC vertex detector
Andrei Nomerotski
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Pixel Sensors Traditionally LFCI develops CCD-based
sensors Builds on successes of the SLD vertex
detector which was based on CCDs and arguably was the closest to the required ILC parameters ever built
The VXD3 upgrade vertex detector: 96 large CCDs, 307 Million pixels (1996)
Andrei Nomerotski
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Vertex Detector for ILC
Main requirements: Excellent point resolution (3-4 μm), ~1 Gigapixel 20x20 μm Low material budget ( 0.1% X0 per layer) Low power dissipation Moderate radiation hardness ( 20 krad/year) Tolerance to Electro-Magnetic Interference (EMI) Operation in 5T magnetic field Fast Readout – the challenge
Andrei Nomerotski
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The Challenge
What readout speed is needed? If read once per train : occupancy ~200 hits/mm2 : too slow Need to read once accumulated occupancy ~10 hits/mm2
=> 20 times per train = 50µs/MPixel Fastest commercial CCDs ~ 1 ms/MPixel
Two approaches1. Parallel Readout of traditional CCD: CPCCD – information
leaves the sensor as fast as it can 2. Storage Sensors : each pixel has a ‘memory’ filled up during
collisions and read out between trains at slow rate: ISIS technology – information is stored in the sensor
337 ns
2820x
0.2 s
0.95 ms
LC Beam Time Structure:
= one train
Andrei Nomerotski
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“Classic CCD”Readout time
NM/fout
N
M
N
Column Parallel CCD
Readout time = N/fout
M
Simple idea : read out a vector instead of a matrix Readout time shortened by orders of magnitude
BUT
Despite ‘parallel processing’ readout rate is still challenging : 50 MHz clock moves charge 2500 times in 50 µs. 2500x20 µm = 50 mm
Every column needs own amplifier and ADC requires readout chip
Column Parallel CCD
Andrei Nomerotski
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Column Parallel CCD Readout Chip is a difficult but clearly feasible problem
Geometrically concept of columns is similar to the silicon strips - strip detectors have complex readout chips integrated in ladder
However density of channels requires bump-bonding
Difference wrt Strips: to move the charge need to clock all columns of the CCD simultaneously
Simple exercise : typical capacitance of CCD sensor : 100nF 50MHz 10 ns rise time Clock current = 100 nF x 2 V / 10 nsec = 20A ! Voltage drops 20 A x 0.1 Ohm = 2 V Inductance of 1mm long bond wire = 1 nH :
corresponds to 0.3 Ohm at 50 MHz
Driving a full area CPCCD is a major challenge! Need a special high current clock driver Need to be extra careful with the design of clock distribution
Andrei Nomerotski
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CPCCD : LCFI R&D Milestones Established proof of principle for small area
sensors : CPC1 Established proof of principle for readout chip :
CPR1, developed and produced more sophisticated CPR2
Moved on to large area sensors : CPC2 Need to handle the problem of clock driver 1. Design dedicated clock driver : CPD12. Find ways to reduce the CCD capacitance3. Find ways to reduce the required clock voltage
Next slides: Results from prototypes
Andrei Nomerotski
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Clock bus
Main clock wire bonds
Main clock wire bonds
CPR1 CPR2
Temperature diode on
CCD
Charge injection
Four 1-stage and 2-stage SF in adjacent
columns
Four 2-stage SF in adjacent columns
Standard Field-enhanced Standard
No connections
this side
Image area
Extra pads for clock monitoring and
drive every 6.5 mm
Next Generation Sensor: CPC2
Standard two phase CCD, 20 micron square pixels
Three different chip sizes with common design:
CPC2-70 : 92 mm 15 mm image area
CPC2-40 : 53 mm long
CPC2-10 : 13 mm long
Compatible with CPR1 and CPR2
Two charge transport sections: standard and field enhanced
Choice of epitaxial layers for different depletion depth: 100 .cm (25 μm thick) and 1.5 k.cm (50 μm thick)
Andrei Nomerotski
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CPCCD WaferISIS1
CPC2-70
CPC2-40
CPC2-10
Andrei Nomerotski
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55Fe spectrum from CPC2-10 at 1 MHz
● First 55Fe spectrum at 1 MHz, -40 C, reset every pixel● Analogue readout (no RO chip)● Noise 65 e- ( typical MIP signal 1600 e-)
CPC2: First Results
K.Stefanov RAL
Andrei Nomerotski
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CPR2 designed for CPC2
Numerous improvements over CPR1 and new test features
Size : 6 mm 9.5 mm
0.25 μm CMOS process (IBM)
Solder bump bonding CPC2-CPR2 in progress at VTT
Bump bond pads
Wire/Bump bond pads
CPR1
CPR2
Voltage and charge amplifiers 125 channels each
5-bit flash ADCs
Cluster finding logic
Sparse readout circuitry
FIFO
Next Generation CPCCD Readout Chip – CPR2
Steve Thomas, RAL Bump-bonded CPC1/CPR1
Andrei Nomerotski
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IC driver: CPD1
First CPCCD driver chip (CPD1) submitted in July 2006, ready in October 2006
CPD1: 2-phase CMOS driver chip for 20 Amp current load at 25 MHz (L2-L5 CCDs)
0.35 μm process, size 3 x 8 mm2
32 W peak power but 0.5% duty cycle
Thermal and electromigration issues seems to be under control
Clock Drivers for CPC2 Requirements: 2 Vpk-pk at 50 MHz over 40 nF
Two Options:
Transformer
Planar air core transformers on 10-layer PC
Dimension: 1 cm square
Andrei Nomerotski
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Clock monitor pads
CPR1/CPR2 pads
Transformer Drive Tests: CPC2-40 in MB4.0
Johan Fopma, Oxford U
“Busline-free” CCD: the whole image area serves as a distributed busline
Effective inductance minimized through cancellation of magnetic fields from opposite clock phases
50 MHz achievable with suitable driver
First clocking tests have been done
Transformer
Andrei Nomerotski
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Next Steps for CPCCD Evaluate performance of CPC2 bump-
bonded to CPC2/CPR2 Designing with e2V test devices to study
how to reduce CCD capacitance and how to reduce clock voltage Theoretically can achieve factor of 4 reduction in
C 10(H)480(V) pixels, new improved process
capabilities at e2V: 0.5 m feature size, ~200 nm blind alignment
Andrei Nomerotski
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Storage Pixels Industry analogy is “Burst mode” : capturing a limited
number of images at short intervals Burst mode imagers are available commercially (ex. DALSA)
with rates up to 100MHz : the rate is limited by the charge transfer between neighboring cells
Memory is implemented as a CCD register associated with an imaging pixel : whatever one can fit in an area of one pixel
Dart bursting a ballon : 100 consecutive frames at 1M frame/sec
Andrei Nomerotski
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Storage Pixels as Particle Detectors
ILC requirements : capture charge every 50 us 20kHz – no problem
Challenges : Used as particle detector – need efficient
charge collection from the whole area Need to fit 20 cell CCD register into 20x20
square micron pixel (together with photogate and some logic)
Need a more complicated than pure CCD process
Andrei Nomerotski
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In-situ Storage Image Sensor : ISIS
Charge is collected into a photogate Each pixel has its own 20-cell CCD register : store raw charge during collisions Increased resistance to EMI Column-parallel readout during quiet time at ~1 MHz: much reduced clocking
requirements
Andrei Nomerotski
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Output and reset transistors
Photogate aperture (8 μm square)
CCD (56.75 μm pixels)
The ISIS1 Cell
OG RG OD RSEL
OUT
Column transistor
1616 array of ISIS cells with 5-pixel buried channel CCD storage register each
Cell pitch 40 μm 160 μm, no edge logic (pure CCD process)
Chip size 6.5 mm 6.5 mm
Andrei Nomerotski
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Tests of ISIS1
Tests with Fe-55 source ISIS1 without p-well tested first and works OK
ISIS1 with p-well has very large transistor thresholds, permanently off – problem understood
Next R&D steps : decrease pixel size, implement practical RO schemes – investigating new vendors
K.Stefanov RAL
Andrei Nomerotski
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Mechanical Options
Target of 0.1% X0 per layer (100μm silicon equivalent)
Unsupported Silicon Longitudinal tensioning provides stiffness No lateral stability Not believed to be promising
Thin Substrates Detector can be thinned to epitaxial layer (~20 μm) Silicon glued to low mass substrate for lateral stability Longitudinal stiffness still from moderate tension Beryllium has best specific stiffness
Rigid Structures Foams look very promising
Andrei Nomerotski
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Be and Carbon Fibre Substrates Beryllium substrate
Minimum thickness 0.15% X0
Good qualitative agreement from FEA models and measurement
Carbon Fibre substrate Better CTE match than Be ~0.09% X0, no rippling to
<200K lateral stability insufficient
Tension Silicon
GlueBeryllium
J.Goldstein
Andrei Nomerotski
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Rigid Structures: Foams Properties:
Open-cell foam Macroscopically uniform No tensioning needed
3% RVC (Reticulated Vitreous
Carbon) prototype Sandwich with foam core 0.09% X0
Mechanically unsatisfactory
8% ( 4%) Silicon Carbide prototype
Single-sided: substrate + foam 0.14% X0
Glue application: glue pillars are better than thin layer
20 µm silicon
1.5 mm silicon carbide
Andrei Nomerotski
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Summary LCFI is a viable and growing collaboration to develop
technologies and algorithms for VD First generation sensors extensively studied
Column parallel CCD principle proven
First results from the second generation of sensors
and readout chips Detector-scale CCDs Sparsified readout Developing advanced clock drivers First prototypes of storage devices
Mechanics : 0.1% X0 ladders seems achievable,
foams favoured as sensor support substrates
Andrei Nomerotski
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5.9 keV X-ray hits, 1 MHz column-parallel readout
Voltage outputs, non-inverting (negative signals)
Noise 60 e-Charge outputs, inverting (positive signals)
Noise 100 e-
First time e2V CCDs have been bump-bonded
High quality bumps, but assembly yield only 30% : mechanical damage during compression suspected
Differential non-linearity in ADCs (100 mV full scale) : addressed in CPR2
Bump bonds on CPC1 under microscope
CPC1/CPR1 Performance
K.Stefanov RAL
Andrei Nomerotski
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Backup Slides
Andrei Nomerotski
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CPR2 Test Results
Tim Woolliscroft, Liverpool U
●Tests on the cluster finder: works!
● Several minor problems, but chip is usable
● Design occupancy is 1%
● Cluster separation studies:
Errors as the distance between the clusters decreases
Reveal dead time
Many of the findings have already been input into the CPR2A design
Tim Woolliscroft, Liverpool U
Parallel cluster finder with 22 kernel
Global threshold
Upon exceeding the threshold, 49 pixels around the cluster are flagged for readout
Test clusters in Sparsified output
Andrei Nomerotski
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Radiation Damage Effects in CCDs: Simulations
Simulation at 50 MHz
Operating window
L. Dehimi, K. Bekhouche (Biskra U); G. Davies, C. Bowdery, A.Sopczak (Lancaster U)
●Full 2D simulation based on ISE-TCAD developed
● Trapped signal electrons can be counted
● CPU-intensive and time consuming
● Simpler analytical model also used, compares well with the full simulation
● Window of low Charge Transfer Inefficiency (CTI) between -40 C and 0 C
● Will be verified by measurements on CPC2
Signal density of trapped electrons in 2D
Andrei Nomerotski
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In-situ Storage Image Sensor (ISIS)
RG RD OD RSEL
Column transistor
Additional ISIS advantages:
~100 times more radiation hard than CCDs – less charge transfers
Easier to drive because of the low clock frequency: 20 kHz during capture, 1 MHz during readout
ISIS combines CCDs, active pixel transistors and edge electronics in one device: specialised process
Development and design of ISIS is more ambitious goal than CPCCD
“Proof of principle” device (ISIS1) designed and manufactured by e2V Technologies
On-
chip
logi
c
On-
chip
sw
itche
s
Global Photogate and Transfer gate
ROW 1: CCD clocks
ROW 2: CCD clocks
ROW 3: CCD clocks
ROW 1: RSEL
Global RG, RD, OD
5 μm
Andrei Nomerotski
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Silicon Carbide Foam
Glue “pillars” (right plot) are better than thin glue layer (left plot)