F February 5, 2001 Pixel Detector Size and Shape David Christian Fermilab.

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Presentation transcript:

f February 5, 2001 Pixel Detector Size and Shape David Christian Fermilab

February 5, Context of Discussion FPIX2 Design “Core” established by PreFPIX2I, 2TB Programming interface & DAC’s established by PreFPIX2TB Final step is periphery design SEU considerations Data output (point to point LVDS) Data format (BCO, Col, Row-ADC,Row-ADC?) Degree of serialization (# of lines) Array size Geometry specification for next round of BTeV simulations Hope is to have geometry files ready for use in ~3-6 weeks.

February 5, Starting point… 12 mm x 12 mm beam hole. Vertical separation of half planes (tracks from beam region never cross central vertical plane). Baseline trigger uses precision non bend view pixels only for inner triplets. Penny’s simulations (need a presentation) indicate that precision non bend view coverage of 70% of bend view coverage is sufficient (not really relevant for today’s discussion).

February 5, (160 row x 18 col) size doesn’t tile nicely Non-bend “view”Bend “view” 3.2 mm overlap, assuming 8 row shingle overlap (7.6 mm coverage)

February 5, (128 x n) works nicely (128x22 shown) Non-bend “view”Bend “view” Very small overlap, or none for 8 row shingle overlap (6 mm coverage)

February 5, (256 x n) works well too. Non-bend “view”Bend “view”

February 5, Concentrate on 128x & 256x Shingling (wedge angle required) Constraints on HDI? FPIX2 considerations Cooling

February 5, Assume 8 pixel overlap (.4mm) = 10.1 mm 8.9-( ) = 6mm .9mm Wedge angle  Arctan(.9/6) = Arctan(.15) = 8.5  ~4.1 mm cantilever! (only ~5 mm of FPIX2 is in contact w/heat sink) Wedge required for sensor w/128 rows (maybe as small as .7 mm  Angle ~ 6.7  ) First study of cooling (temperature profile) has started. [by Ang Lee, using ANSYS]

February 5, x n: wedge angle is small. Cantilever ~ = 4.1 mm Wedge angle  Arctan(.7/12.4) = Arctan(.06) = 3.4  HDI is ~ 1 cm wide FPIX2 array size = 12.4mm x 12.8mm; Total chip size  12.8mm x 16.5mm Cooling is either the same as (128 x n), or easier.

February 5, FPIX2 considerations: (160x18) vs. (128x22) Simulations  (160 x 18) can (just) be read out fast enough to maintain high efficiency. May have to extend periphery more than current 2.7 mm (or add columns) to fit serializers & LVDS drivers. (Adding columns increases bandwidth required.) Starting to simulate (128x22): ~The same area. Can use faster readout clock. Added space on periphery to accommodate serializers & LVDS drivers.  (128x22) looks very nice from readout chip Point of view.

February 5, FPIX2 Considerations: (256xn) Can’t simply extend the column without using Metal 6 for power distribution. Metal 6 is available in IBM 0.25; not TSMC. Can’t extend the column without redesigning token-passing or using a much slower readout clock. Only easy option is to use 128 rows & layout “2 chips in 1” – back to back (as intended before concept of shingle was introduced).

February 5, Mixed (256 x n) & (128 x n) Step  = 1.2mm  wedge angle  Arctan(1.2/12.4) = 5.5  Cantilever ~ = 5.8 mm! Length of FPIX2 in contact w/heat sink  – 2.7 = 3.3 mm! Can’t use only (256xn) because of FPIX2 periphery. Larger cantilever required… need to study cooling!

February 5, Trying to make (256 x n) work… Lay out 4 “cores” – e.g. 4(128 x n): Active area 4(128xn) End of col logic Central data way for readout of “far side.” Periphery

February 5, Problems with 4(128 x n) Still need metal 6 for power distribution (  no TSMC)  MIGHT be able to stretch pixels to ~460  & use extra area for power distribution (Major redesign of core). EOC would need redesign to drive central data way  MIGHT limit readout speed. Much more complex periphery required.  Either 4 parallel output paths, or logic to merge output paths is required.  Chip would either have to get longer (requiring an even larger cantilever), or much wider, to have room for the extra peripheral logic.

February 5, Material Budget Assume material is 1/3 sensor, 1/3 readout chips, & 1/3 everything else: (256 x n) w/readout on one side is ~7% less material than (128 x n). 12% less in sensors; 9% less in readout chips (assuming no change in periphery size). Mixed (128 x n) & (256 x n) w/readout on both sides is ~3% less material than (128 x n). 10% less in sensors; readout chips are the same (assuming no change in periphery size).

February 5, How many options shall we pursue? 160 x n? (might need more than 18 to fit periphery &/or insure one row of wire bond pads) 128 x n? ; mirrored to achieve 256 x n? 128 x n tiles nicely, easiest chip design. Mirrored 256 x n would reduce parts count with respect to 128 x n, but requires larger cantilever & nets only ~3% reduction in material. 4(128 x n)? Reduces material by ~7% with respect to 128 x n; also reduces parts count. Requires core redesign (either IBM only design, or pixel longer than 400  ); speed penalty associated with driving central data way. 256 x n with major core redesign? Reduces material by ~7% with respect to 128 x n; also reduces parts count. Major core redesign (either IBM only design, or pixel longer than 400  [even longer than 4(128 x n)]).