Ideas on MAPS design for ATLAS ITk. HV-MAPS challenges Fast signal Good signal over noise ratio (S/N). Radiation tolerance (various fluences) Resolution.

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Presentation transcript:

Ideas on MAPS design for ATLAS ITk

HV-MAPS challenges Fast signal Good signal over noise ratio (S/N). Radiation tolerance (various fluences) Resolution and readout rate Filling factor and area coverage Power needs

Signal speed √ ACHIEVED: provided that drift field is created (HV-CMOS technology) even with “large” technology node (AMS.35) the signal can be kept within < 50 ns. Smaller nodes allows for even shorter time performance. The imminent H35 submissions features pixel flavours with more aggressive time performance and will give further reassurance on this aspect. Analog pixels (2 large arrays of 24 rows x 300 columns each) Flavour 1 (24 rows x 100 columns) → mid-gain pre-amp. + low-speed Flavour 2 (24 rows x 100 columns) → high-gain pre-amp. + high-speed Flavour 3 (24 rows x 100 columns) → low-gain pre-amp. + very high-speed Digital pixels (2 large arrays of 16 rows x 300 columns each) Flavour 4 (16 rows x 300 columns) → CMOS comparator in the periphery Flavour 5 (16 rows x 150 columns) → nMOS comparator without TW compensation Flavour 6 (16 rows x 150 columns) → nMOS comparator with TW compensation Test structures Single diodes & extra pixels

Good S/N ratio The requirement for fast signal shaping limits the noise performance of the analogue stage. For this reason (besides the charge collection speed) the presence of strong electric field in the sensor p-bulk is demanded. Deep depletion operations (where deep is a variable number, but > 50  m is a good number) will yield the S/N.

Need to operate with near 100% tracking efficiency after the target irradiation fluence. These will change depending on the radial distance, but we should set ourself targets like 0.5, 1, 3, 5 x n eq cm -2 (displacement damage) and 10, 50, 100 and 250 Mrad (TID). A substantial impact on the performance is given by the biasing scheme. Radiation tolerance (various fluences)

The electric field keeps a similar shape with irradiation and the backplane biasing should allow violating the maximum applied bias allowed from the technology. Back biasing is a strong recommendation!!

Substrate resistivity is also a parameter for radiation tolerance. The depletion depth depends on both the resistivity and the applied bias voltage. It could be a parameter that is advantageous to optimise for the specified target fluence (layer). It should be notice that the effective space charge(N eff ) of p-type bulk silicon does not increase immediately with irradiation! Radiation tolerance (various fluences)

The idea of tuning the resistivity to the radiation fluence is feasible mainly if backside biasing is implemented.

Compromise between the pixel size and the readout complexity. Small pixels can be achieved in CMAPS, analogue encoding can be used for improving granularity. All this adds to the digital circuitry. Part (if not all) of the digital activity is outside the sensitive area and it has impact on tiling. Resolution and readout rate

Filling factor has two aspects: in the active area (possible loss of efficiency in the inter-area between collecting n-wells) and periphery for digital circuits The first effect is strongly mitigated (aka solved) by “deep depletion” and collection by drift. The second aspect depends on readout architecture and choices (e.g. In pixel discrimination). Filling factor and area coverage

The reticule size with a maximum of ~ 2 x 2 cm 2 obliges to make a rather laborious tessellation work to produce large area systems. This could be improved if CMAPS detector can be diced in multiple reticules. The inter-reticule area could result in a non-sensitive region. This has to be minimised or made sensitive. Deep-depletion devices can allow to make the field extended laterally to cover the inter-reticule area. We need to study how strongly this mitigation factor improves the coverage using stitching methods (with the foundries that allow for it) or by dedicated crafting of the n-well geometry in the border pixels. Filling factor and area coverage

Routing demonstrator - Floorplan Floorplan (engineering run with maximum reticle size of 1.9 cm x 2.45 cm) A → Not decided at the moment B → Pixel array with metal routing lines to test fan-out (x2) C1 → Type B pixel array with HV strip pads for readout C2 → HVPixelM chip with rolling shutter readout D → Digital circuit with comparator that has adjustable threshold E → 25 µm x 25 µm macro-pixel with 4 sub-pixels with encoding (readout with CLICpix, Medipix, Timepix) F → Test structures (diodes, pixels with/without comparators, different feedback) G → Pixels with encoding for strip readout H → Pixels with fan-out structure for strip readout I → Test powering FEI4 through top metal layer 20/10

Filling factor and area coverage The routing of channels to a readout pad area could allow to use a small readout chip for removing the digital circuits from periphery (this implies use of stitching and TSV on the readout chip). Sensor Digital ROC

HV-MAPS challenges Fast signal √ Good signal over noise ratio (S/N). Improving if backplane biasing implemented. At CMOS foundry level or post processing. Radiation tolerance (various fluences). ). Improving if backplane biasing implemented. Possible playing with substrate resistivity. NOTE: deep depletion with high voltage better than deep depletion with high res substrate. Resolution and readout rate. System dependant. Optimisation exercise. Filling factor and area coverage. Study stitching or multi- reticule dicing. Power needs. System dependant.