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R&D on silicon pixels and strips

R&D on silicon pixels and strips. Giuliana Rizzo for the Pisa BaBar Group. SuperB WorkShop Frascati-17 November 2006. Advantages: Same substrate for detector-readout: less material in the detection region (thin down to ~ 50 um) Sensor faster and more rad hard than CCDs

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R&D on silicon pixels and strips

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  1. R&D on silicon pixels and strips Giuliana Rizzo for the Pisa BaBar Group SuperB WorkShop Frascati-17 November 2006 SuperB WorkShop – 17 November 2006

  2. Advantages: Same substrate for detector-readout: less material in the detection region (thin down to ~ 50 um) Sensor faster and more rad hard than CCDs CMOS deep submicron process low power consumption and fabrication costs electronics intrinsically radiation hard electronics & interconnects epitaxial layer (~ 10 m thick) substrate (~ 300 m thick) CMOS MAPS Principle of Operation: • Electrons generated by the incident particle in the undepleted epitaxial layer move by thermal diffusion. • Q ~ 80 e-h/m -> Signal ~ 1000 e- • Signal collected by the n-well/p-epi diode Developed for imaging applications, recently proven to work well also for charged particles. • Lots of MAPS R&D in many places with a “conventional” approach: • Charge-to-voltage conversion provided by sensor capacitance -> small collecting electrode -> small single pixel signal • Extremely simple in-pixel readout configuration (3 NMOSFETs) -> sequential readout -> readout speed limitation SuperB WorkShop – 17 November 2006

  3. This feature exploited for a new approach in the design of CMOS pixels: The deep n-well can be used as the collecting electrode A full signal processing circuit can be implemented at the pixel level overlaying NMOS transistors on the collecting electrode area: A new approach for CMOS MAPS • Use of commercial triple-well CMOS process to address the two previous limitations of conventional MAPS • increase collecting electrode size • increase the complexity of the in-pixel readout electronics In triple-well processes a deep n-well is used to provide N-channel MOSFETs with better insulation from digital signals SuperB WorkShop – 17 November 2006

  4. Fill factor = deep n-well/total n-well area  0.85 in the prototype test structures Triple well CMOS MAPS Standard processing chain for capacitive detector implemented at pixel level PRE SHAPER DISC LATCH • Charge preamplifier used for Q-V conversion: • Gain is independent of the sensor capacitance -> collecting electrode can be extended to increase the signal • RC-CR shaper with programmable peaking time (0.5, 1 and 2 s) • A threshold discriminator is used to drive a NOR latch featuring an external reset Readout scheme compatible with existent architectures for data sparsification at the pixel level -> improve readout speed SuperB WorkShop – 17 November 2006

  5. 90Sr electrons Noise only (no source) Landau peak 80 mV threshold saturation due to low energy particle. 3000(e-) 1250 2200 First Results • Prototype chip, with single pixels, realized in 0.13 mmtriple well CMOS process (STMicrolectronics) • Very encouraging results: • Prove the principle • Good agreements between measurements and simulation • S/N = 10 measured with electrons from 90Srb source • Pixel noise still “high” • ENC = 125 e- for known reason • Second version of the chip currently under test: • Small pixel matrix (8x8, 50x50 mm2 ) with simple sequential readout. • Improved noise performance: pixel noise ENC = 50 e- • Expected S/N ~ 25 SuperB WorkShop – 17 November 2006

  6. R&D Project • Aim of our research program is to fabricate MAPS sensors, based on triple well commercial CMOS process, and develop the technology for the fabrication of thin silicon strip detectors. • Final goal is to build a prototype of a thinsilicon tracker (MAPS and thin silicon strip modules) with LV1 trigger capabilities (based on Associative Memories) • Already working on the design of the readout architecture for MAPS matrix, with data sparsification at the pixel level, having in mind a Linear SuperB as target application. • Technology for thin silicon strips on a large area is not well established. We will explore two alternatives: epitaxial grown substrate and locally thinned high resistivity substrate. • Important aspect of the project is to develop light mechanical and cooling structures for thin silicon modules to benefit of the very low material budget of the sensor itself. • Test of the prototype tracker in a test beam in 2008 SuperB WorkShop – 17 November 2006

  7. SLIM Collaboration • This R&D project will be pursued in the next 3 years within the new SLIM (Silicon detectors with Low Interaction with Material) Collaboration, supported by the INFN and the Italian Ministry for Education, University and Research. • The SLIM Collaboration is organized in 4 Work Packages to cover the various aspects of the project: • WP1 “MAPS and Front End Electronics” • WP2 “Thin silicon strips” • WP3 “Trigger/DAQ” • WP4 “Integration, Mechanics and Test Beam” • We have a quite detailed project plan • Several Italian Institutes involved in the project: • Pisa (coordination), Pavia, Bergamo,Trieste, Torino, Trento, Bologna • Total Manpower involved ~ 12 FTE SuperB WorkShop – 17 November 2006

  8. Backup SuperB WorkShop – 17 November 2006

  9. Detailed physical simulations performed using ISE-TCAD software to: understand the charge collection mechanism and its time properties study influence of neighboring pixel and n-wells optimize sensor design (needs 3D simulation, in progress) Device Simulation (ISE-TCAD) • Preliminary results: • Collected charge ~ 1500 e- • assuming pepi thickness  15 m: likely to be true. • Charge collection drops rapidly out of deep nwell area • Collection time: ~50 ns Uncertainties about process: Test structure chip realized to measure some process parameters -> a crucial inputfor simulation SuperB WorkShop – 17 November 2006

  10. Test Chip Layout 0.13 mm CMOS HCMOS9GP by STMicroelectronics: epitaxial, triple well process (available through CMP, Circuits Multi-Projets) channel 1-2-5 have integrated injection capacitance for readout electronics characterization channel 5 - pixel with input pad for charge injection (830 mm2 collecting electrode area) Single devices channel 6 - pixel with small (830 mm2) collecting electrode area channel 4 - pixel with large (2670 mm2) collecting electrode area channel 3- pixel with medium (1730 mm2) collecting electrode area channel 2 - pixel with input pad for charge injection (100 fF detector simulating capacitance) channel 1 - pixel with input pad for charge injection SuperB WorkShop – 17 November 2006

  11. Channel 5 Channel 2 Channel 1 Gain & Noise Measurements • Charge sensitivity and Equivalent Noise Charge measured in the three channels with integrated injection capacitance Cinj • Good agreement (~10%) with the post layout simulation results (PLS) Gain~440 mV/fC ENC= 11e- +425e- /pF • Equivalent Noise Charge is linear with CT=CD+CF+Cinj+Cin (CD=detector capacitance, CF=preamplifier feedback capacitance, Cin=preamplifier input capacitance) • Sensor capacitance higher than initially expected: noise performance greatly affected. Room for improvement in next chip submission SuperB WorkShop – 17 November 2006

  12. Response to infrared laser • Infrared laser used to emulate charge released by particle • =1060 nm  absorption coefficient=10 cm-1 in Si  pixel can be back illuminated • Total charge released equivalent to ~ 6 MIPs • Charge released in a broad region under the sensor: fraction of the charge collected by pixel depends on the laser spot intensity profile (not well known yet) • Largest charge collected in the largest pixel. • Charge does not scale linearly  laser spot larger than the pixel area and with non uniform profile • Results roughly compatible with a gaussian laser spot profile of about 50 m … SuperB WorkShop – 17 November 2006

  13. INCIDENT PHOTONS PWELL NWELL PWELL DEPLETION REGION Charge entirely collected Charge only partially collected by single pixel P- EPI-LAYER P++ SUBSTRATE 1640 2200 3000 (e-) Calibration with 55Fe X-ray Peak value of the shaper output: • blue - 55Fe source (5.9 keV) • green - No source (same acquisition time) • Soft X-ray from 55Fe source used to calibrate pixel noise and gain in channels with no injection capacitance =105 mV =12 mV Threshold set cuts this region 5.9 keV line  1640 e/h pairs: • with charge entirely collected clear peak @ 105 mV -> gain=400 mV/fC • below 100 mV excess w.r.t. noise events <- charge only partially collected • Using 55Fe gain calibration: pixel noise8 mV ENC=125 e- • Signal from simulation  1500 e- S/N expected = 12 SuperB WorkShop – 17 November 2006

  14. e- Scintillator Pixel Si chip 300 um 90Sr beta source Response to 90Sr electrons Response to M.I.P from 90Sr beta source used to measure S/N ratio 15% die in Si 45% are ~ M.I.P: Landau peak 40% release more than a M.I.P, they deform Landau shape or saturate the shaper Acquisition triggered by coincidence scintillator & pixel signal above threshold (set @ ~0.5 MIP) Setup not easy as it seems: you need to fire a single pixel ~30x30 m2 ! SuperB WorkShop – 17 November 2006

  15. Landau peak 80 mV saturation due to low energy particle. 1250 2200 3000(e-) Response to 90Sr electrons Peak value of the shaper output: • blue - 90Sr beta source • green - No source • Landau peak clearly visible @80 mV • Using M.I.P signal from 90Sr and average pixel noise S/N=10 • Using gain measured with 55Fe, M.I.P most probable energy loss corresponds to about 1250 e- • Fair agreement with sensor simulation:  1500 e- expected for pepi layer thickness  15 m. Hint on the process secrets! Threshold set cuts this region SuperB WorkShop – 17 November 2006

  16. Second chip layout Pixel Matrix Single Pixel channels SuperB WorkShop – 17 November 2006

  17. SuperB WorkShop – 17 November 2006

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