SVT-Pixel layer 0 recent achievements on chip readout architectures

Size: px
Start display at page:

Download "SVT-Pixel layer 0 recent achievements on chip readout architectures"

Transcription

1 SVT-Pixel layer 0 recent achievements on chip readout architectures Filippo Maria Giorgi - INFN and University of Bologna on behalf of the VIPIX collaboration XII SuperB General Meeting Annecy, March 5 th - 9 th 200

2 Boundary target conditions Matrix architecture comparisons Pixel architecture Matrix scan logic Sparsification and readout scheme Integration achievements Simulations results Improvements Conclusions Summary

3 Rate on Area: 00 MHz/cm 2. Matrix area ~.2-.3 cm 2. Pixel pitch ~ 50 μm Matrix dimension 256x92 pixels Architecture tailored for hybrid /3DMAPS sensor Output bus bandwidth ~ 20bit@200MHz (4Gbps) Target Conditions

4 Previous matrix architectures (2D MAPS): - Simple in pixel digital logic (competitive N-Well) - Time labeling of hits relayed to external logic - No hit information from every single pixel (scalability limits) group of 6 pixels: Macro Pixel (MP) with single Fast-OR freezing logic (avoid hits belonging to different Time Windows (BC clock) to populate the same MP) increase of dead area proportional to MP area trade off scalability vs efficiency - Moreover: time ordered hit extraction from the matrix requires great amounts of memory to store maps of MPs to be scanned for a determined TS (Scan Buffer). New matrix architecture (Hybrid or 3D MAPS): - Dense in pixel digital logic (Time labeling, arbitrary TS comparator for time ordered readout, auto pixel latch reset ) - Still no hit information from every single pixel (same 2D scalability limits) Column fast-or BUT NOW TS at pixel level NO FREEZING required much less dead area NO memory required (Scan Buffer) to perform time ordered matrix scans Smaller BC periods allowed (no scan buffer overflows, single col. Sweep..) Matrix architectures comparison

5 Analog front-end Threshold comparator Hit latch Time counter TS latch Comparator Reading Time Stamp See internal presentations by F. Morsani et al. Column Fast-Or New pixel FAST-OR architecture

6 Analog front-end Threshold comparator Hit latch PXL_DATA_BUS Reading Time Stamp TS latch Comparator See internal presentations by F. Morsani et al. COL_ENABLE New pixel READOUT architecture

7 Time counter During time window some pixel get fired Matrix scan Logic

8 Time counter During time window some pixel get fired Matrix scan Logic

9 Time counter During time window some pixel get fired Matrix scan Logic

10 2 Time counter During time window 2 some other pixel get fired Matrix scan Logic

11 2 Time counter 2 2 Reading Time Stamp 2 During time window 2 some other pixel get fired And reading of TS= hits start Matrix scan Logic

12 Time Stamp comparator MATCH 2 Time counter 2 2 Reading Time Stamp 2 Matrix scan Logic Column Fast-OR During time window 2 some other pixel get fired And reading of TS= hits start

13 PIXEL_DATA_BUS Reading Time Stamp COL_ENABLE Colum sweep: - Only the columns hit are scanned - clock cycle per column, indep. of occupancy Matrix scan Logic

14 PIXEL_DATA_BUS Reading Time Stamp 2 0 COL_ENABLE Colum sweep: - Only the columns hit are scanned - clock cycle per column, indep. of occupancy Matrix scan Logic

15 PIXEL_DATA_BUS Reading Time Stamp Matrix scan Logic COL_ENABLE Colum sweep: - Only the columns hit are scanned - clock cycle per column, indep. of occupancy

16 Pixel organized into 4 sub-matrices Each sub-matrix has an independent scan logic Increase horizontal parallelization The shorter the scans the greater the effi. One readout for each sub-matrix Vertical parallel sparsification (one entire column per clock cycle) Hit encoding Hit de-queuing system (time sorting preserved) Readout Submatrix0 (64x92) Submatrix (64x92) Submatrix2 (64x92) Submatrix3 (64x92) Readout Readout Readout SWEEPER SWEEPER SWEEPER SWEEPER Time counter (Gray or BCD) Slow Control Readout Scheme Common output stage ~ 4Gbps bandwidth I 2 C-like external interface: - 2 pad per chip - 2 lines for entire module

17 All the readout architecture coded in synthsizable VHDL. Sweeper for new matrix architecture rewritten from scratch. Full architecture entirely integrated reusing the same readout components from SuperPX0 alias FE4D32x28. We want to recycle as much as possible of them: Sparsification algorithms (zone sparsification) Barrel architecture (dynamic asymmetric FIFOs: variable input width) Concentrators with time sorting preserving algorithms. Integration achievements

18 . High statistic simulations with Matrix and Sweeper ONLY: The evaluated inefficiency depends only on how long it takes to extract a hit from the matrix. No readout no readout bottlenecks taken into account. 2. High statistic simulations of the whole architecture: New matrix New sweeper OLD SuperPX0 readout AS IS (sparsification and dequeuing logic). Simulations overview

19 . High statistic simulations with Matrix and Sweeper ONLY: The evaluated inefficiency depends only on how long it takes to extract a hit from the matrix. No readout no readout bottlenecks taken into account. 2. High statistic simulations of the whole architecture: New matrix New sweeper OLD SuperPX0 readout AS IS (sparsification and dequeuing logic). Simulations overview

20 Linear BC span ,97 99,95 99,95 99,93 99,9 99,90 99,88 99,87 99,87 99,78 99,70 99, ,96 99,95 99,95 99,92 99,9 99,89 99,88 99,86 99,86 99,77 99,70 99, ,95 99,95 99,94 99,9 99,9 99,89 99,87 99,86 99,85 99,76 99,68 99,6 8 99,93 99,93 99,92 99,9 99,89 99,88 99,86 99,86 99,85 99,74 99,67 99, ,40 99,9 99,9 99,90 99,89 99,87 99,86 99,85 99,84 99,73 99,66 99, ,33 99,07 99,89 99,89 99,88 99,87 99,85 99,84 99,84 99,73 99,65 99, ,95 92,73 95,86 99,72 99,85 99,85 99,84 99,83 99,83 99,72 99,63 99, ,3 89,20 88,78 87,92 88,07 9,8 93,89 96,34 98,70 99,69 99,6 99,5 BC (ns) RDclk(ns) Respect to previous matrix architectures : Wider margin on MST>BC condition (no scan buffer) Higher efficiencies (no freezing) Mean Sweeping Time (MST) > BC Since we perform an independent sweep for each BC period, this is an UNAFFORDABLE WORKING CONDITION NO sensor efficiency NO pixel reset dead time ONLY SWEEPING DEAD TIME. Matrix+Sweeper simulations

21 Linear BC span ,97 99,95 99,95 99,93 99,9 99,90 99,88 99,87 99,87 99,78 99,70 99, ,96 99,95 99,95 99,92 99,9 99,89 99,88 99,86 99,86 99,77 99,70 99, ,95 99,95 99,94 99,9 99,9 99,89 99,87 99,86 99,85 99,76 99,68 99,6 8 99,93 99,93 99,92 99,9 99,89 99,88 99,86 99,86 99,85 99,74 99,67 99, ,40 99,9 99,9 99,90 99,89 99,87 99,86 99,85 99,84 99,73 99,66 99, ,33 99,07 99,89 99,89 99,88 99,87 99,85 99,84 99,84 99,73 99,65 99, ,95 92,73 95,86 99,72 99,85 99,85 99,84 99,83 99,83 99,72 99,63 99, ,3 89,20 88,78 87,92 88,07 9,8 93,89 96,34 98,70 99,69 99,6 99,5 BC (ns) RDclk(ns) Respect to previous matrix architectures : Wider margin on MST>BC condition (no scan buffer) Higher efficiencies (no freezing) Mean Sweeping Time (MST) > BC Since we perform an independent sweep for each BC period, this is an UNAFFORDABLE WORKING CONDITION NO sensor efficiency NO pixel reset dead time ONLY SWEEPING DEAD TIME. Matrix+Sweeper simulations

22 Linear BC span ,97 99,95 99,95 99,93 99,9 99,90 99,88 99,87 99,87 99,78 99,70 99, ,96 99,95 99,95 99,92 99,9 99,89 99,88 99,86 99,86 99,77 99,70 99, ,95 99,95 99,94 99,9 99,9 99,89 99,87 99,86 99,85 99,76 99,68 99,6 8 99,93 99,93 99,92 99,9 99,89 99,88 99,86 99,86 99,85 99,74 99,67 99, ,40 99,9 99,9 99,90 99,89 99,87 99,86 99,85 99,84 99,73 99,66 99, ,33 99,07 99,89 99,89 99,88 99,87 99,85 99,84 99,84 99,73 99,65 99, ,95 92,73 95,86 99,72 99,85 99,85 99,84 99,83 99,83 99,72 99,63 99, ,3 89,20 88,78 87,92 88,07 9,8 93,89 96,34 98,70 99,69 99,6 99,5 BC (ns) RDclk(ns) Respect to previous matrix architectures : Wider margin on MST>BC condition (no scan buffer) Higher efficiencies (no freezing) Mean Sweeping Time (MST) > BC Since we perform an independent sweep for each BC period, this is an UNAFFORDABLE WORKING CONDITION NO sensor efficiency NO pixel reset dead time ONLY SWEEPING DEAD TIME. Matrix+Sweeper simulations

23 SWEEPING Efficiencies (%) 99,95 99,90 99,85 99,80 99,75 99,70 99,65 99,60 RD (ns) ,55 99, BC (ns) NO MST>BC points plotted. Matrix+Sweeper simulations

24 . High statistic simulations with Matrix and Sweeper ONLY: The evaluated inefficiency depends only on how long it takes to extract a hit from the matrix. No readout no readout bottlenecks taken into account. 2. High statistic simulations of the whole architecture: New matrix New sweeper OLD SuperPX0 readout AS IS (sparsification and dequeuing logic). Simulation overview

25 Modelsim TCL script Packages Sources Matrix Test Bench VHDL VHDL VHDL VHDL Compiler Parameter lists for the loop Work library Looped VSIM Simulator Hits cross-check C++ Program invoked Sim Reports For synthesis Hit cross-check report Sim. only 2. Full architecture simulations

26 Matrix VHDL Behavioral model of digital pixel logic Tunable Monte Carlo for hit generation at pixel level Efficiency evaluation logic Test Bench VHDL Consistency check of package parameters (dimensions, subdivisions ) Chip acquisition initialization through Slow Control port (I 2 C emulation) ASCII reports for the cross check of the hits Generated hits report (Monte Carlo report) Readout hits report (Output Data Bus report) General simulation report sim. properties parameters efficiencies monitors. 2. Full architecture simulations

27 Efficiency results: - High statistic runs: - 2ms simulated per run ~250K hit per run - 5h CPU time per run - Again NOT taken into account: - sensor efficiency (assumed 00%) - pixel reset dead time (assumed few ns) BC (ns) RD (ns) Values averaged over the 4 submatrices. - Consistent with sweeper+matrix only simulations - Readout de-queuing efficiency 00% (no barrel overflows) - Hit check results: 00 % match. - Fast_clock 4 x RDclk (output bus frequency) 2. Full architecture simulations

28 Efficiency results: Compare with SuperPX0. Improvements mainly due to: - Reduced pixel dead time (no x6 factor due to MP freezed area) - No more Scan Buffer overflows BC (ns) RD (ns) efficiency results from similar simulations of SuperPX0 readout 2. Full architecture simulations

29 Simulations shows that for even smaller BC period (50 00 ns): Time sorting de-queuing algorithm suddenly slow down. (more time windows to manage more complexity) Barrel overflow more frequent. Steps already taken to reach the BC=00 ns working point: REINFORCEMENT for critical components (barrels, concentrators ) IMPROVEMENTS and OPTIMIZATION in other areas Good chances to reach 00 ns BC with few modifications. Improvements...

30 New matrix architecture modeled New sweeper logic implemented Full chip integration successful Simulations showed excellent results down to 200 ns of BC recycling SuperPX0 de-queuing system AS IS (it was designed for BC down to us). Further improvements under investigation to reach even smaller time windows and wider margins on Barrel overflows. Conclusions

Efficiency and readout architectures for a large matrix of pixels

Efficiency and readout architectures for a large matrix of pixels Efficiency and readout architectures for a large matrix of pixels A. Gabrielli INFN and University of Bologna INFN and University of Bologna E-mail: giorgi@bo.infn.it M. Villa INFN and University of Bologna

More information

Updates on the R&D for the SVT Front End Readout chips

Updates on the R&D for the SVT Front End Readout chips Updates on the R&D for the SVT Front End Readout chips F.M. Giorgi INFN Bologna 5/31/2011 F.M.Giorgi XVII SuperB Workshop - La Biodola Isola d Elba 1 Summary Strip readout architecture Investigated architecture

More information

The front-end chip of the SuperB SVT detector

The front-end chip of the SuperB SVT detector The front-end chip of the SuperB SVT detector F. Giorgi INFN and University of Bologna, Italy On behalf of the SuperB SVT collaboration C. Avanzini, G. Batignani, S. Bettarini, F. Bosi, G. Calderini, G.

More information

Status of SVT front-end electronics M. Citterio on behalf of INFN and University of Milan

Status of SVT front-end electronics M. Citterio on behalf of INFN and University of Milan XVII SuperB Workshop and Kick Off Meeting: ETD3 Parallel Session Status of SVT front-end electronics M. Citterio on behalf of INFN and University of Milan Index SVT: system status Parameter space Latest

More information

The SuperB Silicon Vertex Tracker and 3D Vertical Integration

The SuperB Silicon Vertex Tracker and 3D Vertical Integration The SuperB Silicon Vertex Tracker and 3D Vertical Integration 1 University of Bergamo and INFN, Sezione di Pavia Department of Industrial Engineering, Viale Marconi 5, 24044 Dalmine (BG), Italy, E-mail:

More information

The DMILL readout chip for the CMS pixel detector

The DMILL readout chip for the CMS pixel detector The DMILL readout chip for the CMS pixel detector Wolfram Erdmann Institute for Particle Physics Eidgenössische Technische Hochschule Zürich Zürich, SWITZERLAND 1 Introduction The CMS pixel detector will

More information

The Architecture of the BTeV Pixel Readout Chip

The Architecture of the BTeV Pixel Readout Chip The Architecture of the BTeV Pixel Readout Chip D.C. Christian, dcc@fnal.gov Fermilab, POBox 500 Batavia, IL 60510, USA 1 Introduction The most striking feature of BTeV, a dedicated b physics experiment

More information

Simulations Of Busy Probabilities In The ALPIDE Chip And The Upgraded ALICE ITS Detector

Simulations Of Busy Probabilities In The ALPIDE Chip And The Upgraded ALICE ITS Detector Simulations Of Busy Probabilities In The ALPIDE Chip And The Upgraded ALICE ITS Detector a, J. Alme b, M. Bonora e, P. Giubilato c, H. Helstrup a, S. Hristozkov e, G. Aglieri Rinella e, D. Röhrich b, J.

More information

3D activities and plans in Italian HEP labs Valerio Re INFN Pavia and University of Bergamo

3D activities and plans in Italian HEP labs Valerio Re INFN Pavia and University of Bergamo 3D activities and plans in Italian HEP labs Valerio Re INFN Pavia and University of Bergamo 1 Vertical integration technologies in Italian R&D programs In Italy, so far interest for 3D vertical integration

More information

Phase 1 upgrade of the CMS pixel detector

Phase 1 upgrade of the CMS pixel detector Phase 1 upgrade of the CMS pixel detector, INFN & University of Perugia, On behalf of the CMS Collaboration. IPRD conference, Siena, Italy. Oct 05, 2016 1 Outline The performance of the present CMS pixel

More information

SPADIC 1.0. Tim Armbruster. FEE/DAQ Workshop Mannheim. January Visit

SPADIC 1.0. Tim Armbruster. FEE/DAQ Workshop Mannheim. January Visit SPADIC 1.0 Tim Armbruster tim.armbruster@ziti.uni-heidelberg.de FEE/DAQ Workshop Mannheim Schaltungstechnik Schaltungstechnik und und January 2012 Visit http://www.spadic.uni-hd.de 1. SPADIC Architecture

More information

Front-End and Readout Electronics for Silicon Trackers at the ILC

Front-End and Readout Electronics for Silicon Trackers at the ILC 2005 International Linear Collider Workshop - Stanford, U.S.A. Front-End and Readout Electronics for Silicon Trackers at the ILC M. Dhellot, J-F. Genat, H. Lebbolo, T-H. Pham, and A. Savoy Navarro LPNHE

More information

A 130nm CMOS Evaluation Digitizer Chip for Silicon Strips readout at the ILC

A 130nm CMOS Evaluation Digitizer Chip for Silicon Strips readout at the ILC A 130nm CMOS Evaluation Digitizer Chip for Silicon Strips readout at the ILC Jean-Francois Genat Thanh Hung Pham on behalf of W. Da Silva 1, J. David 1, M. Dhellot 1, D. Fougeron 2, R. Hermel 2, J-F. Huppert

More information

INF3430 Clock and Synchronization

INF3430 Clock and Synchronization INF3430 Clock and Synchronization P.P.Chu Using VHDL Chapter 16.1-6 INF 3430 - H12 : Chapter 16.1-6 1 Outline 1. Why synchronous? 2. Clock distribution network and skew 3. Multiple-clock system 4. Meta-stability

More information

Firmware development and testing of the ATLAS IBL Read-Out Driver card

Firmware development and testing of the ATLAS IBL Read-Out Driver card Firmware development and testing of the ATLAS IBL Read-Out Driver card *a on behalf of the ATLAS Collaboration a University of Washington, Department of Electrical Engineering, Seattle, WA 98195, U.S.A.

More information

Data Quality Monitoring of the CMS Pixel Detector

Data Quality Monitoring of the CMS Pixel Detector Data Quality Monitoring of the CMS Pixel Detector 1 * Purdue University Department of Physics, 525 Northwestern Ave, West Lafayette, IN 47906 USA E-mail: petra.merkel@cern.ch We present the CMS Pixel Data

More information

Belle Monolithic Thin Pixel Upgrade -- Update

Belle Monolithic Thin Pixel Upgrade -- Update Belle Monolithic Thin Pixel Upgrade -- Update Gary S. Varner On Behalf of the Pixel Gang (Marlon, Fang, ) Local Belle Meeting March 2004 Univ. of Hawaii Today s delta Have shown basic scheme before Testing

More information

A Cosmic Muon Tracking Algorithm for the CMS RPC based Technical Trigger

A Cosmic Muon Tracking Algorithm for the CMS RPC based Technical Trigger A Cosmic Muon Tracking Algorithm for the CMS RPC based Technical Trigger by Rajan Raj Thilak Department of Physics University of Bari INFN on behalf of the CMS RPC-Trigger Group (Bari, Frascati, Sofia,

More information

The High-Voltage Monolithic Active Pixel Sensor for the Mu3e Experiment

The High-Voltage Monolithic Active Pixel Sensor for the Mu3e Experiment The High-Voltage Monolithic Active Pixel Sensor for the Mu3e Experiment Shruti Shrestha On Behalf of the Mu3e Collaboration International Conference on Technology and Instrumentation in Particle Physics

More information

Readout architecture for the Pixel-Strip (PS) module of the CMS Outer Tracker Phase-2 upgrade

Readout architecture for the Pixel-Strip (PS) module of the CMS Outer Tracker Phase-2 upgrade Readout architecture for the Pixel-Strip (PS) module of the CMS Outer Tracker Phase-2 upgrade Alessandro Caratelli Microelectronic System Laboratory, École polytechnique fédérale de Lausanne (EPFL), Lausanne,

More information

Development of SiTCP Based Readout System for Pixel Detector Upgrade in ATLAS Experiment

Development of SiTCP Based Readout System for Pixel Detector Upgrade in ATLAS Experiment Development of SiTCP Based Readout System for Pixel Detector Upgrade in ATLAS Experiment J.J. Teoh, K. Hanagaki, M. Garcia-Sciveres B, Y. Ikegami A, O. Jinnouchi D, R. Takashima C, Y. Takubo A, S. Terada

More information

The on-line detectors of the beam delivery system for the Centro Nazionale di Adroterapia Oncologica(CNAO)

The on-line detectors of the beam delivery system for the Centro Nazionale di Adroterapia Oncologica(CNAO) The on-line detectors of the beam delivery system for the Centro Nazionale di Adroterapia Oncologica(CNAO) A. Ansarinejad1,2, A. Attili1, F. Bourhaleb2,R. Cirio1,2,M. Donetti1,3, M. A. Garella1, S. Giordanengo1,

More information

Chromatic X-Ray imaging with a fine pitch CdTe sensor coupled to a large area photon counting pixel ASIC

Chromatic X-Ray imaging with a fine pitch CdTe sensor coupled to a large area photon counting pixel ASIC Chromatic X-Ray imaging with a fine pitch CdTe sensor coupled to a large area photon counting pixel ASIC R. Bellazzini a,b, G. Spandre a*, A. Brez a, M. Minuti a, M. Pinchera a and P. Mozzo b a INFN Pisa

More information

PARISROC, a Photomultiplier Array Integrated Read Out Chip

PARISROC, a Photomultiplier Array Integrated Read Out Chip PARISROC, a Photomultiplier Array Integrated Read Out Chip S. Conforti Di Lorenzo a, J.E. Campagne b, F. Dulucq a, C. de La Taille a, G. Martin-Chassard a, M. El Berni a, W. Wei c a OMEGA/LAL/IN2P3, centre

More information

Multi-Channel Charge Pulse Amplification, Digitization and Processing ASIC for Detector Applications

Multi-Channel Charge Pulse Amplification, Digitization and Processing ASIC for Detector Applications 1.0 Multi-Channel Charge Pulse Amplification, Digitization and Processing ASIC for Detector Applications Peter Fischer for Tim Armbruster, Michael Krieger and Ivan Peric Heidelberg University Motivation

More information

Image processing. Case Study. 2-diemensional Image Convolution. From a hardware perspective. Often massively yparallel.

Image processing. Case Study. 2-diemensional Image Convolution. From a hardware perspective. Often massively yparallel. Case Study Image Processing Image processing From a hardware perspective Often massively yparallel Can be used to increase throughput Memory intensive Storage size Memory bandwidth -diemensional Image

More information

Development of a sampling ASIC for fast detector signals

Development of a sampling ASIC for fast detector signals Development of a sampling ASIC for fast detector signals Hervé Grabas Work done in collaboration with Henry Frisch, Jean-François Genat, Eric Oberla, Gary Varner, Eric Delagnes, Dominique Breton. Signal

More information

Method We follow- How to Get Entry Pass in SEMICODUCTOR Industries for 2 nd year engineering students

Method We follow- How to Get Entry Pass in SEMICODUCTOR Industries for 2 nd year engineering students Method We follow- How to Get Entry Pass in SEMICODUCTOR Industries for 2 nd year engineering students FIG-2 Winter/Summer Training Level 1 (Basic & Mandatory) & Level 1.1 continues. Winter/Summer Training

More information

Design and FPGA Implementation of an Adaptive Demodulator. Design and FPGA Implementation of an Adaptive Demodulator

Design and FPGA Implementation of an Adaptive Demodulator. Design and FPGA Implementation of an Adaptive Demodulator Design and FPGA Implementation of an Adaptive Demodulator Sandeep Mukthavaram August 23, 1999 Thesis Defense for the Degree of Master of Science in Electrical Engineering Department of Electrical Engineering

More information

Commissioning and operation of the CDF Silicon detector

Commissioning and operation of the CDF Silicon detector Commissioning and operation of the CDF Silicon detector Saverio D Auria On behalf of the CDF collaboration International conference on Particle Physics and Advanced Technology, Como, Italy, 15-19 October

More information

Lecture 3, Handouts Page 1. Introduction. EECE 353: Digital Systems Design Lecture 3: Digital Design Flows, Simulation Techniques.

Lecture 3, Handouts Page 1. Introduction. EECE 353: Digital Systems Design Lecture 3: Digital Design Flows, Simulation Techniques. Introduction EECE 353: Digital Systems Design Lecture 3: Digital Design Flows, Techniques Cristian Grecu grecuc@ece.ubc.ca Course web site: http://courses.ece.ubc.ca/353/ What have you learned so far?

More information

CMOS Today & Tomorrow

CMOS Today & Tomorrow CMOS Today & Tomorrow Uwe Pulsfort TDALSA Product & Application Support Overview Image Sensor Technology Today Typical Architectures Pixel, ADCs & Data Path Image Quality Image Sensor Technology Tomorrow

More information

ITk silicon strips detector test beam at DESY

ITk silicon strips detector test beam at DESY ITk silicon strips detector test beam at DESY Lucrezia Stella Bruni Nikhef Nikhef ATLAS outing 29/05/2015 L. S. Bruni - Nikhef 1 / 11 Qualification task I Participation at the ITk silicon strip test beams

More information

ATLAS R&D CMOS SENSOR FOR ITK

ATLAS R&D CMOS SENSOR FOR ITK 30th march 2017 FCPPL 2017 workshop - Beijing/China - P. Pangaud 1 ATLAS R&D CMOS SENSOR FOR ITK FCPPL 2017 Beijing, CHINA Patrick Pangaud CPPM pangaud@cppm.in2p3.fr 30 March 2017 On behalf of the ATLAS

More information

SUMMARY/DIALOGUE 2 PRESHAPE PIXEL OVERVIEW 3 BRIEF OPERATING INSTRUCTIONS 3 PRESHAPE PIXEL SIMULATION: EXAMPLE OPERATION 4 PRESHAPE PIXEL SIMULATION:

SUMMARY/DIALOGUE 2 PRESHAPE PIXEL OVERVIEW 3 BRIEF OPERATING INSTRUCTIONS 3 PRESHAPE PIXEL SIMULATION: EXAMPLE OPERATION 4 PRESHAPE PIXEL SIMULATION: SUMMARY/DIALOGUE 2 PRESHAPE PIXEL OVERVIEW 3 BRIEF OPERATING INSTRUCTIONS 3 PRESHAPE PIXEL SIMULATION: EXAMPLE OPERATION 4 PRESHAPE PIXEL SIMULATION: SMALL SIGNALS AROUND THRESHOLD 5 PRESHAPE PIXEL SIMULATION:

More information

Status of Front-end chip development at Paris ongoing R&D at LPNHE-Paris

Status of Front-end chip development at Paris ongoing R&D at LPNHE-Paris Status of Front-end chip development at Paris ongoing R&D at LPNHE-Paris Paris in the framework of the SiLC R&D Collaboration Jean-Francois Genat, Thanh Hung Pham, Herve Lebbolo, Marc Dhellot and Aurore

More information

Implementing Logic with the Embedded Array

Implementing Logic with the Embedded Array Implementing Logic with the Embedded Array in FLEX 10K Devices May 2001, ver. 2.1 Product Information Bulletin 21 Introduction Altera s FLEX 10K devices are the first programmable logic devices (PLDs)

More information

A MAPS-based readout for a Tera-Pixel electromagnetic calorimeter at the ILC

A MAPS-based readout for a Tera-Pixel electromagnetic calorimeter at the ILC A MAPS-based readout for a Tera-Pixel electromagnetic calorimeter at the ILC STFC-Rutherford Appleton Laboratory Y. Mikami, O. Miller, V. Rajovic, N.K. Watson, J.A. Wilson University of Birmingham J.A.

More information

A NOVEL VISION SYSTEM-ON-CHIP FOR EMBEDDED IMAGE ACQUISITION AND PROCESSING

A NOVEL VISION SYSTEM-ON-CHIP FOR EMBEDDED IMAGE ACQUISITION AND PROCESSING A NOVEL VISION SYSTEM-ON-CHIP FOR EMBEDDED IMAGE ACQUISITION AND PROCESSING Neuartiges System-on-Chip für die eingebettete Bilderfassung und -verarbeitung Dr. Jens Döge, Head of Image Acquisition and Processing

More information

PoS(TIPP2014)382. Test for the mitigation of the Single Event Upset for ASIC in 130 nm technology

PoS(TIPP2014)382. Test for the mitigation of the Single Event Upset for ASIC in 130 nm technology Test for the mitigation of the Single Event Upset for ASIC in 130 nm technology Ilaria BALOSSINO E-mail: balossin@to.infn.it Daniela CALVO E-mail: calvo@to.infn.it E-mail: deremigi@to.infn.it Serena MATTIAZZO

More information

Buffered LABRADOR (BLAB3) Design Review. Gary S. Varner 4 NOV 09

Buffered LABRADOR (BLAB3) Design Review. Gary S. Varner 4 NOV 09 Buffered LABRADOR (BLAB3) Design Review Gary S. Varner 4 NOV 09 Baseline confirmation Goals for today Ice Radio Sampler (IRS) as sampling/storage array basis High rate/long latency architecture Review

More information

Datorstödd Elektronikkonstruktion

Datorstödd Elektronikkonstruktion Datorstödd Elektronikkonstruktion [Computer Aided Design of Electronics] Zebo Peng, Petru Eles and Gert Jervan Embedded Systems Laboratory IDA, Linköping University http://www.ida.liu.se/~tdts80/~tdts80

More information

2 nd ACES workshop, CERN. Hans-Christian Kästli, PSI

2 nd ACES workshop, CERN. Hans-Christian Kästli, PSI CMS Pixel Upgrade 2 nd ACES workshop, CERN Hans-Christian Kästli, PSI 3.3.2009 Scope Phase I (~2013): CMS pixel detector designed for fast insertion/removal Can replace system during normal shutdown Planned

More information

Monolithic Pixel Development in 180 nm CMOS for the Outer Pixel Layers in the ATLAS Experiment

Monolithic Pixel Development in 180 nm CMOS for the Outer Pixel Layers in the ATLAS Experiment Monolithic Pixel Development in 180 nm CMOS for the Outer Pixel Layers in the ATLAS Experiment a, R. Bates c, C. Buttar c, I. Berdalovic a, B. Blochet a, R. Cardella a, M. Dalla d, N. Egidos Plaja a, T.

More information

CMS Tracker Upgrades. R&D Plans, Present Status and Perspectives. Benedikt Vormwald Hamburg University on behalf of the CMS collaboration

CMS Tracker Upgrades. R&D Plans, Present Status and Perspectives. Benedikt Vormwald Hamburg University on behalf of the CMS collaboration R&D Plans, Present Status and Perspectives Benedikt Vormwald Hamburg University on behalf of the CMS collaboration EPS-HEP 2015 Vienna, 22.-29.07.2015 CMS Tracker Upgrade Program LHC HL-LHC ECM[TeV] 7-8

More information

A SPAD-Based, Direct Time-of-Flight, 64 Zone, 15fps, Parallel Ranging Device Based on 40nm CMOS SPAD Technology

A SPAD-Based, Direct Time-of-Flight, 64 Zone, 15fps, Parallel Ranging Device Based on 40nm CMOS SPAD Technology A SPAD-Based, Direct Time-of-Flight, 64 Zone, 15fps, Parallel Ranging Device Based on 40nm CMOS SPAD Technology Pascal Mellot / Bruce Rae 27 th February 2018 Summary 2 Introduction to ranging device Summary

More information

A new strips tracker for the upgraded ATLAS ITk detector

A new strips tracker for the upgraded ATLAS ITk detector A new strips tracker for the upgraded ATLAS ITk detector, on behalf of the ATLAS Collaboration : 11th International Conference on Position Sensitive Detectors 3-7 The Open University, Milton Keynes, UK.

More information

Data Acquisition System for the Angra Project

Data Acquisition System for the Angra Project Angra Neutrino Project AngraNote 012-2009 (Draft) Data Acquisition System for the Angra Project H. P. Lima Jr, A. F. Barbosa, R. G. Gama Centro Brasileiro de Pesquisas Físicas - CBPF L. F. G. Gonzalez

More information

R D 5 3 R D 5 3. Recent Progress of RD53 Collaboration towards next generation Pixel ROC for HL_LHC

R D 5 3 R D 5 3. Recent Progress of RD53 Collaboration towards next generation Pixel ROC for HL_LHC R D 5 3 Recent Progress of RD53 Collaboration towards next generation Pixel ROC for HL_LHC L. Demaria - INFN / Torino on behalf of RD53 Collaboration 1 Talk layout 1. Introduction 2. RD53 Organization

More information

http://clicdp.cern.ch Hybrid Pixel Detectors with Active-Edge Sensors for the CLIC Vertex Detector Simon Spannagel on behalf of the CLICdp Collaboration Experimental Conditions at CLIC CLIC beam structure

More information

A Foveated Visual Tracking Chip

A Foveated Visual Tracking Chip TP 2.1: A Foveated Visual Tracking Chip Ralph Etienne-Cummings¹, ², Jan Van der Spiegel¹, ³, Paul Mueller¹, Mao-zhu Zhang¹ ¹Corticon Inc., Philadelphia, PA ²Department of Electrical Engineering, Southern

More information

EUDET Pixel Telescope Copies

EUDET Pixel Telescope Copies EUDET Pixel Telescope Copies Ingrid-Maria Gregor, DESY December 18, 2010 Abstract A high resolution beam telescope ( 3µm) based on monolithic active pixel sensors was developed within the EUDET collaboration.

More information

Overview 256 channel Silicon Photomultiplier large area using matrix readout system The SensL Matrix detector () is the largest area, highest channel

Overview 256 channel Silicon Photomultiplier large area using matrix readout system The SensL Matrix detector () is the largest area, highest channel 技股份有限公司 wwwrteo 公司 wwwrteo.com Page 1 Overview 256 channel Silicon Photomultiplier large area using matrix readout system The SensL Matrix detector () is the largest area, highest channel count, Silicon

More information

Section 1. Fundamentals of DDS Technology

Section 1. Fundamentals of DDS Technology Section 1. Fundamentals of DDS Technology Overview Direct digital synthesis (DDS) is a technique for using digital data processing blocks as a means to generate a frequency- and phase-tunable output signal

More information

4.5.1 Mirroring Gain/Offset Registers GPIO CMV Snapshot Control... 14

4.5.1 Mirroring Gain/Offset Registers GPIO CMV Snapshot Control... 14 Thank you for choosing the MityCAM-C8000 from Critical Link. The MityCAM-C8000 MityViewer Quick Start Guide will guide you through the software installation process and the steps to acquire your first

More information

SEU Hardening Techniques for Retargetable, Scalable, Sub-Micron Digital Circuits and Libraries*

SEU Hardening Techniques for Retargetable, Scalable, Sub-Micron Digital Circuits and Libraries* SEU Hardening Techniques for Retargetable, Scalable, Sub-Micron Digital Circuits and Libraries* M. P. Baze, J. C. Killens, R. A. Paup, W. P. Snapp Boeing Space and Communications Seattle, WA * Work supported

More information

Requirements and Specifications of the TDC for the ATLAS Precision Muon Tracker

Requirements and Specifications of the TDC for the ATLAS Precision Muon Tracker ATLAS Internal Note MUON-NO-179 14 May 1997 Requirements and Specifications of the TDC for the ATLAS Precision Muon Tracker Yasuo Arai KEK, National High Energy Accelerator Research Organization Institute

More information

Power Efficient Digital LDO Regulator with Transient Response Boost Technique K.K.Sree Janani 1, M.Balasubramani 2

Power Efficient Digital LDO Regulator with Transient Response Boost Technique K.K.Sree Janani 1, M.Balasubramani 2 Power Efficient Digital LDO Regulator with Transient Response Boost Technique K.K.Sree Janani 1, M.Balasubramani 2 1 PG student, Department of ECE, Vivekanandha College of Engineering for Women. 2 Assistant

More information

Decision Based Median Filter Algorithm Using Resource Optimized FPGA to Extract Impulse Noise

Decision Based Median Filter Algorithm Using Resource Optimized FPGA to Extract Impulse Noise Journal of Embedded Systems, 2014, Vol. 2, No. 1, 18-22 Available online at http://pubs.sciepub.com/jes/2/1/4 Science and Education Publishing DOI:10.12691/jes-2-1-4 Decision Based Median Filter Algorithm

More information

Low Power Sensor Concepts

Low Power Sensor Concepts Low Power Sensor Concepts Konstantin Stefanov 11 February 2015 Introduction The Silicon Pixel Tracker (SPT): The main driver is low detector mass Low mass is enabled by low detector power Benefits the

More information

Electronic Readout System for Belle II Imaging Time of Propagation Detector

Electronic Readout System for Belle II Imaging Time of Propagation Detector Electronic Readout System for Belle II Imaging Time of Propagation Detector Dmitri Kotchetkov University of Hawaii at Manoa for Belle II itop Detector Group March 3, 2017 Barrel Particle Identification

More information

Chapter 4 Vertex. Qun Ouyang. Nov.10 th, 2017Beijing. CEPC detector CDR mini-review

Chapter 4 Vertex. Qun Ouyang. Nov.10 th, 2017Beijing. CEPC detector CDR mini-review Chapter 4 Vertex Qun Ouyang Nov.10 th, 2017Beijing Nov.10 h, 2017 CEPC detector CDR mini-review CEPC detector CDR mini-review Contents: 4 Vertex Detector 4.1 Performance Requirements and Detector Challenges

More information

ALPS: An Automatic Layouter for Pass-Transistor Cell Synthesis

ALPS: An Automatic Layouter for Pass-Transistor Cell Synthesis ALPS: An Automatic Layouter for Pass-Transistor Cell Synthesis Yasuhiko Sasaki Central Research Laboratory Hitachi, Ltd. Kokubunji, Tokyo, 185, Japan Kunihito Rikino Hitachi Device Engineering Kokubunji,

More information

Results of FE65-P2 Pixel Readout Test Chip for High Luminosity LHC Upgrades

Results of FE65-P2 Pixel Readout Test Chip for High Luminosity LHC Upgrades for High Luminosity LHC Upgrades R. Carney, K. Dunne, *, D. Gnani, T. Heim, V. Wallangen Lawrence Berkeley National Lab., Berkeley, USA e-mail: mgarcia-sciveres@lbl.gov A. Mekkaoui Fermilab, Batavia, USA

More information

The CMS Silicon Strip Tracker and its Electronic Readout

The CMS Silicon Strip Tracker and its Electronic Readout The CMS Silicon Strip Tracker and its Electronic Readout Markus Friedl Dissertation May 2001 M. Friedl The CMS Silicon Strip Tracker and its Electronic Readout 2 Introduction LHC Large Hadron Collider:

More information

Electron-Bombarded CMOS

Electron-Bombarded CMOS New Megapixel Single Photon Position Sensitive HPD: Electron-Bombarded CMOS University of Lyon / CNRS-IN2P3 in collaboration with J. Baudot, E. Chabanat, P. Depasse, W. Dulinski, N. Estre, M. Winter N56:

More information

Development of the FVTX trigger

Development of the FVTX trigger Development of the FVTX trigger Rikkyo University Toru Nagashima Nov.7 2014 RadLab student seminar 1 OVERVIEW Physics motivation Test bench setup in RIKEN Timing measurement FVTX trigger design Trigger

More information

Advances in Antenna Measurement Instrumentation and Systems

Advances in Antenna Measurement Instrumentation and Systems Advances in Antenna Measurement Instrumentation and Systems Steven R. Nichols, Roger Dygert, David Wayne MI Technologies Suwanee, Georgia, USA Abstract Since the early days of antenna pattern recorders,

More information

ADC Measurements PARISROC Chip. Selma Conforti Di Lorenzo OMEGA/LAL Orsay

ADC Measurements PARISROC Chip. Selma Conforti Di Lorenzo OMEGA/LAL Orsay ADC Measurements PARISROC Chip Selma Conforti Di Lorenzo OMEGA/LAL Orsay PARISROC ADC Measurements Ecole Microélectronique_11/16 octobre 2009 conforti@lal.in2p3.fr 2 TEST BOARD TEST BENCH ASIC FPGA USB

More information

Sno Projects List IEEE. High - Throughput Finite Field Multipliers Using Redundant Basis For FPGA And ASIC Implementations

Sno Projects List IEEE. High - Throughput Finite Field Multipliers Using Redundant Basis For FPGA And ASIC Implementations Sno Projects List IEEE 1 High - Throughput Finite Field Multipliers Using Redundant Basis For FPGA And ASIC Implementations 2 A Generalized Algorithm And Reconfigurable Architecture For Efficient And Scalable

More information

A HIGH PERFORMANCE HARDWARE ARCHITECTURE FOR HALF-PIXEL ACCURATE H.264 MOTION ESTIMATION

A HIGH PERFORMANCE HARDWARE ARCHITECTURE FOR HALF-PIXEL ACCURATE H.264 MOTION ESTIMATION A HIGH PERFORMANCE HARDWARE ARCHITECTURE FOR HALF-PIXEL ACCURATE H.264 MOTION ESTIMATION Sinan Yalcin and Ilker Hamzaoglu Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Tuzla,

More information

SiD Workshop RAL Apr Nigel Watson Birmingham University. Overview Testing Summary

SiD Workshop RAL Apr Nigel Watson Birmingham University. Overview Testing Summary MAPS ECAL SiD Workshop RAL 14-16 Apr 2008 Nigel Watson Birmingham University Overview Testing Summary For the CALICE MAPS group J.P.Crooks, M.M.Stanitzki, K.D.Stefanov, R.Turchetta, M.Tyndel, E.G.Villani

More information

Single Electron Interference and Diffraction Experiments with a High Energy Physics Detector

Single Electron Interference and Diffraction Experiments with a High Energy Physics Detector Single Electron Interference and Diffraction Experiments with a High Energy Physics Detector G.L. Alberghi (1,2), S. Frabboni (3), A. Gabrielli (1,2), G.C. Gazzadi (3) F. Giorgi (1), G. Matteucci (2),

More information

A Fast Waveform-Digitizing ASICbased DAQ for a Position & Time Sensing Large-Area Photo-Detector System

A Fast Waveform-Digitizing ASICbased DAQ for a Position & Time Sensing Large-Area Photo-Detector System A Fast Waveform-Digitizing ASICbased DAQ for a Position & Time Sensing Large-Area Photo-Detector System Eric Oberla on behalf of the LAPPD collaboration PHOTODET 2012 12-June-2012 Outline LAPPD overview:

More information

A Prototype Amplifier-Discriminator Chip for the GLAST Silicon-Strip Tracker

A Prototype Amplifier-Discriminator Chip for the GLAST Silicon-Strip Tracker A Prototype Amplifier-Discriminator Chip for the GLAST Silicon-Strip Tracker Robert P. Johnson Pavel Poplevin Hartmut Sadrozinski Ned Spencer Santa Cruz Institute for Particle Physics The GLAST Project

More information

A Low-Offset Latched Comparator Using Zero-Static Power Dynamic Offset Cancellation Technique

A Low-Offset Latched Comparator Using Zero-Static Power Dynamic Offset Cancellation Technique 1 A Low-Offset Latched Comparator Using Zero-Static Power Dynamic Offset Cancellation Technique Masaya Miyahara and Akira Matsuzawa Tokyo Institute of Technology, Japan 2 Outline Motivation Design Concept

More information

Picosecond time measurement using ultra fast analog memories.

Picosecond time measurement using ultra fast analog memories. Picosecond time measurement using ultra fast analog memories. Dominique Breton a, Eric Delagnes b, Jihane Maalmi a acnrs/in2p3/lal-orsay, bcea/dsm/irfu breton@lal.in2p3.fr Abstract The currently existing

More information

Samsung S5K3L1YX Mp, 1/3.2 Inch Optical Format 1.12 µm Pixel Pitch Back Illuminated (BSI) CMOS Image Sensor

Samsung S5K3L1YX Mp, 1/3.2 Inch Optical Format 1.12 µm Pixel Pitch Back Illuminated (BSI) CMOS Image Sensor Samsung S5K3L1YX03 12.1 Mp, 1/3.2 Inch Optical Format 1.12 µm Pixel Pitch Back Illuminated (BSI) CMOS Image Sensor Circuit Analysis of Pixel Array, Row Drivers, Column Readouts, Ramp Generator, DPLL, MIPI

More information

J. E. Brau, N. B. Sinev, D. M. Strom University of Oregon, Eugene. C. Baltay, H. Neal, D. Rabinowitz Yale University, New Haven

J. E. Brau, N. B. Sinev, D. M. Strom University of Oregon, Eugene. C. Baltay, H. Neal, D. Rabinowitz Yale University, New Haven Chronopixe status J. E. Brau, N. B. Sinev, D. M. Strom University of Oregon, Eugene C. Baltay, H. Neal, D. Rabinowitz Yale University, New Haven EE work is contracted to Sarnoff Corporation 1 Outline of

More information

Simple Impulse Noise Cancellation Based on Fuzzy Logic

Simple Impulse Noise Cancellation Based on Fuzzy Logic Simple Impulse Noise Cancellation Based on Fuzzy Logic Chung-Bin Wu, Bin-Da Liu, and Jar-Ferr Yang wcb@spic.ee.ncku.edu.tw, bdliu@cad.ee.ncku.edu.tw, fyang@ee.ncku.edu.tw Department of Electrical Engineering

More information

Silicon Sensor and Detector Developments for the CMS Tracker Upgrade

Silicon Sensor and Detector Developments for the CMS Tracker Upgrade Silicon Sensor and Detector Developments for the CMS Tracker Upgrade Università degli Studi di Firenze and INFN Sezione di Firenze E-mail: candi@fi.infn.it CMS has started a campaign to identify the future

More information

Page 1/10 Digilent Analog Discovery (DAD) Tutorial 6-Aug-15. Figure 2: DAD pin configuration

Page 1/10 Digilent Analog Discovery (DAD) Tutorial 6-Aug-15. Figure 2: DAD pin configuration Page 1/10 Digilent Analog Discovery (DAD) Tutorial 6-Aug-15 INTRODUCTION The Diligent Analog Discovery (DAD) allows you to design and test both analog and digital circuits. It can produce, measure and

More information

L1 Track Finding For a TiME Multiplexed Trigger

L1 Track Finding For a TiME Multiplexed Trigger V INFIERI WORKSHOP AT CERN 27/29 APRIL 215 L1 Track Finding For a TiME Multiplexed Trigger DAVIDE CIERI, K. HARDER, C. SHEPHERD, I. TOMALIN (RAL) M. GRIMES, D. NEWBOLD (UNIVERSITY OF BRISTOL) I. REID (BRUNEL

More information

RTTY: an FSK decoder program for Linux. Jesús Arias (EB1DIX)

RTTY: an FSK decoder program for Linux. Jesús Arias (EB1DIX) RTTY: an FSK decoder program for Linux. Jesús Arias (EB1DIX) June 15, 2001 Contents 1 rtty-2.0 Program Description. 2 1.1 What is RTTY........................................... 2 1.1.1 The RTTY transmissions.................................

More information

Pixel hybrid photon detectors

Pixel hybrid photon detectors Pixel hybrid photon detectors for the LHCb-RICH system Ken Wyllie On behalf of the LHCb-RICH group CERN, Geneva, Switzerland 1 Outline of the talk Introduction The LHCb detector The RICH 2 counter Overall

More information

PARISROC, a Photomultiplier Array Integrated Read Out Chip.

PARISROC, a Photomultiplier Array Integrated Read Out Chip. PARISROC, a Photomultiplier Array Integrated Read Out Chip. S. Conforti Di Lorenzo*, J.E.Campagne, F. Dulucq*, C. de La Taille*, G. Martin-Chassard*, M. El Berni. LAL/IN2P3, Laboratoire de l Accélérateur

More information

Pixel characterization for the ITS/MFT upgrade. Audrey Francisco

Pixel characterization for the ITS/MFT upgrade. Audrey Francisco Pixel characterization for the ITS/MFT upgrade Audrey Francisco QGP France, Etretat, 14/10/2015 Outline 1 The MFT upgrade 2 Pixel sensor Technology choice Full scale prototypes 3 Characterization campaign

More information

Document Processing for Automatic Color form Dropout

Document Processing for Automatic Color form Dropout Rochester Institute of Technology RIT Scholar Works Articles 12-7-2001 Document Processing for Automatic Color form Dropout Andreas E. Savakis Rochester Institute of Technology Christopher R. Brown Microwave

More information

Introduction to DSP ECE-S352 Fall Quarter 2000 Matlab Project 1

Introduction to DSP ECE-S352 Fall Quarter 2000 Matlab Project 1 Objective: Introduction to DSP ECE-S352 Fall Quarter 2000 Matlab Project 1 This Matlab Project is an extension of the basic correlation theory presented in the course. It shows a practical application

More information

CHAPTER 5 NOVEL CARRIER FUNCTION FOR FUNDAMENTAL FORTIFICATION IN VSI

CHAPTER 5 NOVEL CARRIER FUNCTION FOR FUNDAMENTAL FORTIFICATION IN VSI 98 CHAPTER 5 NOVEL CARRIER FUNCTION FOR FUNDAMENTAL FORTIFICATION IN VSI 5.1 INTRODUCTION This chapter deals with the design and development of FPGA based PWM generation with the focus on to improve the

More information

Analog Peak Detector and Derandomizer

Analog Peak Detector and Derandomizer Analog Peak Detector and Derandomizer G. De Geronimo, A. Kandasamy, P. O Connor Brookhaven National Laboratory IEEE Nuclear Sciences Symposium, San Diego November 7, 2001 Multichannel Readout Alternatives

More information

D16550 IP Core. Configurable UART with FIFO v. 2.25

D16550 IP Core. Configurable UART with FIFO v. 2.25 2017 D16550 IP Core Configurable UART with FIFO v. 2.25 C O M P A N Y O V E R V I E W Digital Core Design is a leading IP Core provider and a SystemonChip design house. The company was founded in 1999

More information

Statistical Timing Analysis of Asynchronous Circuits Using Logic Simulator

Statistical Timing Analysis of Asynchronous Circuits Using Logic Simulator ELECTRONICS, VOL. 13, NO. 1, JUNE 2009 37 Statistical Timing Analysis of Asynchronous Circuits Using Logic Simulator Miljana Lj. Sokolović and Vančo B. Litovski Abstract The lack of methods and tools for

More information

Signal Processing and Display of LFMCW Radar on a Chip

Signal Processing and Display of LFMCW Radar on a Chip Signal Processing and Display of LFMCW Radar on a Chip Abstract The tremendous progress in embedded systems helped in the design and implementation of complex compact equipment. This progress may help

More information

How different FPGA firmware options enable digitizer platforms to address and facilitate multiple applications

How different FPGA firmware options enable digitizer platforms to address and facilitate multiple applications How different FPGA firmware options enable digitizer platforms to address and facilitate multiple applications 1 st of April 2019 Marc.Stackler@Teledyne.com March 19 1 Digitizer definition and application

More information

A 19-bit column-parallel folding-integration/cyclic cascaded ADC with a pre-charging technique for CMOS image sensors

A 19-bit column-parallel folding-integration/cyclic cascaded ADC with a pre-charging technique for CMOS image sensors LETTER IEICE Electronics Express, Vol.14, No.2, 1 12 A 19-bit column-parallel folding-integration/cyclic cascaded ADC with a pre-charging technique for CMOS image sensors Tongxi Wang a), Min-Woong Seo

More information

MAPS-based ECAL Option for ILC

MAPS-based ECAL Option for ILC MAPS-based ECAL Option for ILC, Spain Konstantin Stefanov On behalf of J. Crooks, P. Dauncey, A.-M. Magnan, Y. Mikami, R. Turchetta, M. Tyndel, G. Villani, N. Watson, J. Wilson v Introduction v ECAL with

More information

Development of CMOS pixel sensors for tracking and vertexing in high energy physics experiments

Development of CMOS pixel sensors for tracking and vertexing in high energy physics experiments PICSEL group Development of CMOS pixel sensors for tracking and vertexing in high energy physics experiments Serhiy Senyukov (IPHC-CNRS Strasbourg) on behalf of the PICSEL group 7th October 2013 IPRD13,

More information

Journal of Engineering Science and Technology Review 9 (5) (2016) Research Article. L. Pyrgas, A. Kalantzopoulos* and E. Zigouris.

Journal of Engineering Science and Technology Review 9 (5) (2016) Research Article. L. Pyrgas, A. Kalantzopoulos* and E. Zigouris. Jestr Journal of Engineering Science and Technology Review 9 (5) (2016) 51-55 Research Article Design and Implementation of an Open Image Processing System based on NIOS II and Altera DE2-70 Board L. Pyrgas,

More information

The Electronics Readout and Measurement of Parameters of. a Monitor System

The Electronics Readout and Measurement of Parameters of. a Monitor System 458 / 1004 The Electronics Readout and Measurement of Parameters of a Monitor System Abdolkazem Ansarinejad 1, Roberto Cirio 2 1 Physics and Accelerators School, Nuclear Science and Technology Research

More information