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Summary of WP9.3 PIXEL INFRASTRUCTURE. David Cussans pp. Ingrid Gregor (coordinator ). AIDA Kick-Off Meeting CERN February 17th 2011. WP9.3 Precision Pixel Detectors.
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Summary of WP9.3PIXEL INFRASTRUCTURE • David Cussans pp. Ingrid Gregor (coordinator) AIDA Kick-Off Meeting CERN February 17th 2011
WP9.3 Precision Pixel Detectors • Development of a versatile beam telescope able to characterize detector prototypes, satisfying the demanding requirements in terms of cooling infrastructure, read-out speed. • The precision telescope is to be built using state-of-the-art pixel devices (TimePix, ATLAS FE-I4 and MIMOSA) • A sophisticated circulating CO2 cooling plant and a container for devices under test • common analysis software • A common DAQ to read out the different detector technologies in a single DAQ is to be developed in close collaboration with task 8.6 • A staged approach is taken. • Based on EUDET pixel telescope • Development of an off-beam infrastructure for the evaluation of thermo-mechanical properties of Vertex Detector prototypes • infrastructure that allows to evaluate the thermo-mechanical performance of fully integrated detector prototypes under a realistic power load.
Outline • Mechanical Infrastructure • AID box • Telescope Arms • Software Infrastructure • DAQ – EUDAQ • Timing/Triggering – TLU • Reconstruction – EUTelescope • Sensors • Mimosa • Timepix • Atlas Pixels • Off-beam • Cooling • Fibre monitoring
AID Box • On-beam: • Beam Telescope • Thin, removable, target • Alignment Investigation Device (AID) Andrei Nomerotski (Oxford University)
AID Box • Aim: alignment studies of Vertex Detector ladders • Four stations with precise adjustable stages • Single station prototype in 2011 Andrei Nomerotski (Oxford University)
Mechanics and Infrastructure • Provides two arms with space for Device Under Test • Sensor spacing and arm spacing adjustable • COTS profiles give flexibility whilst retaining mechanical stability. • Concept proven in EUDET JRA1 beam-telescope. DorrisEkstein, Ingrid Gregor (DESY)
Data Acquisition: EUDAQ • Proven in EUDET • Event based. • Architecture keeps DUT code well factored EmlynCorrin (Geneva)
Data Acquisition: EUDAQ • Have a flexible and user friendly DAQ system • Many users have successfully integrated their systems with EUDAQ • Has been proven (increasingly) user friendly and stable • Some changes needed for AIDA • Tagging trigger mode • Improvements to online monitor • Integration with other DAQs EmlynCorrin (Geneva)
Triggering/Timing Logic Unit: TLU • Designed to give a simple but flexible interface to trigger/timing signals at EUDET JRA1 beam-telescope • Produces triggers from beam scintillators. • EUDET-Memo-2009-4 David Cussans (Bristol)
Triggering/Timing Logic Unit: TLU • Use COTS FPGA development board • Use new FMC standard (enthusiastically adopted by CERN) • Mini-TLU: Double-Width FMC with single LPC connector. • Use e.g. Xilinx SP601 to host. • Design files: http://www.ohwr.org/projects/fmc-mtlu David Cussans (Bristol) 75mm 139mm David Cussans, AIDA Kick-Off, 16-19 Feb 2011 10
Reconstruction: EUTelescope • The Idea: To make a transition in simplest (for user) way from • Data from pixel arrays • to a set of 3D space coordinates of measured hits • and track (fitted) hits in the global frame • Implementation strategy: • not reinvent everything • use existing algorithms as much as possible • Marlin framework chosen: • Backbone of International Linear Collider software (ILCSoft) • Open Source, can be used by non-ILC groups • Highly Modular • Support from DESY IT (Frank Gaede, AIDA WP2) Igor Rubinskiy (DESY)
Reconstruction: EUTelescope • Successfully used since summer 2007 • Different reference sensor technology • analog MAPS telescope data • digital MAPS telescope data • DEPFET telescope data • Provide track inter/extrapolation for DUT between/behind telescope arms • DUT analysis • included in the framework • DEPFET, HV-MAPS • Atlas pixel (PPS, 3D, Diamond) • Mimosa 17, 18, 24, 26 • also interfaced to external analysis software: Atlas groups (ALFA, TRT, Lucid), NA62. TBMonsoftware used by Atlas pixel groups Igor Rubinskiy (DESY)
Sensors: Mimosa • High Spatial resolution, low dead-material, “rolling shutter” • Technology in use in JRA1 beam-telescope • Has been combined with short integration time pixel technology to give nano-second timing with micron resolution. • AIDA: Reticule-sized “demonstrator” • Use ULTIMATE sensor (alias MIMOSA-28) equipping STAR-PXL detector • Pixel Array 1152 x 576 • BinaryReadout (Column-levelDiscriminator) • Characteristics: • 0.35 μmprocesswithhigh-resistivityepitaxiallayer • column // architecture with in-pixel cDS & amplification • end-of-column discrimination and binary charge encoding, followed by Ø • pitch: 20.7 μm :∼ 0.9 million pixels → charge sharing σsp∼ 3.5 μm • tr.o. 200 μs (∼ 5×103 frames/s) : suited to >106 part./cm2/s Marc Winter (IPHC-Strasbourg)
Sensors: MIMAIDA : Final BT Sensor • Prototype multi-reticule (stitchedsensorfor ”large” area detectors: • ∼ 2500×2500 pixels with ∼ 20 μmpitch : 5×5 cm2 sensitive area • σsp ∼ 3.5 μm: requires combining several reticules • stitching process : establish proof of principle :2-sided read-out of ∼ 1250 rows in ∼ 250 μs • (rolling shutter read-out mode) :windowing of :1×5 cm2 (collim. Beam) 50 μs r.o. time Marc Winter (IPHC-Strasbourg)
Sensors: Atlas Pixels • successor of current (50 x 400 μm2) FE-I3 for new IBL • FE-I4 : 19 x 20.2 mm2 • smaller pixels (50 x 250 μm2) lower noise and threshold operation higher data rate compatibility • column drain architecture with local hit storage • IBM 130 nm • arraysize: 80 col. x 336 rows • 26880 pixels, 7x107 transistors • averagehit rate @ 1% inefficiency = 400 MHz/cm2 • max. triggerrate: 200 kHz • FS – prototypeback from foundry: Nov. 2010, tested ~ok Norbert Wermes (Bonn)
Sensors: Atlas Pixels • FE-I4 module based reference planes for a telescope with • high rate and high occupancy capability • large area ~4cm2 • high radiation tolerance (5 x 1015 neq/cm2) • R/O fully integrated in common infrastructure of the „AIDA telescope“ framework: • Mechanics • DAQ-software based on the EUDAQ package • reacts to TLU signal • same readout concept (producer, online monitoring etc.) • Current status • ATLAS FE-I3 assemblies integrated into the EUDET telescope • first FE-I4 assemblies available and working (used with EUDET telescope at DESY test beam) • integration of FE-I4 readout into EUDAQ software framework well advanced Norbert Wermes (Bonn)
Sensors: TimePix Silicon, 3D, CdTe, GaAs, Amorphous Silicon, Gas Amplification, Microchannel Plates etc… A philosophy of functionality built into the pixel matrix allows complex behavior with a minimal inactive region Richard Plackett (Glasgow) Configurable ‘shutter’ allows many different applications 55um square pixel matrix 256 by 256
Sensors: TimePix • 1.7mm spatial resolution • 1ns timing resolution • Up to 5kHz track rate • >1Mhz instantaneous beam rate
Off-Beam: Optical Fibre Sensors • Well know monitoring technologies in aeronautics and civil works based on optical fiber sensors (OFS) • Distributed strain & temperature sensors are conventionally used for structure health monitoring : SMART structures • Other OFS: dosimetry, humidity, B field, acceleration, etc. • In aeronautics (embedded or bonded) on the of the CFRP composite ( for instance, plane radar radome) Ivan Vila Alvarez (IFCA)
cmarinas@ific.uv.es Off-BeamOpen CO2coolingplant CO2plant ATLAS EC Petal • Firstiteration of an open circuitplant (no recirculation) • Furtherimprovementsexpected • Firsttestsonan ATLAS petal at Valencia Ivan Vila Alvarez (IFCA) Fully operational! 27 B2GM7 cmarinas@ific.uv.es
Summary • WP9.3: Environment for developing precision pixel detectors. • Useful “get to know you” session • Prompted useful discussions about strategy, specifications, implementation • Constraints of AIDA budget and scope make lots of creative thinking necessary. • …. However even now it looks as if it will be possible to produce something that is more than the “sum of its parts”