ATLAS Pixel Upgrade

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ATLAS Pixel Upgrade Norwegian CERN Committee review Bergen, 15-16 April 2009 Ole Myren Røhne University of Oslo NO CERN Reveiw 2009- 04-17 1 ATLAS Pixel Upgrade - OMR/UoO

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ATLAS Pixel Upgrade. Norwegian CERN Committee review Bergen, 15-16 April 2009 Ole Myren Røhne University of Oslo. Overview and plans. Phase I: long shutdown after 3 years Phase II: major luminosity upgrade SLHC Past and present activites Plans for phase I and phase II. - PowerPoint PPT Presentation

Transcript of ATLAS Pixel Upgrade

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ATLAS Pixel Upgrade

Norwegian CERN Committee reviewBergen, 15-16 April 2009

Ole Myren RøhneUniversity of Oslo

NO CERN Reveiw 2009-04-17 ATLAS Pixel Upgrade - OMR/UoO

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Overview and plans

• Phase I: long shutdown after 3 years• Phase II: major luminosity upgrade SLHC• Past and present activites• Plans for phase I and phase II

NO CERN Reveiw 2009-04-17

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LHC machine plans

Collimation phase 2

Linac4 + IR upgrade phase 1

New injectors + IR upgrade

phase 2

Early operation

Integrated Luminosity:2008-17: 650 fb-1

2013-17: 550 fb-1

Roland Garoby: Machine intro (LHCC 2008-07-01)

Long Shutdown(8 months)

SLHC Start-up

Peak Luminosity:2017: 3x1034 cm-2s-1

Ultimate: 1x1035 cm-2s-1

INTEGRATED LUMINOSITY

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Phase I: IBL concept• Original ATLAS plans: replace B-layer

after 3 years• Study group recommendation: add

Insertable B-layer (IBL)• Smaller radius beam pipe• Next generation electronics: FE-I4 in

0.13 μm CMOS• Pixel size: 50 × 250 μm2 • Sensor alternatives: n-in-n or 3D –

or even diamond• Cooling alternatives: C3F8 or CO2

• Stave designs: Monostave or Bistave

Giovanni Darbo (Genova): ATLAS IBL (LHCC 2009-02-16)

2.8mm

7.6mm

8mm active

FE-I3 74% FE-I4 ~89%

20.2mm

active16.8mm

~2mm

~200μm

~19 mm

Neal Hartman (LBNL)

Bistave

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Phase I: IBL project organization

• Core estimate: 9 MCHF – including beam pipe• Aiming for installation 2013-2014• IBL project structure being put in place• Draft Technical Design Report (TDR)• Work Breakdown Structure (WBS) defined around

deliverables:– Module (sensors, electronics, bump-bonding)– Stave (loading, opto, internal services)– Integration and installation– Off-detector (DAQ, DCS, Point-1 services)

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Phase II: ATLAS upgrade• Main challenges:

– 400 collisions/BC– Radiation load at inner radius– Beam, cavern backgrounds

• Completely new Inner Detector• Muons and forward calos also need

upgrades• Install in 2018• Core estimate: 250 MCHF• In work: LoI, ready by 2010• MoU by 2011

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Phase II: Inner detector

Several straw man lay-out studied, common features:• Current TRT volume replaced by large strips• Inner radius SCT needs short strips/long pixels• Outer radius Pixels: 50 × 250 μm2 (IBL)• Inner radius Pixels: Smaller pixels, extremely

rad.hard sensors and electronicsPossible track trigger: under investigation

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Strategic approach

• Contributions to the present ATLAS/SCT serve as the starting point for the Norwegian Upgrade effort

• Activities within the Advanced Instrumentation project are already geared toward contributing to an upgrade of the ATLAS Pixel subsystem

• Participating in Phase I (IBL) will serve as a learning experience, bridging the gap – in time and technologically

• Ultimately, the aim is to make a recognizable contribution to the Pixel upgrade for Phase II.

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Present ATLAS/SCT hardware• Project ran from 1998 – 2005• Collaboration with Uppsala (SE)• Delivered 1/6 of the SCT barrel modules• Norwegian contribution:

– Core: 23 MNOK (1998)– Total: 44 MNOK (incl travel, personnel)

• Project resources:– Clean rooms (UoB, UoO)– Electronics and mechanical workshops– Faculty and technical staff– Project personnel (engineers/Ph.D)

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3D stave prototype(Bolle, Dorholt)

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• IBL concept calls for a stave design• Large FE-I4 ASIC: 16 × 16 mm2 • 3D tech allows μm-precision active edges• Demonstrator stave: Butted die-size sensor tiles• Recycled Pixel parts: FE-I3 and MCC• DRIE-cut 3D sensors and bump-bonding (Stanford MBC)• Carbon foam stave (LBNL)• Flex-hybrid and End-of-Stave controller (UoO)

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Fast track reconstruction(Strandlie, Gjersdal)

• One of the most time consuming aspects of HEP data processing is track reconstruction, a fast track fitting algorithm is therefore crucial if track information is to be used on-line in a high luminosity enviroment like the sLHC.

• The Kalman filter is the standard track reconstruction algorithm in HEP. Research done for the CBM experiment has shown that the speed of the Kalman filter can be greatly improved by :– Using an analytical approximation of the magnetic field– Rewriting the algorithm for single precision floats– Vectorizing the algorithm (SIMD)– Using hardware specialized on parallel and vectorized computations (GPGPU, CELL

Broadband Engine)• These new ideas will be tried out for potential use in sLHC ATLAS (part of PhD

project of Håvard Gjersdal):– Implement an optimized Kalman filter in the ATLAS reconstruction software– Explore possible applications in a high level trigger.

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Financial resources

Phase I (2011-2014):•1.5 MNOK Core•Matching funds for travel, personnel, infrastructurePhase II (2014-2014): In proportion to Norwegian ATLAS authorship•15 MNOK Core•30 MNOK Total (travel, project staff, tooling)

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Personnel and infrastructure

• Develop existing lab- and clean room facilities• University staff resources:– Senior UoB and UoO faculty– Electronics engineers– Mechanical workshop

• Personnel requirements:– Engineer and Ph.D student– Post.doc and senior researcher

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National infrastructure for radiation detectors

Current NFR infrastructure call: “Advanced scientific equipment”• Joint UoB/UoO application: 10 MNOK ??• Develop existing facilities for Silicon detector R&D and

construction• Clean rooms and lab space• Sensor characterization• Precision mechanicsThe proposed equipment will be valuable assets for the Norwegian contribution to the ATLAS upgrade

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Conclusions

• Well prepared to participate in Phase I and II, both from a technological and scientific point of view

• Phase I: starting now• Phase II: needs to be defined by 2011-12• Critical issues:– Develop local infrastructure– Secure project funding– Retain personnel

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