Wolfgang Kühn II. Physikalisches Institut, Universität Giessen

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Helmholtz International Center for Wolfgang Kühn II. Physikalisches Institut, Universität Giessen New Developments for DAQ and Triggering Helmholtz International Center for FAIR

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Helmholtz International Center for FAIR. New Developments for DAQ and Triggering. Wolfgang Kühn II. Physikalisches Institut, Universität Giessen. Outline of talk. PANDA Detector and requirements for data acquisition Compute Node Universal scalable platform for multiple applications - PowerPoint PPT Presentation

Transcript of Wolfgang Kühn II. Physikalisches Institut, Universität Giessen

Page 1: Wolfgang Kühn II. Physikalisches Institut, Universität Giessen

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Wolfgang Kühn

II. Physikalisches Institut, Universität Giessen

New Developments for DAQ and Triggering

Helmholtz International Center for FAIR

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r Outline of talk

PANDA Detector and requirements for data acquisition Compute Node

Universal scalable platform for multiple applications Applications

Summary and Outlook

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Pellet or cluster-jet targetPellet or cluster-jet target

2T Superconducting solenoidfor high pt particles 2T Superconducting solenoidfor high pt particles

2Tm Dipole for forward tracks2Tm Dipole for forward tracks3

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Forward ChambersForward Chambers4

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Barrel DIRCBarrel DIRCBarrel TOFBarrel TOF

Endcap DIRCEndcap DIRC Forward TOFForward TOF

Forward RICHForward RICH

Muon DetectorsMuon Detectors

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PWO EMCPWO EMC Forward Shashlyk EMCForward Shashlyk EMC Hadron CalorimeterHadron Calorimeter6

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r Requirements for DAQ and Trigger

Interaction rates up to 20MHz Typical event sizes 4 - 8 kB. Raw data rates 40GB/s - 200 GB/s High flexibility and selectivity Solution:

Continuously sampling data acquisition No „hardware triggers“

Event selection in FPGA processors Connection via high speed networks

Building blocks Lots of buffer space Fast and flexible networks Powerful processors

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r General Purpose Compute Nodes

Configurable and scalable hardware platform for multiple applications/ experiments Capable of High Performance Computing Large Bandwidth

PANDA est. 40 - 200 GB/s Continuously Sampling ADCs

Real Time processing (trigger) Processing of up to 2x10**7 events/s

Flexibility: Reusable HADES upgrade - BESIII upgrade – Panda DAQ &

Trigger Scalability

Flexible network topology

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r Compute Node Features

5 Virtex4 FX60 FPGA Large Computer Power

10 GB DDR2 RAM (2GB per FPGA) Buffering capabilities

2 Embedded PowerPC in each FPGA

Slow control

32Gbit/s Bandwidth 13x RocketIO to backplane 5x GBit Ethernet Front Panel 1x GBit Ethernet Backplane 8x Optical Links

ATCA Compliant Manageability

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r Compute Node Structure

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r ATCA Standard

Advanced Telecomm Computer Architecture Industry standard (PICMG) Power ~ 200W/slot Base Interface (GBit Ethernet) Full mesh backplane

High Speed differential lines

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r Application Example: Ring Search Algorithm

Problem: Find ring images in RICH

detector in the presence of background

Idea: Exploit correlation with tracking

detector (MDC)

Result Background from electronic

noise and other sources strongly suppressed

Thresholds for ring finder can be lowered

Improved efficiency

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r Challenges and Opportunities

Status: First board built

Collaboration with IHEP Beijing Firmware development has started Linux GBit Ethernet support implemented

Assemble prototype system (HADES@FAIR) Single ATCA shelf replaces ~ 10 VME crates Up to 13 CN + 1 CPU module

Implementation of DAQ and trigger algorithm firmware for: HADES @ FAIR Use as a prototype DAQ for PANDA detector tests

Timeline: 2008/09 Firmware for demonstrator system (HADES) 2010/11 Algorithm development for PANDA 2012-14 Construction and commissioning of PANDA DAQ