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Digital HCAL using GEM

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Digital Hadron Calorimeter Requirements. GEM in the sensitive ... Minimal intrusion for crackless design. Ease of construction and maintenance. Cost effective ... – PowerPoint PPT presentation

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Title: Digital HCAL using GEM


1
Digital HCAL using GEM
  • J. Yu
  • Univ. of Texas at Arlington
  • , Aug. 26 30, 2002
  • Jeju Island, Korea
  • Introduction
  • Digital Hadron Calorimeter Requirements
  • GEM in the sensitive gap
  • UTA GEM DHCAL Prototype Status
  • Simulation Status
  • Plans for Hardware, Simulation Algorithms
  • Summary

(on behalf of the UTA team A. Brandt, K. De, S.
Habib, V. Kaushik, J. Li, M. Sosebee, A. White)
2
Introduction
  • LC physics topics
  • Distinguish W from Z in two jet final states ?
    Good jet mass resolution
  • Higher Jet energy resolution
  • Excellent jet angular resolution
  • Energy flow algorithm is one of the solutions
  • Replace charged track energy with momentum
    measured in the tracking system
  • Requires efficient removal of associated energy
    cluster
  • Higher calorimeter granularity
  • Use calorimeter only for neutral particle
    energies
  • Best known method for jet energy resolution
    improvement
  • Large number of readout channel will drive up the
    cost for analogue style energy measurement ?
    Digital HCAL
  • Tracking calorimeter with high gain sensitive gap

3
DHCAL General Requirements
  • Thin and sensitive readout layer for compact
    design
  • 1 or 2 level digital hit recording for EFA use
  • On-board amplification, digitization and
    discrimination for readout, minimizing noise and
    cross-talk
  • Flexible design for easy implementation of
    arbitrary cell size for upgrade
  • Minimal intrusion for crackless design
  • Ease of construction and maintenance
  • Cost effective

4
DHCAL Gas Amplification Requirements
  • Sufficiently large gain for good S/N ratio
  • Minimize cross-talk between cells in readout
  • Isolated readout path from active volume to avoid
    coherent noise
  • Modularity, retaining continuity for gas and HV
    supplies and readout
  • Digitized readout from each cell
  • Allow pad design to avoid strip ambiguity
  • Keep low HV for safety and reliability
  • Simple readout electronics for cost savings and
    reliability

5
DHCAL Requirements for EFA
  • Small cell size for good multiple track shower
    separation
  • High efficiency for MiPs in a cell for effective
    shower particle counting
  • Possibility for Multiple thresholds
  • Dense and compact design for quick shower
    development to minimize confusion
  • Large tracking radius with optimized magnetic
    field for sufficient separation between tracks
    for shower isolation

6
Goals for UTA DHCAL Development
  • Develop digital hadron calorimetry for use with
    EFA
  • Aim for cost effective high granularity
  • Look for a good tracking device for the sensitive
    gap
  • Develop GEM cell(s) and prototype
  • Develop module/stack design for EFA optimization
  • Simulate GEM behavior in calorimeter
  • Implement GEM readout structure into simulation
  • Develop EF and calorimeter tracking algorithms
  • Cost effective, large scale GEM DHCAL

7
Why GEM?
  • GEM developed by F. Sauli (CERN) for use as
    pre-amplification stage for MSGCs
  • Allow flexible and geometrical design, using
    printed circuit readout ? Can be as fine a
    readout as GEM tracking chamber!!
  • High gains, above 104,with spark probabilities
    per incident ? less than 10-10
  • Fast response
  • 40ns drift time for 3mm gap with ArCO2
  • Relative low HV
  • A few 100V per each GEM gap compared to 10-16kV
    for RPC
  • Rather reasonable cost
  • Foils are basically copper-clad kapton
  • 400 for a specially prepared and framed
    10cmx10cm foil

8
Double GEM schematic
S.Bachmann et al. CERN-EP/2000-151
9
CERN-open-2000-344, A. Sharma
10
GEM Foils
  • Most foils made at CERN
  • A total of about 1000 foils made
  • COMPASS experiment has large scale, 31cmx31cm,
    GEM
  • Kapton etching most difficult step ? Work with
    Saulis group

A. Sharma CERN OPEN-98-030
11
GEM gains
CERN GDD group
12
Triple GEM DHCAL Design
13
Triple GEM test chamber
1cmx1cm pad design
  • Sufficient space for foil manipulation
  • Readout feed-through, retaining large space for
    ease of connection
  • Clear cover to allow easy monitoring
  • Readout pads connection at the bottom

J. Li, UTA
14
GEM prototype readout path
  • Readout through a gas tight feed-through on the
    test chamber
  • Double copper clad with 1cmx1cm pads readout
    through the holes on the other side
  • Board being redesigned due to complication in the
    readout hole contact

15
UTA GEM Test Chamber HV layout
Drift gap
2.9kV
  • Could be achieved with /- 1500V
  • HV fed from one supply but individually adjusted

Transfer gap
Transfer gap
Induction gap
16
UTA GEM Prototype Status
  • Constructed
  • Test chamber box
  • Readout circuit board (1cmx1cm pads) ? being
    redesigned
  • HV layout design complete
  • Two GEM foils arrived and two more on the way

17
Single GEM gain/discharge probability
  • Simulation study in progress using multi-jet
    final states
  • Understand average total charge deposit in a cell
    of various sizes
  • Study fake signal from spiraling charged particle
    in the gap

A.Bressan et al, NIM A424, 321 (1998)
18
UTA Simulation Status
  • Two masters students have been working on this
    project
  • Mokka installed as the interface to Geant4
  • Pandora-Pythia HEPEvt ASCII output working (Many
    thanks to Masako Iwasaka from U. of Tokyo!!!) ?
    Why ASCII output?
  • Generated 1000 tt?6 jet events at ECMS500GeV
    and processed through Mokka for GEM discharge
    study
  • In the process of analyzing the data using
    vanilla root macro ? Are there a reconstruction
    and analysis packages for Mokka?
  • Output format needs improvement ? A file per
    event per detector component is not that helpful
    for sophisticated studies
  • In the process of implementing Mokka geometry
    database
  • To implement prototype GEM cell geometry

19
Plans
  • Year 1Test and prototype development
  • Hardware
  • Develop a test chamber for operation
  • Produce a single layer (Absorber TGEM)
  • Investigate and learn production of large size
    GEM
  • Simulation and algorithm development
  • Establish MC environment with Geant4 (Mokka?)
  • Implement prototype GEM design (single cell)
  • Study design for performance optimization
  • Study and develop EFA and tracking algorithms
    using MC
  • Year 2 Cosmic ray run
  • Hardware
  • Build a multi-layer (gt5 layers) prototype
  • Perform cosmic ray data taking and analyses
  • Simulation and algorithms
  • Simulate the single muon tracking with
    multi-layer geometry
  • Develop EFA and tracking algorithms using cosmic
    way data

20
Plans cntd
  • Year34 Testbeam
  • Hardware
  • Construct thicker prototype for beam exposure if
    the studies turn out feasible
  • Would like to explore this possibility
  • Simulation and EFA/TRKA development
  • Implement testbeam geometry for realistic
    simulation of TB
  • Develop Testbeam data reconstruction
  • Study performances with various options of EM
    calorimeters and tracking detectors
  • Need a system that can allow various plug-in
    detector modules without complicated geometry
    manipulation
  • Need reconstruction and analysis packages that
    can work in a modular manner

21
Summary
  • GEM based DHCAL looks feasible and interesting ?
    UTAs effort supported by both DoE ADR and local
    funds
  • Start collaborating with CALICE collaboration for
    development
  • Test chamber being constructed
  • Obtained two GEM foils from Sauli and two more on
    the way, if not they already have arrived
  • Detailed design work in progress
  • HV layout, readout structure, gas supply, etc
  • Simulation effort making slow and painful
    progress
  • Mokka operational
  • Pandora-pythia output in HEPEvt ASCII working
  • Working on understanding discharge probability
  • UTA local SLAC simulation team
  • Working on GEM geometry implementation for design
    optimization
  • Will collaborate with ANL/NIU/SLAC for simulation
    and EF algorithm development
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