Adventures In Calorimeter Assisted Tracking - PowerPoint PPT Presentation

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Adventures In Calorimeter Assisted Tracking

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... a combination Track Finding Driver for the central region of the detector. ... code written by Eric Wallace (formerly of UCSC) and modified it to cheat away ... – PowerPoint PPT presentation

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Title: Adventures In Calorimeter Assisted Tracking


1
Adventures In Calorimeter Assisted Tracking
  • Chris Meyer, Tyler Rice
  • UC Santa Cruz
  • October 16, 2007

2
Tools
  • The goal is to put together a combination Track
    Finding Driver for the central region of the
    detector. This includes
  • VXD Cheating
  • AxialBarrelTrackFinderZ
  • GarfieldTrackFinder
  • These are run through sequentially, eliminating
    hits found on tracks after each step.

3
VXD Cheater
  • We started with code written by Eric Wallace
    (formerly of UCSC) and modified it to cheat away
    not only Tracker Barrel Hits, but Vertex Barrel
    Hits as well.
  • All associated SimTrackerHits from MCParticles
    originating within 2 cm of the origin are removed
    from hit banks.

4
AxialBarrel Z
  • Code originally written by Tim Nelson (SLAC), it
    takes three hit seeds from the Tracker Barrel and
    attaches hits to find 4 or 5 hit Tracks.
  • Optimized for non-prompt tracks by Tyler Rice
    (UCSC) Some improvements added (phi-region
    check).
  • The code used was modified by Lori Stevens
    (UCSC) introduced virtual segmentation and an
    algorithm to check for linear z-consistency using
    only end-position information from z-modules.
  • Z-Modules are user defined, changeable in the
    Driver.

5
GarfieldTrackFinder
  • Written by Dima Onoprienko (KSU),
    GafieldTrackFinder employs outside-in track
    finding, beginning with EmCal Stubs.
  • Finds tracks with 3, 4 or 5 hits in Barrel
    Detectors.
  • Also uses modular z information when finding
    possible hits to attach to track.
  • Changes made to Garfield
  • GarfieldTracks/Hits have associated MC truth
    information
  • Virtual Z-Seg now customizable

6
Whats a Good Track/Particle?
  • Findable MC Truth Particle
  • FINAL or INTERMEDIATE State Particles
  • Charged
  • Path Length 50 cm
  • Pt 0.75 GeV
  • Radius Origin
  • cos ?
  • Acceptable Reconstructed Track
  • cos ?
  • Pt 0.75 GeV
  • DCA
  • Successfully Fit

7
Whats a Good Track/Particle?
  • Good Tracks
  • Purity 0.8
  • Associated MCParticle is findable
  • Passes acceptable criteria
  • Fake Tracks
  • Purity
  • Passes acceptable criteria
  • Ignored Tracks
  • Purity 0.8
  • Associated MCParticle is UNfindable
  • Purity is calculated strictly using Barrel Hits
    (Calorimeter stub excluded from calculation)

8
Initial Results
  • Axial Barrel 4 hit Tracks, Garfield 3 Hit
    Tracks
  • Z Pole qqbar Event

5 Hit Tracks
9
Initial Results
  • Axial Barrel 4 hit Tracks
  • Z Pole qqbar Event

ABTFZ 4 Hit Tracks (Garfield Will Be Run Next)
10
Initial Results
  • Axial Barrel 4 hit Tracks, Garfield 3 Hit
    Tracks
  • Z Pole qqbar Event

MCPs are those left after running AxialBarrel
11
Initial Results
  • Axial Barrel 4 hit Tracks, Garfield 3 Hit
    Tracks
  • Z Pole qqbar Event

VERY Low Purity for Reasonable Segmentation
12
What Are We Missing?
  • If we change to 5 hit minimum for Axial Barrel
    Purity is increased, but efficiency is decreased
    (Tyler Rice presentation, 8/21/07).
  • The main concern is the inability of the
    calorimeter to distinguish good 3 hit tracks from
    fakes.
  • Can we reliably reconstruct tracks originating
    outside the second Tracker Barrel layer?
  • SeedExtend Algorithm, Tyler Rice, Chris Meyer
  • Since Barrel information is precise, make a helix
    from 3 hit seeds (with seeds based on Tim
    Nelsons code) then check for matching
    calorimeter stubs (found using Dima Onoprienkos
    NN Cluster Driver and EmCalStub Driver).

13
Stub Matching
  • Muon 1-50 GeV Events

XY Miss Distance between Seed and Stub at
Calorimeter Face
14
Stub Matching
  • Muon 1-50 GeV Events

Phi Difference between Seed and Stub at
Calorimeter Face
15
Stub Matching
  • Muon 1-50 GeV Events

Curvature Ratio of Seed and Stub
16
Cuts on Matching
  • ZPole sidaug05 cuts for SeedExtender
  • Seeds
  • Phi Separation consecutive layers)
  • Helix Stub Matching
  • Base Difference
  • Phi Difference
  • Kappa Ratio ( (?seed - ?stub)/ ?seed )
  • Note All values are absolute values

17
Approach
  • Loop through list of stubs looking for possible
    seeds to attach.
  • Calorimeter Stubs
  • Refit stub to get better helix (base position,
    base phi, kappa)
  • Use all CalorimeterHits, give more weight to
    closest two, farthest two, and middle two
  • Tracking Seeds
  • Only look at outer 3 tracking layers
  • Require max phi-separation between any two hits
    of 300 miliradians
  • If multiple matches are found, seed with smallest
    phi difference from stub is used.

18
Seed Extender
20 total Findable 3 Hit tracks. Binned by Radius
from Origin (mm)
Radius of Origin
19
Seed Extender
12 Found 3 Hit tracks. Binned by Purity
Include stub as 4th hit in purity calculation
20
Seed Extender
2 Found 4 Hit tracks. Binned by Purity (5th Hit
from Calorimeter assumed to be pure)
21
Seed Extender
4 Fake 3 Hit Tracks. Binned by pt (GeV)
22
Conclusions
  • ABTFZ and Garfield
  • Efficient and Pure for 4 and 5 Hit Tracks
  • Cant find 3 Hit Tracks
  • Developed SeedExtend for 3 hit Tracks
  • On Z-Pole events we get 60 efficiency for 3 Hit
    Tracks
  • On Z-Pole events we get 70 purity for 3 Hit
    Tracks
  • This can be optimized further by changing cuts,
    but the optimization will depend on the physics
    signatures (isolated signature vs. dense jet)
  • Plan to look at meta-stable SUSY signature
    consulted with Jonathan Feng (UC Irvine)
  • With this in mind Chris Betancourt (UCSC) is
    looking into ISAJET generation with Jonathans
    guidance.
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