Tracking at the ATLAS LVL2 Trigger - PowerPoint PPT Presentation

About This Presentation
Title:

Tracking at the ATLAS LVL2 Trigger

Description:

Tracking at the ATLAS LVL2 Trigger. Athens HEP2003. Nikos Konstantinidis ... Must select online a couple events in a million! ... – PowerPoint PPT presentation

Number of Views:48
Avg rating:3.0/5.0
Slides: 19
Provided by: hepU5
Category:

less

Transcript and Presenter's Notes

Title: Tracking at the ATLAS LVL2 Trigger


1
Tracking at the ATLAS LVL2 Trigger
  • Nikos Konstantinidis
  • University College London

Athens HEP2003
2
Outline
  • Introduction
  • ATLAS Trigger Strategy
  • Tracking at LVL2
  • The IDScan tracking package
  • The algorithms
  • Performance
  • Conclusions Outlook

3
Triggering at the LHC
  • Challenge 1
  • Bunch crossing every 25ns gt rate 40MHz
  • Data storage capability 100Hz
  • Must select online a couple events in a
    million!!!
  • Online background rejection of 6 orders of
    magnitude!
  • Challenge 2
  • Peak luminosity 2x1033(low) 1034
    (high)
  • 5 25 pp interactions per bunch
    crossing
  • Luminosity falls by a factor 2 over a fill
    (10hours)
  • Interesting (high pT) pp interaction
    complicated by pile-up
  • Very annoying for tracking (increases
    combinatorics)

4
ATLAS Trigger Strategy
5
ATLAS Trigger Overview
  • LVL1
  • Uses Calorimeters Muon Trigger Stations (coarse
    granularity)
  • LVL2
  • Uses LVL1 Regions of Interest (RoI), so only a
    small fraction of the event data is accessed
  • InDet tracking avail.
  • Combines sub-dets
  • Full granularity
  • Event filter
  • Refined, offline-type reconstruction, with access
    to calibration alignment data

6
Region of Interest
x-y view
r-z view
7
Tracking _at_ LVL2
  • Tracking is needed for
  • Single, high-pT electron/muon identification
  • Match tracks to info from outer detectors
  • B Physics (at low lumi? budget permitting?)
  • Exclusive reconstruction of golden decays (e.g.
    Bgtpp)
  • b-jet tagging (e.g. in MSSM H gthh gt bbbb)
  • All must be done in 10ms
  • Must deal with combinatorics
  • At high luminosity 20K space points in the Si
    Trackers

8
The Si Trackers of ATLAS
9
The IDScan algorithms
  • A sequence of four algorithms for pattern
    recognition track reconstruction using 3D space
    points.
  • Basic idea
  • Find z-position of the interesting (high-pT) pp
    interaction before any track reconstruction
  • Select only groups of space points consistent
    with the above z

10
ZFinder
  • Relies on
  • Tracks are straight lines in rz. Using the (r,z)
    from a pair of space points of a track, you can
    determine its z0 by simple linear extrapolation
  • High-pT tracks are almost straight lines in rf.
  • Steps
  • Make very thin slices in f (0.2-0.3 degrees)
  • In each slice, make all pairs of space points
    from different layers, calculate z0 by linear
    extrapolation and fill a 1D histogram with this
  • The bin with the max. number of entries
    corresponds to the z0 you are looking for

11
ZFinder Example
Jet RoI from WH(120GeV)
12
HitFilter
  • Given this z0, all space points of a track
    originating from z0 will have the same h
  • Steps
  • Put all space points in a 2D histogram in (h,f)
  • Accept all space points in a bin if this bin
    contains space points in at least 5 (out of 7)
    different layers
  • Reject all other space points
  • No combinatorics gt linear time behaviour
  • Returns groups of hits

13
HitFilter Example
x-y view
r-z view
h-f histogram
14
Performance (I)
  • Single e (pT40GeV) RoI at high L (DhxDf
    0.2x0.2)
  • lt space pointsgt 250
  • ltexecution timegt 1ms
  • ZFinder resolution 180mm
  • Efficiency 98
  • B physics (low L) full Si Trackers reconstruction
  • ltexecution timegt 20ms

projected to CPU speed of 4GHz
15
Performance (II)
  • Using 2 rather than 3 pixel barrel layers
  • Only necessary to change the min. number of space
    points required to make a track, from 5 (out of
    7) to 4(out of 6)

Algorithms conceptually simple gt Flexible gt
Robust
16
Example Electron RoI





17
IDScan Virtues
  • Modular gt flexible gt robust
  • Fast and linear t ( of space points)
  • Suitable for all tracking needs of LVL2
  • No DetDescr dependence only space points
  • Uniform treatment of barrel/endcaps
  • Uniform treatment of pixel/SCT

18
Summary Outlook
  • Triggering has a central role at the LHC the
    physics reach of ATLAS (and CMS) depends on it
    critically
  • Tracking at LVL2 is a real challenge, especially
    at high luminosity
  • Determining the z-position of the interesting pp
    interaction prior to any track reconstruction and
    then rejecting all space points that cannot be
    due to tracks from that z seems to work best
  • Still space for novel ideas to improve the ATLAS
    physics potential and exploit the physics at the
    LHC optimally
Write a Comment
User Comments (0)
About PowerShow.com