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Moore reconstruction and MuonID

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Outline MooMakePhiSegments RPC/TGC digits PhiSegments MooMakeRZSegments MDT digits MooMakeRoads CrudeRZSegments MooMakeiPatTracks ... Vs ATLAS releases Commit in 5.2 ... – PowerPoint PPT presentation

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Title: Moore reconstruction and MuonID


1

and the HLT
Gabriella Cataldi (INFN Lecce) Michela Biglietti
(Universita di Napoli-Federico II)
2
Outline
3
Standard Moore flow
  • Each step is driven by an Athena top-algorithm
  • Transient objects are passed via TDS/StoreGate
  • Independent algorithms, the only coupling is
    through the transient objects

MooAlgs
RPC/TGC digits
MooMakePhiSegments
PhiSegments
MooMakeRZSegments
MDT digits
MooMakeRoads
CrudeRZSegments
MooRoads
MooMakeiPatTracks
MooiPatTracks
MooStatistics
MooMakeNtuples
Ntuples
4
Reconstruction Strategy
  • Searches for ? regions of activity
  • From the RPC/TGC ? measurements ?- Segments
    are created
  • Searches for R-Z regions of activity
  • For each ?-Segment, the associated MDTs is
    found
    and a crude RZ Segments

    is built

    (essentially collections of z hits) .

5
Reconstruction Strategy
  • Pattern recognition and outer Roads
  • Inside MDTs the drift distance is calculated from
    the drift time, by applying various corrections
    on it (TOF, second coordinate, propagation along
    the wire, Lorenz effect). From the 4 tangential
    lines the best one is found.
  • All the MDT segments of the O station are
    combined with those of the M layer. The MDT hits
    of each combination are added to the phi-hits of
    the Phi Segment, forming outer track
    candidates. All the successfully fitted
    candidates are kept for further processing.

MDT mutilayer
  • Final tracks
  • associate inner station MDT hits. A final track
    is defined
  • The successful outer track is subsequently
    used to
  • as a successfully fitted collection of trigger
    hits and of MDT hits from at least two layers.

6
Moore is a container
Athena algorithms with different features/goals
Moore structure
MooLVL2Algs
MooAlgs
  • MooAlgs contain the standard
  • sequence of Algorithms
  • MooMakePhiSegments
  • MooMakeRZSegments
  • MooMakeRoads
  • MooMakeTracks
  • MooLVL2Algs contain a possible
  • seeding approach
  • MooMakePhiSegmentLVL2
  • MooMakeRZSegmentLVL2

MooStatistics
MooAlgs_n
MooEvent
Events for reconstruction
7
MooLVL2Algs strategy
run atrig
trigout10GeV.txt trigout20GeV.txt .. .. ..
only on barrel
ASCI files
Set-up the logic link TestRelease/
/run/Persint.out ? / /trigoutxxx.txt
run athena with the appropriate jobOptions.txt
RPC digits
MooMakePhiSegmentLVL2
PhiSegment
MooMakeRZSegmentLVL2
MDT digits
RZSegmentMap
How to run Moore and MooLVL2Algs Documentation
in http//people.na.infn.it/bigliett/moore/Moore
Doc/MooreDoc/
8
  • MooLVL2Algs
  • outputs are
  • PhiSegments
  • RZSegments
  • In order to perform a
  • fit the standard Algorithms
  • MooAlgs must be plugged
  • in the sequence

MooMakePhiSegmentLVL2MooMakeRZSegmentLVL2MooMake
RoadsMooMakeTracks
9
First need
  • If we want to have the seeded Moore in the HLT
    environment we need
  • MooAlgs
  • MooLVL2Algs

First step
10
How to seed MooLVL2Algs.
  • As it is now
  • MooLVL2Algs are seeded with the list of
    HitsOnTrack from LVL2.
  • MooLVL2Algs work with Old EDM layout M geometry.
  • In the future (personal opinion)
  • MooLVL2Algs for HLT should use the track
    information, opening a Region of Interest around
    the track, and performing the PhiSegment,
    RZSegment search, as for standard Moore, only in
    a limited region.
  • The new ID scheme and the new EDM help in
    these functionalities.
  • MooLVL2Algs functionality with list of
    HitsOnTrack will be useful for comparison of
    results

RPC hits
MDT hits
11
Hits comparison
  • Same dataset used for MooAlgs MooLVL2Algs
  • The 2 different sets of algos are chained
    together
  • Fit results from the same sample of events are
    directly compared

Plans for testing a more general hit addition
procedure
12
c2
13
1/pT pull
14
pT resolution
15
Plans for testing a more general hit addition
procedure
  • Hit Addition in Moore starts from RZSegments.
  • The RZSegments in MooLVL2Algs are built from the
    output of LVL2 Trigger not from the collection
    of digits.

.thinking over
16
Moore (for HLT) Vs ATLAS releases
  • Moore is working in version 5.3.0 with OLD EDM,
    new ID scheme, new Geometry (able to read TDR and
    DC1 data)
  • Moore working version with new EDM has been
    committed, but not yet in release. (Ready for tag
    in 6.0.0)
  • With the new EDM release Moore has been fully
    restructured

17
Commit in 5.2.0
  • Bug fix (see Stefanias talk)
  • Adoption of DataVector instead of handle at
    EndOfEvent
  • No more skip pick parameters in
    jobOptions.txt.
  • Use EventSelector.EventNumbers instead
  • jobOptions Moore_jobOptions.txt

18
New EDM Moore fully restructured.
Giorgos is writing and redesigning a large part
of the code
A crazy(?) idea in order
MooLVL2Algs
MooAlgs
  • to keep the
  • functionality of the
  • code as it is now
  • to have the possibility
  • to compare the
  • results and the
  • performances (chain)

MooStatistics
MooNefeliAlgs
MooEvent
MooNefeliEvent
19
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