Transcript Scintillating Fibre Tracker Simulation Malcolm Ellis Imperial College London Tuesday 9th March 2004 Current Status Nominal geometry and tracker configuration (ganging, etc) implemented. Simple pattern recognition, MINUIT.

Scintillating Fibre Tracker
Simulation
Malcolm Ellis
Imperial College London
Tuesday 9th March 2004
1
Current Status
Nominal geometry and tracker configuration
(ganging, etc) implemented.
Simple pattern recognition, MINUIT fit and
Kalman fit.
Able to study tracking resolution as a function of
track parameters and background/dead channel
rates.
Track fit results used by emittance calculation
code (Chris Rogers).
2
Improvements
Geometry and read-out
Digitisation
Pattern recognition
Track fitting and extrapolation
Design iteration
3
Geometry and read-out
Need to take new design (fibre pitch, number of
fibres, connector lay-out, etc) and implement it in
G4MICE.
Add option of having 50 micron Mylar sheet per
plane (currently not simulated, may or may not be
needed in real tracker).
Study effect of station spacing on pattern
recognition and track parameter resolution.
Need to get Virtual Planes working in order to
start a number of studies…
4
Digitisation
Need to introduce measured light yield from
cosmic ray test into G4MICE.
Need to check and confirm all parameters
for light transport, collection efficiency, QE,
etc are correct.
Compare simulated single hit, space point,
efficiencies.
5
Pattern Recognition
There are a lot of wasteful copies in the current
code that will be cleaned up.
In the presence of high background rates,
combinatorial background causes the PR to run
very slowly.
Improvements possible in:
Raw hit selection
Triplet (space point) finding
Track finding
Aim to use Kalman to reject more outliers from
consideration earlier.
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Track Fitting
Currently Kalman fit takes into account multiple
scattering but not dE/dx.
New version of Kalman includes magnetic field
map and correct dE/dx treatment.
Aim to include this version before collaboration
meeting.
Should improve background rejection and tracking
performance.
In discussion with Kalman developers over
inclusion of hit times in the track fit.
7
Design Iteration
Collected Use Cases, currently starting round of
discussion of User Requirements.
Already envisage substantial improvements to
data-flow, experiment modelling and description,
etc.
Aim for better communication between
Reconstructed objects (e.g. tracks and particle ID
hits) and Monte Carlo objects (e.g. truth hit and
reconstructed hits).
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Future
Aim to complete a lot (but not all) of tasks
listed by collaboration meeting.
Software group still very much understaffed (as Yagmur has said, 10% of 10 is
not a lot).
Any-one willing to help is encouraged to
speak to Yagmur and I this week, and attend
the software workshop following the
Collaboration meeting if at all possible.
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