Transcript ppt

Bari contributions for IA
workshop 4
• Right/left and baseline runs comparison
(2Towers configuration) (Monica Brigida)
• Study of the ToT as a function of the track
parameters (θ,φ). ToT and angular
distributions. Hit multiplicity.
(Francesco Loparco)
• Study of the events saturating ToT (Nico
Giglietto)
• MonteCarlo: ToT comparison (Bari group)
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MonteCarlo/real data comparison
for 2 Towers configuration
http://www-glast.slac.stanford.edu/IntegrationTest/SVAC/Instrument_Analysis/UsefulStuff/MC.html
Monte Carlo Simulated Data
For all configurations there are two directories. The 'batch' directory contains all the individual files,
including job options and log files. The main directory contains concatenated Merit, SVAC, digi, recon
and mc root files. All MC samples are made with real calibration constants.
EngineeringModel v4r060302p18:
One tower surface muons: Files can be found here.
One tower VDG: Files can be found here.
Two tower surface muons: Files can be found here.
EngineeringModel v4r060302p23:
Two tower surface muons: Files can be found here.
•
And EMv5r06008p1 generated by Anders
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MonteCarlo/real data comparison
ToT distribution (all layers)
from different EM versions
and real data.
Real ToTs are uncalibrated
2Towers configuration
Expected ToT for a Mip
ToT = ~ 8μs (~40)
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ToTs from different EM versions
OUR TEST:
we generated surface
muons using different
EM versions (but
without calibrations files)
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TkrDigi comparison: BariAlg/SimpleAlg
ToT distribution (all layers)
from EMv5r0608p2
(= EMv5r0608p1)
and real data.
Real ToTs are uncalibrated
We compared SimpleAlg
and BariAlg for TKR
digitization
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ToT Maps
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Conclusions
• Waiting for a fixing of the problem in
the TkrDigi/SimpleAlg we suggest a
MonteCarlo generation using BariAlg, in
order to perform a better comparison
with data
• A MonteCarlo generation using BariAlg
will be useful to better improve the
code itself
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