data/mc comparisons
DESCRIPTION
Data/MC comparisons. David Ward Compare Feb’05 DESY data with Geant4 and Geant3 Monte Carlos. Work in progress – no definitive conclusions Trying to use “official” software chain (LCIO, Marlin etc), even though much is still under development. Data samples. - PowerPoint PPT PresentationTRANSCRIPT
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1 Calice-UK Cambridge 9/9/05 D.R. Ward
David WardDavid Ward
Compare Feb’05 DESY data with Geant4 and Geant3 Monte Carlos.Work in progress – no definitive conclusionsTrying to use “official” software chain (LCIO, Marlin etc), even though much is still under development.
Data/MC comparisons
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2 Calice-UK Cambridge 9/9/05 D.R. Ward
Data samples
Using samples of electrons at 1, 2, 3 GeV at normal incidence in centres of wafers.
Mainly use Run 100122 (1 GeV), 100123 (2 GeV) and 100134 (3 GeV) where beam aimed at centre wafer of lower row.
Native raw data converted to LCIO raw data locally using old version v00-02 of R.Pöschl’s code.
Use Marlin wrapper around George’s code to process drift chamber info, and to apply pedestal subtraction and gain correction to ADC data.
Histograms and analysis using Root in Marlin
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3 Calice-UK Cambridge 9/9/05 D.R. Ward
Monte Carlo
Mokka (Geant4) contains detector geometries for Test Beam. For this purpose, using the ProtoDesy0205 model. This contains 30 layers; 9 wafers/layer, so remove non-existing ones in software.
Also Geant3 MC – Caloppt. Uses hard coded geometry, identical to Mokka (A.Raspereza).
Both write out LCIO SimCalorimeterHits, which contain the total ionization energy deposit in each Si pad.
Coordinate system, cell numbering scheme agreed June 2004. See http://polywww.in2p3.fr/geant4/tesla/www/mokka/ProtoDoc/CoordinatesAndNumbering.html
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4 Calice-UK Cambridge 9/9/05 D.R. Ward
MC generation
Use Mokka 5.1 with electron beams at normal incidence.
Gaussian beam spread of width chosen to roughly match profile in data.
In analysis, add in 0.12MIP of noise to each channel (reflecting pedestal width in data).
No noise in empty channels yet; no cross-talk.
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5 Calice-UK Cambridge 9/9/05 D.R. Ward
MIP peak in dataGeorge tuned MIP peak to cosmics. MIP peak for electron showers lies
slightly above 1.A cut at about 0.6-0.7 looks appropriate
to remove remaining noise. Use 0.6
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6 Calice-UK Cambridge 9/9/05 D.R. Ward
MIP peak in data c.f. Geant4
Take 1 MIP in MC to correspond to 0.16 MeVThis leads to satisfactory alignment of the MIP peaks in data and MC.Works for Geant3 as well as GEANT4Normalization to number of events. Clearly, fewer hits in MC than data.
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7 Calice-UK Cambridge 9/9/05 D.R. Ward
MIP tail data c.f. MC
Good, but not perfect.
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8 Calice-UK Cambridge 9/9/05 D.R. Ward
# hits above threshold
~13% discrepancy.
1 GeV e-
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9 Calice-UK Cambridge 9/9/05 D.R. Ward
Total energy (in MIPs)
~17% discrepancy in scale. Fractional width OK.
1 GeV e-
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10 Calice-UK Cambridge 9/9/05 D.R. Ward
Dependence on tracking cut?
G4 operates with a cut on range (5 μm default in Mokka)
Reduce to 0.2 μm improves agreement with data
But slows program down by a factor ~20
G3 (cutoff 100 keV) equivalent to G4 with cutoff of ~ 1 μm
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11 Calice-UK Cambridge 9/9/05 D.R. Ward
MIP distribution vs tracking cutoff
Tail much better
1 GeV e-
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12 Calice-UK Cambridge 9/9/05 D.R. Ward
N hits vs tracking cutoff
1 GeV e-
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13 Calice-UK Cambridge 9/9/05 D.R. Ward
Etot /MIPs vs tracking cutoff1 GeV e-
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14 Calice-UK Cambridge 9/9/05 D.R. Ward
Shower longitudinal profile
Showers seem to be a bit too deep in G4?
1 GeV e-
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15 Calice-UK Cambridge 9/9/05 D.R. Ward
Energy in first plane
Data shows more energy in first plane than MC; fewer single MIPs
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16 Calice-UK Cambridge 9/9/05 D.R. Ward
Energy in first planeCould patch up energy in first plane by introducing ~0.15X0 of upstream material
Compare withG3 also from
now on
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17 Calice-UK Cambridge 9/9/05 D.R. Ward
Longitudinal shower profile
Much better withupstream material
1 GeV e-
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18 Calice-UK Cambridge 9/9/05 D.R. Ward
MIP distributions
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19 Calice-UK Cambridge 9/9/05 D.R. Ward
N hits
G4 starting to look quite goodG3 has 8% too few hits
1 GeV e-
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20 Calice-UK Cambridge 9/9/05 D.R. Ward
Total energy /MIPS
G4 looks quite goodG3 is 8% low again
1 GeV e-
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21 Calice-UK Cambridge 9/9/05 D.R. Ward
2GeV and 3GeV samples
G4 looks quite good in each caseG3 is consistently 8% low again
2 GeV
3 GeV
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22 Calice-UK Cambridge 9/9/05 D.R. Ward
Even-odd plane differences1 GeV e-
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23 Calice-UK Cambridge 9/9/05 D.R. Ward
Transverse profile (w.r.t. barycentre)
1 GeV e-
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24 Calice-UK Cambridge 9/9/05 D.R. Ward
Distance of hit to nearest neighbour?
Relevant for clustering?
Units – cm in (x,y);
layer index in z.
1 GeV e-
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25 Calice-UK Cambridge 9/9/05 D.R. Ward
Summary
Appears necessary to reduce tracking cutoffs in G4 to describe data. Need to understand physics of what is going on here.
But G4 almost prohibitively slow under these conditions. Need to look carefully at effects of noise and crosstalk. Further detector effects (e.g. edge effects) to be take into
account? Some hints of effects induced by upstream material. Is
15%X0 too much though? G3 is faster, but can’t easily push tracking cutoffs below
100 keV. Can still learn a lot of useful things about modelling the
data using the February run.