What we learned from DC1 B-physics validations
M.Smizanska, Lancaster Universityfor B-physics validation team.
pp B(J/() K0) X
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DC1 B-physics validation teams:
University of Lancaster, Lancaster, UK E.Bouhova-Thacker, R.Jones, V.Kartvelishvili, M.Smizanska
Institute for Experimental Physics,
University of Innsbruck, Austria
B.Epp, V.M.Ghete
Moscow State University, Russia N.Nikitine, S.Sivoklokov, K.Toms
Physics Department, Thessaloniki T.Lagouri
Charles University, Prague P.Reznicek
CEA, Saclay J.F.Laporte
CERN N. Benekos, A.Nairz
INFN, Frascati, Italy H.Bilokon
INFN, Roma-1, Italy M.Testa
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List of Physics processes
Process Detector layouts
pp Bs X
Bs Ds D s K+K-
TDR,
Complete layout, 400m
Initial layout, 400m
Complete layout, 300m (DC1)pp Bs X
Bs
pp Bs X
Bs J/K+K- )
pp Bd X
Bd J/K(+-)
pp b X
b J/0 (p)
pp bb X, b6X’
Bs Ds D s K+K-
b J/0 (p)
+ min bias for L =2 x 1033 cm-2 s-1
Initial layout, 400m
Complete layout, 400m
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Software tools, status at the start of DC0:
1. Detector simulation
a) ‘TDR’ detector layout was obsolent for several years, but the changes were not implemented in ATLAS software. atlsim 98_2 was identical to 97_6 for the ID description, which corresponded to a description in ID TDR.
b) … so an impact of important changes in the ID: increasing the radius of b-layer, eliminating second pixel layer and some other parts in the endcap - had to be estimated by ATLFAST – using simple approximations of the resolutions derived from TDR ones.
c) Physics performance for conferences was for a long time presented for TDR layout.
d) DC1 validation was important step forward: first publicly presentable B-physics results with new ID layout.
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Software tools, status at the start of DC0, cont
2. ATHENA, Generators
a) TDR B-physics generator Atgenb – a branch of Atgen an ATLAS interface package that stop to be supported in 97.
b) In DC0 – Atgenb – rewritten to PythiaB – ATHENA algorithm, was in use for DC1 production.
3. Reconstruction:
a) atsim, atrecon – longest survivors over TDR-DC0-DC1 … finally were useful for ATHENA validations – most of our DC1 done in parallel using atrecon (or atlsim!) and ATHENA
b) ATHENA-reconstruction much progress during DC1 …
c) … but we did not reach the same performance for the 3 packages in DC1. The sources of differences are more-less understood, but all these packages stop at DC1. All manpower - to DC2.
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Detector Layouts in DC1 validations
Detector layouts Complete Initial Complete-300 m
TDR
Radius of b-layer 5 cm 5 cm 5 cm 4.3 cm
Longitudinal pixel size of b-layer
400 400 300 300
Middle pixel layer yes missing yes yes
Pixel disk #2 and forward TRT wheels
yes missing yes yes
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Software in DC1 validations
Layout
Software
Complete Initial Complete-300 m
TDR
Event Generation PythiaB(Athena)
and old data from TDR – for consistency checks
atgenb
Detector simulation atsim 6.0.2 atlsim 6.0.2 atsim 3.2.1 atlsim98_3 TDR
Reconstruction mostly xKalman in Inner Detector
*)
atrecon6.5.0 (6.0.3, 4.5.0)
atlsim4.5.0 (only 1chan)
Athena 6.5.0, 7.0.0
atrecon6.5.0 (6.0.3, 4.5.0)
Athena 6.5.0, 7.0.0
atrecon4.5.0 atreconTDR
1. optimal strategy for Initial layout (4)
2. default strategy(7)
Physics Analyses
Vertexing
CBNT analyses (from atrecon or from athena)
CTVMFT vertexing from TDR
*) part of Complete and Initial also with iPatrec, 6.0.3
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Performance results
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Mass reconstruction
Mass resolution
single Gauss fit
[MeV/c2]
Complete Initial Complete-300 m (dc1)
TDR
Bs Ds( 46 46 45 42
B 79 80 80 69
Bs J/ 17 17 16 15
Bd J/K 21 21 - 19
b J/p 25 26 - 22
J/ 42 43 43 39
Core of mass distributions similar with Complete and Initial layouts and Complete-300m.
Degradation vrt TDR: 10-15%
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Complete vs Initial layout: reconstruction of B-signal mass xKalman6.5.0 optimized track finding strategy
Complete Layout Initial Layout
Initial Layout:
1. Efficiency to reconstruct B only 4.5% smaller then in Complete.
2. Only 0.3 % fails the vertex fit in both Complete and Initial layouts.
Example for channel Bs J/()
… and B-vertex reconstructed= 82.3% (5% B in tails)= 77.7% (6% B in tails)
All four tracks of B reconstructed= 82.5% (5% B in tails)=77.9% (6% B in tails)
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…the same events with default xKalman track search strategy – failed for Initial layout, ok for Complete layout.
Complete Layout Initial Layout
All four tracks of B reconstructed= 83% (4% B in tails)=77% (11% B in tails)
… and B-vertex reconstructed= 82% (4% B in tails)= 67% (8% B in tails)
Initial Layout: 1. More B’s in tails.
2. Efficiency to reconstruct B tracks only 6% smaller,
3. however next 10% fails the vertex fit
Example for channel Bs J/()
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B-hadrons - proper time resolution
Single-Gauss fit Complete Initial Complete-300 m (dc1)
TDR
Bs Ds 100 fs 98 fs 86 fs 67 fs
B 99 fs 98 fs 92 fs 69 fs
Bs J/ 85 fs 82 fs 85 fs 63 fs
Bd J/K 89 fs 86 fs - 69 fs
b J/p 101 fs 95 fs - 73 fs
Core of proper-time distribution similar in Complete and Initial layouts.Degradation vrt TDR: 20-35%.Degradation Complete 400m vrt 300m : 14%
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B-hadrons proper-time resolution, optimized xKalman
Both Complete and Initial layout similar: Bs proper-time reconstruction:
8% in tailsonly 0.3% fails vertex fit in both layouts
Example for channel Bs J/()
Complete Layout Initial Layout
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B-hadrons proper-time resolution, default xKalman
Bs proper-time resolution:
1. Complete layout 7% in tails2. Initial layout 16% in tails
… and lower efficiency of track reconstruction and less sucessful vertex fits
-> all these factors lead to decrease of efficiency. After final selection cuts in this channelInitial : Complete 3:5
Complete Layout Initial Layout
Example for channel Bs J/()
All four tracks of B reconstructed and B-vertex reconstructed= 82% (7% B in tails)
= 67% (16% B in tails)
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Efficiency of reconstruction of B-signal including vertex fit Initial vs Complete, optimal xKalman
Initial/Complete
Bs Ds D s K+0.5K- 0.5) 0.94
Bs J/(K+0.5K-0.5) 0.93
Bd J/K0.5 0.5 0.937
b J/p0.5 0.5 0.94
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Complete layout vrt Initial layout similar performance.
… so are we going to miss second pixel layer?
1. The simulation was optimistic 2. inefficiencies underestimated3. no misalignement
4. degradation appears at higher multiplicities - already at L =2 x 1033 cm-2 s-1
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Single-track performance:
Detector layout Complete layout
400m
Initial layout
400m
Process pp Bs X
Bs J/pp BsX
BsJ/pp bb X, b6X’
+ min bias for
L =2 x 1033 cm-2 s-1
pT ( 0.5-1.0 ) GeV 0.021 0.029 0.075
pT ( 1. - 3. ) GeV 0.020 0.022 0.039
pT ( 3. - 6. ) GeV 0.016 0.024 0.038
pT > 6. GeV 0.013 0.018 0.039
Complete layout vrt Initial similar - if only a signal event simulated.
Degradation at higher multiplicities (already at L =2 x 1033 cm-2 s-1 ).
wrong hit on track in b-layer; dependence on: layout, multiplicity and pT.
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Athena7.0.0 versus atrecon… different performance
Can ATHENA7.0.x be corrected ??
B-proper-time resolution[fs] Bs->Ds Bs->J/ b->J/
atrecon6.5.0 89.6 82.2 92.9
ATHENA7.0.0 97.3 92.1 107.7
atrecon6.5.0 'private' with pixel cluster errors as
95.3 87.3 103.9
ATHENA worse by
~10% than atrecon6.5.0
atrecon 'private' ~8% worse than atrecon6.5.0.
Degradation due to pixel clusters errors.
Other -smaller factor: ATHENA
more inefficiencies
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Athena7.0.0 versus atrecon… different performance
1. We finish DC1 with ATHENA reconstruction in which we are aware of errors
2. Degraded performance in proper-time vrt atrecon.3. Can ATHENA 7.0.x be improved?? NO
a) cannot invest time for old code – need people for 7.3.0…b) DC1 Simulation not realistic anyway, for instance
misalignment…
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Conclusions
1. Initial vrt Complete layout - similar performance – if no pileup, with optimized track search strategy in atrecon6.5.0.
a) Track-finding efficiency -7% for pt (0.5-1.0) GeV, only -2%. for pT>1GeV
b) Tracks with wrong hit in B-layer: Initial 3%, in Complete 2% for pT<1GeV
c) Efficiency of B-signal reconstruction Initial vrt Complete: lower by ~6% - due to track search inefficiency. Only 0.3% fails vertex fit in both Initial and Complete layouts.
2. Comparisons with other layouts
a) Mass resolution: degraded 10-15% vrt TDR,
b) Time resolution: degraded 20-30% vrt TDR, and 14% 400m vrt 300m.
3. Still to be done in DC1: Signal events with minimum bias.
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Conclusions,cont
4. We are aware of insufficiencies of DC1 and we understand their impact on performance.
5. This will alllow us to use reasonably the DC1 software validation results as a starting point to validate DC2 software.