muon hlt: status of the algorithms and performance
DESCRIPTION
Muon HLT: status of the algorithms and performance. Sergio Grancagnolo for the Muon HLT group. Summary. Performances Efficiencies of muFast, muComb, TrigMoore Efficiencies and p T resolutions for MuidSA and MuidCB EF Comparison TrigMuonEF vs TrigMoore - PowerPoint PPT PresentationTRANSCRIPT
Muon HLT: status of the algorithms and performance
Sergio Grancagnolo
for the Muon HLT group
Summary
• Performances– Efficiencies of muFast, muComb, TrigMoore
– Efficiencies and pT resolutions for MuidSA and MuidCB
• EF– Comparison TrigMuonEF vs TrigMoore– TRT only chains: comparison with all ID
reconstruction
LVL2: muFast efficiency wrt LVL1
e322_s461_r534 OFLCOND-SIM-00-00-03
e322_s461_r535 known problems of the real detector(dead channels, noisy channels, etc.)
vs. pT vs. eta
LVL2: muComb efficiency wrt LVL1
vs. pT vs. eta
e322_s461_r534e322_s461_r535
EF: MS reconstruction wrt LVL2
vs. pT vs. eta
e322_s461_r534e322_s461_r535
EF: Muon extrapolated and combined reconstruction wrt LVL2
e322_s461_r534e322_s461_r535
Extrapolation Combination
Muon EF: pT resolution
Extrapolation Combination
e322_s461_r534e322_s461_r535
TrigMuonEF - Introduction• Validation of TrigMuonEF wrt TrigMoore performance
• Based on AODs produced in 14.2.20, bugfix + tags to fix bug #39808 – MuonRdoToPrepData-01-03-14– RecExCond-00-01-39– MuonRecExample-00-13-20
• Only mu6 (TrigMoore) and mu6_ef (TrigMuonEF) enabled – Consistent threshold cuts at L2
• valid3.005200.T1_McAtNlo_Jimmy.digit.RDO.e322_s46
• ~19k ttbar events 8
Efficiency vs eta TrigMoore
TrigMuonEF
Effi
cien
cy Effi
cien
cy
Extrapolator (MuidStandalone)MS extrapolated @IP
Combined (MuidCombined)
Efficiency w.r.t. L2 muComb
9
Turn-on curves
No cuts
pT > 6 GeV
pT > 20 GeV
pT > 40 GeV
Full circles = TrigMoore
Open circles = TrigMuonEF
Efficiency w.r.t. L2 muComb
Effi
cienc
y
pt pt
pt pt
Effi
cienc
y
Effi
cienc
y Effi
cienc
y
Extrapolatorbarrel
Extrapolatorendcaps
Combinedendcaps
Combinedbarrel
10
Fake and good tracks
Extrapolation
Combined Extrapolation
Combined
fakes good
fakes good
fakes good
fakes good
mu0 196 (2.1%)
9040
80 (0.8%)
9034
228 (2.5%)
9062
71 (0.8%)
9066
mu6 129 (1.4%)
8933
74 (0.8%)
8970
142 (1.6%)
8928
61(0.7%)
8994
mu20
22 (0.4%)
5919
8 (0.1%)
5951
29 (0.5%)
5905
6 (0.1%)
5953
18600 ttbar events
Same R (<0.1) cut for both extrapolation and combined
R distributionextrapolator
R distributioncombined
TrigMoore
TrigMuonEF
TrigMoore
TrigMuonEF
TrigMoore TrigMuonEF
11
eta-phi resolutions vs pt• Each resolution (eta,phi) at vertex is comparable• The TrigMuonEF Extrapolator has worse phi resolution than
TrigMooreTrigMuonEF extrapolator
TrigMoore extrapolator
TrigMuonEF combined
TrigMoore combined
12
pT Resolutions
TrigMoore
TrigMuonEF
• The TrigMuonEF Extrapolator has sligthly better pT resolution than TrigMoore for pT<40GeV
pt pt
PT
reso
luti
on
PT
reso
luti
onExtrapolator (MuidStandalone) Combined (MuidCombined)
13
14
LVL2 ID tracking with TRT
Using TRTSegFinder_Muon on a cosmic runNo tracks combinedNeed to pass to the cosmic configuration for ID algos
• muComb code with TRT only ready (TrigmuComb-00-00-42)
• Not yet in the release• Require a LVL2 chain under
developement
Setup to run TrigMuonEF with TRT only
• Tested on val,rel_2,14.2.30 (last week) with testMuonSliceAthenaModernRDO.py on tt events
• Tags required – Reconstruction/MuonIdentification/MuidCombinedTools-00-03-01– Trigger/TrigAlgorithms/TrigMuonEF-00-00-48
• Instead of– TrigEFIDInsideOut_Muon()– TrigMuonEFCombinerConfig()
use– TrigEFIDOutsideInTRTOnly_Muon()– TrigMuonEFCombinerConfigTRTOnly()
within Trigger/TriggerCommon/TriggerMenuPython/python/Muon.py • TrigMuonEFCombiner configured with
– MuidMatchMaker.MatchTrtTracks = True– self.IdTracks = "InDetTrigTrackSlimmerTRTOnly_Muon_EFID"
• ID tracks name changed from InDetTrigParticleCreation_Muon_EFID to InDetTrigParticleCreationTRTOnly_Muon_EFID
Comparison TRT only / all ID
• Number of TRT hits shown– More TRT only tracks reconstructed
Entries 4365Entries 4143
All ID
Tracks that do not reack TRT
TRT only
Comparison TRT only / all ID (II)
• eta distribution for MS-ID combined tracks– Fake TRT only tracks killed in combination– Lost tracks are outside the TRT acceptance
Entries 811Entries 884
All ID TRT only
Conclusions
• Muon HLT is performing well
• Transition to TrigMuonEF ready– To be enabled the pT hypo algo if requested
• First results with TRT only tracks encouraging– To complete configuration for LVL2