muon hlt: status of the algorithms and performance

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