Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 1

HLT B-trigger offline monitoring statusHLT B-trigger offline monitoring status

Darren PriceDarren Price, , LANCASTER UNIVERSITYLANCASTER UNIVERSITY

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 2

HLT B-trigger offline monitoring

Offline HLT monitoring activities for B-Physics have recently started

Currently basing monitoring activities around single muons (L2, EF, offline tracks) and using J/ and resonances to identify problems (as experienced in FDR studies)

B-Physics offline monitoring code recently added to release for the first time Running in Athena 14.2.10 Package tag: TrigHLTMonitoring-00-01-14 Can be seen on CVS at:

http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/offline/Trigger/TrigMonitoring/TrigHLTMonitoring/

Offline code currently is in an early stage of development: in this report I will outline plans for the next major update

A twiki page has been set-up which will document the monitoring histograms in both online and offline software: https://twiki.cern.ch/twiki/bin/view/Atlas/BPhysicsSliceDataQualityMonitoring

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 3

Black points are Tuesday Muon Stream data

Blue points are Wednesday Muon Stream data

Monitoring FDR-2 Muon Stream: Tue vs. Wed

As a reminder of things that can happen, look at Muon Stream from Tuesday vs. Wednesday, FDR-2 data

On Tuesday, peak is present, on Wednesday it is gone!

This problem not due to trigger in FDR-2, but trigger problems may cause these kind of effects with real data! Maybe not this dramatic: can be sensitive to problems by monitoring a number of important quantities...

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 4

B-phys offline monitoring histograms planned

Single muon distributions For each muon store pT, separated into barrel/endcap regions

Di-muon distributions (no explicit selection) For each oppositely charged muon pair passing certain pT and cuts:

pT, of high pT and low pT muon, along with TrkOrigin (primary or sec. Vtx)

Invariant mass distribution of di-muon pairs in 2—12 GeV region

Di-muon distributions (onia candidates: fit to vertex, look in mass window) pT, and TrkOrigin of high pT and low pT muon from onia candidates R muon separation distributions for candidates 2/DoF of vertex fit for candidates Psuedo-proper time distribution for both J/ and Invariant mass distributions separated into Barrel-Barrel, Barrel-Endcap

and Endcap-Endcap (defined by location of the two muons)

‘Muon’ in this context means a histogram for L2 muons, EF muons and offline muons (Staco or Muid configured by jobOptions)

Should store these histograms for individual EF trigger menu items, and in addition a corresponding histogram summed over

all trigger items of interest

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 5

Invariant mass in Muon Stream: individual EF triggers

Tuesday and Wednesday data normalised to number of events analysedInvariant mass spectrum with exclusive triggers

Tuesday MuonStreamWednesday MuonStream

FD

R-2

exam

ple

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 6

J/high pT spectra: individual EF triggersFD

R-2

exam

ple

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 7

high pT spectra: individual EF triggersFD

R-2

exam

ple

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 8

Further monitoring histograms planned

Additional comparisons of J/ and candidates: Compare onia candidates at HLT with offline candidates (masses) Check for correlations and efficiencies between EF and offline di-muons

J/candidates without muon identification (‘probe-probe’ efficiencies) Can look at J/resonance without muon identification (TrackParticles only

– see talks at recent B-Phys meetings) and use this as unbiased monitor of individual EF trigger efficiencies

TrackParticles not dependent on muon trigger, can compare to J/yield in muon case

Can produce overview histogram of % yield compared to ‘optimal’ (TrackParticle) as a function of trigger item

Tag-and-probe efficiencies At later stage, should also work with experts for B-Phys tag-and-probe to

include this measure of reconstruction efficiencies, again as a function of EF trigger item

Again histograms should be for L2, EF and offline muons, and for each EF trigger item of interest...

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 9

‘Probe-probe’ single muon efficiency from J/

Di-muon efficiencies calculated from muon id tracks vs. all tracks in J/resonances in bins of pT (or ) from ratio of integrals under Gaussian

Only bias is from muon triggers (use Trig Decision from FDR-1 Muon Stream) Possible to extract a

parameterisation of the single muon efficiency in the region studied

Good for monitoring of individual EF triggers pT (GeV) Efficiency

4.0—4.5 0.65±0.02

4.5—5.0 0.77±0.03

5.0—5.5 0.84±0.03

5.5—6.0 0.80±0.04

6.0—6.5 0.82±0.04

Sin

gle

m

uon

Eff

icie

ncy

Results for 0.8 pb-1 data

See my talk at Muon Reconstruction meeting July 3rd for more details

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08 Page 10

Conclusions

First offline monitoring code for B-Phys is in 14.2.10, but still at an early stage

Many histograms planned to be added for next major update

Amount of histograms is (probably) a problem!

Seems like a reasonable number when listed, but having each histogram for each L2/EF/offline and trigger item combination quickly expands the number!

Many to look at: ~O(500), any good way of separating them?! Shifter/Expert – anything else?

Would be undesirable to lose some, unless willing to lose sensitivity to problems.

At early stages want as much information as possible, hard to predict where problems may arise at first!