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

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08Page 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  Package tag: TrigHLTMonitoring  Can be seen on CVS at:  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:

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08Page 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 ‘08Page 4 B-phys offline monitoring histograms planned  Single muon distributions  For each muon store p T,  separated into barrel/endcap regions  Di-muon distributions (no explicit selection)  For each oppositely charged muon pair passing certain p T and  cuts:  p T,  of high p T and low p T 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)  p T,  and TrkOrigin of high p T and low p T 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 ‘08Page 5 Invariant mass in Muon Stream: individual EF triggers Tuesday and Wednesday data normalised to number of events analysed Invariant mass spectrum with exclusive triggers Tuesday MuonStream Wednesday MuonStream FDR-2 example

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08Page 6 J/  high p T spectra: individual EF triggers FDR-2 example

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08Page 7  high p T spectra: individual EF triggers FDR-2 example

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08Page 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 ‘08Page 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 p T (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 p T (GeV)Efficiency 4.0— ± — ± — ± — ± — ±0.04 Single muon Efficiency Results for 0.8 pb -1 data See my talk at Muon Reconstruction meeting July 3 rd for more details

Darren Price – HLT B-trigger offline status report :: B-Physics meeting July 23 rd ‘08Page 10 Conclusions  First offline monitoring code for B-Phys is in , 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!