CMS PRS Tracker b tau Software Lucia Silvestris INFN Bari Workshop on b/tau Physics at LHC 30 th May 2002.

Slides:



Advertisements
Similar presentations
High Level Trigger (HLT) for ALICE Bergen Frankfurt Heidelberg Oslo.
Advertisements

CMS reconstruction and identification Part II CMS reconstruction and identification Part II A. Nikitenko Tau jetsTau jets Missing E T (briefly)Missing.
B Tagging with CMS Fabrizio Palla INFN Pisa B  Workshop Helsinki 29 May – 1 June 2002.
Alain Romeyer - January Light higgs decay in SUSY cascade - Status report Introduction Trigger efficiency B tagging Jet calibration Invariant mass.
Simulation Studies of a (DEPFET) Vertex Detector for SuperBelle Ariane Frey, Max-Planck-Institut für Physik München Contents: Software framework Simulation.
A Fast Level 2 Tracking Algorithm for the ATLAS Detector Mark Sutton University College London 7 th October 2005.
B triggering Fabrizio Palla INFN Pisa Consorzio CMS Italia Firenze 7 Sept
CMS High Level Trigger Selection Giuseppe Bagliesi INFN-Pisa On behalf of the CMS collaboration EPS-HEP 2003 Aachen, Germany.
Tracker reconstruction in CMS for HLT and offline Teddy Todorov IReS, Strasbourg Helsinki B-  workshop 31 st May 2002.
27 th June 2008Johannes Albrecht, BEACH 2008 Johannes Albrecht Physikalisches Institut Universität Heidelberg on behalf of the LHCb Collaboration The LHCb.
1  trigger optimization in CMS Tracker Giuseppe Bagliesi On behalf of  tracking group Workshop on B/tau Physics at LHC Helsinki, May 30 - June 1, 2002.
Vertex 2002 Kailua-Kona The heavy ionising particles in CMS tracker Hip effect description. The PSI beam test. Measurements of hip rate and induced dead.
Lucia Silvestris, INFN Bari and CERN/CMC Status Report on CPT Project 23 March 2001, CERN Meeting del Consorzio INFN Status Reports on CPT Project, on.
1 CMS Tracker Alignment and Implications for Physics Performance Nhan Tran Johns Hopkins University CMS Collaboration SPLIT
Performance of ATLAS & CMS Silicon Tracker Alessia Tricomi University and INFN Catania International Europhysics Conference on High Energy Physics EPS.
Framework for track reconstruction and it’s implementation for the CMS tracker A.Khanov,T.Todorov,P.Vanlaer.
Tracking at the ATLAS LVL2 Trigger Athens – HEP2003 Nikos Konstantinidis University College London.
The CMS Level-1 Trigger System Dave Newbold, University of Bristol On behalf of the CMS collaboration.
Ji Hyun Kim Korea University. Introduction Results of Trigger Study – Event generation – Trigger efficiency Trigger rates and Statistics 25 – 26 Sep.
Simulation issue Y. Akiba. Main goals stated in LOI Measurement of charm and beauty using DCA in barrel –c  e + X –D  K , K , etc –b  e + X –B 
1 Tracking Reconstruction Norman A. Graf SLAC July 19, 2006.
Tracking at LHCb Introduction: Tracking Performance at LHCb Kalman Filter Technique Speed Optimization Status & Plans.
H → ZZ →  A promising new channel for high Higgs mass Sara Bolognesi – Torino INFN and University Higgs meeting 23 Sept – CMS Week.
Real data reconstruction A. De Caro (University and INFN of Salerno) CERN Building 29, December 9th, 2009ALICE TOF General meeting.
Workshop on B/Tau Physics, Helsinki V. Karim ä ki, HIP 1 Software Alignment of the CMS Tracker V. Karimäki / HIP V. Karimäki / HIP Workshop.
Non-prompt Track Reconstruction with Calorimeter Assisted Tracking Dmitry Onoprienko, Eckhard von Toerne Kansas State University, Bonn University Linear.
USCMS May 2002Jim Branson 1 E/Gamma and b/Tau PRS (small US effort) (what you should work on when you finish…) US CMS Annual Collaboration Meeting May.
CHEP06, Mumbai-India, Feb 2006V. Daniel Elvira 1 The CMS Simulation Validation Suite V. Daniel Elvira (Fermilab) for the CMS Collaboration.
Performance of Track and Vertex Reconstruction and B-Tagging Studies with CMS in pp Collisions at sqrt(s)=7 TeV Boris Mangano University of California,
The CDF Online Silicon Vertex Tracker I. Fiori INFN & University of Padova 7th International Conference on Advanced Technologies and Particle Physics Villa.
Operation of the CMS Tracker at the Large Hadron Collider
Possibility of tan  measurement with in CMS Majid Hashemi CERN, CMS IPM,Tehran,Iran QCD and Hadronic Interactions, March 2005, La Thuile, Italy.
Kati Lassila-Perini/HIP HIP CMS Software and Physics project evaluation1/ Electron/ physics in CMS Kati Lassila-Perini HIP Activities in the.
22/11/2001Tommaso Boccali1 Simulation of the CMS Tracker Tommaso Boccali – SNS Pisa on behalf of the Tracker Simulation group Contributions from: Ariane,
Commissioning and Performance of the CMS High Level Trigger Leonard Apanasevich University of Illinois at Chicago for the CMS collaboration.
25 sep Reconstruction and Identification of Hadronic Decays of Taus using the CMS Detector Michele Pioppi – CERN On behalf.
The CMS Simulation Software Julia Yarba, Fermilab on behalf of CMS Collaboration 22 m long, 15 m in diameter Over a million geometrical volumes Many complex.
June 29, 2000DOE/NSF USCMS Computing and Software Report. HLT Studies D. Acosta1 High-Level Trigger Studies Darin Acosta University of Florida DOE/NSF.
MSSM H 0  3 prong using vertexing at CMS Helsinki b/tau workshop Lauri A. Wendland / HIP.
FIMCMS, 26 May, 2008 S. Lehti HIP Charged Higgs Project Preparative Analysis for Background Measurements with Data R.Kinnunen, M. Kortelainen, S. Lehti,
Digitization and hit reconstruction for Silicon Tracker in MarlinReco Sergey Shulga, Tatiana Ilicheva JINR, Dubna, Russia GSU, Gomel, Belarus LCWS07 30.
CALOR April Algorithms for the DØ Calorimeter Sophie Trincaz-Duvoid LPNHE – PARIS VI for the DØ collaboration  Calorimeter short description.
US CMS UC Riverside, 18-May-2001, S.Kunori1 Status of JetsMET Shuichi Kunori U. of Maryland 18-May-2001 PRS: Physics Reconstruction and Selection.
David Hutchcroft 1 VELO software. Lite clusters in Kalman fit 2 The VELO clusters are available both as a lite and “full” version Two consecutive blocks.
STAR Analysis Meeting, BNL – oct 2002 Alexandre A. P. Suaide Wayne State University Slide 1 EMC update Status of EMC analysis –Calibration –Transverse.
Software Tools for Layout Optimization (Fermilab) Software Tools for Layout Optimization Harry Cheung (Fermilab) For the Tracker Upgrade Simulations Working.
USCMS Physics, May 2001Darin Acosta1 Status Report of PRS/  D.Acosta University of Florida Current U.S. activities PRS/  Activities New PRS organization.
TeV muons: from data handling to new physics phenomena Vladimir Palichik JINR, Dubna NEC’2009 Varna, September 07-14, 2009.
Tommaso Boccali SNS and INFN Pisa Vertex 2002 Kailua-Kona, Hawaii 3-8 November 2002 High Level Triggers at CMS with the Tracker.
Régis Lefèvre (LPC Clermont-Ferrand - France)ATLAS Physics Workshop - Lund - September 2001 In situ jet energy calibration General considerations The different.
TeV Muon Reconstruction Vladimir Palichik JINR, Dubna NEC’2007 Varna, September 10-17, 2007.
B-Tagging Algorithms at the CMS Experiment Gavril Giurgiu (for the CMS Collaboration) Johns Hopkins University DPF-APS Meeting, August 10, 2011 Brown University,
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
3 May 2003, LHC2003 Symposium, FermiLab Tracking Performance in LHCb, Jeroen van Tilburg 1 Tracking performance in LHCb Tracking Performance Jeroen van.
Muon Reconstruction and Vertex Constraint Giovanni Abbiendi Bologna CMS meeting, 20 November 2007.
 reconstruction and identification in CMS A.Nikitenko, Imperial College. LHC Days in Split 1.
Pixel Phase 1 Physics/Simulations (Fermilab) for the Tracker Upgrade Simulations Group Pixel Phase 1 Physics/Simulations Harry Cheung (Fermilab) for the.
David Lange Lawrence Livermore National Laboratory
The LHCb Calorimeter Triggers LAL Orsay and INFN Bologna.
Using IP Chi-Square Probability
IOP HEPP Conference Upgrading the CMS Tracker for SLHC Mark Pesaresi Imperial College, London.
Upgrade Tracker Simulation Studies
Integration and alignment of ATLAS SCT
CMS Preshower: Startup procedures: Reconstruction & calibration
5% The CMS all silicon tracker simulation
CMS tracker reconstruction performance
The LHCb Level 1 trigger LHC Symposium, October 27, 2001
The CMS Tracking Readout and Front End Driver Testing
Contents First section: pion and proton misidentification probabilities as Loose or Tight Muons. Measurements using Jet-triggered data (from run).
Presentation transcript:

CMS PRS Tracker b tau Software Lucia Silvestris INFN Bari Workshop on b/tau Physics at LHC 30 th May 2002

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 2 Tracker b tau Software Project October 2000: presentation at TIB on CMS software re- organization (CPT Project) and possible implications for Tracker in terms of software tasks, deliverables and FTE. December 2000: TIB approved the Tracker software Project. March 2001: MB approved the CPT Project

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 3 PRS Groups Organization & Mandate MB 26 March 2001

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 4 PRS Tracker b tau Software Project Tracker b tauM.MannelliL.Silvestris Tracker Simulation T. Boccali Tracker Reconstruction T. Todorov Tracker Alignment F. Raupach Data Handling I. Tomalin Tools b tagging F. Palla Tools tau tagging S. Nikitenko Tk det Geometry A.Frey (SI) T.Speer(PXL) Tk det Response V. Ciulli (SI) D.Kotlinski (PXL ) Track Reconstr.T.T Vertex Reconstr. P. Vanlaer Data Handling I.T. (SI) D.Kotlinski (PXL) Tau tagging S.N. (Calo+PXL) G.Bagliesi (SI) November 2001

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 5 The two ways Pythia CmSim ORCA HEPEVT ntuple.fz events.rz geometry ooHits ORCA Digis ORCA Ntuple Tags Phys Sim Det Sim Conversion to OO Digitization Analysis Pythia OSCAR ORCA HEPEVT ntuple ooHits ORCA Digis ORCA Ntuple Tags The “old” way (Geant 3) The “new” way (Geant 4) tz geometry DDD geometry

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 6 Detector Description (CMSIM) TID next cmsim 126

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 7 Detector Description

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 8 Tracker Material Budget (cmsim)

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 9 Tracker Material Budget (cmsim)

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 10 Tracker Material Budget (cmsim)

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 11 OSCAR Detector Geometry Automatic tool to compare Cmsim/OSCAR geometry implemented. All the detectors (20280) are now within 5  m and also the orientation is fine. First DDD version for Tracker Geometry (OSCAR) is available

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 12 Material Budget in OSCAR ~1.3 Cmsim122 vs OSCAR (almost identical) OSCAR Cmsim 122

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 13 Tracker Detector Response A SimHit only knows about its entry and exit point in a detector (+ tof and energy deposit…) The energy released is spread into the detector volume along the line connecting these into a number of smaller deposits, whose signals are drifted to the strip plane. Landau fluctuations are allowed for the deposits. During the drift, Lorentz angle and diffusion are taken into account. Charge is injected into the strips, taking into account the inter- strip capacitive couplings. We have the so called Digis!!! Digis are clusterized and RecHits are made. Different zero suppression algorithms can be applied. (Data-rates studies) SimHitsDigis RecHits Landau fluctuations Lorentz angle and diffusion (less important) Injection Clusterization

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 14 Tracker Detector Response New and more reliable (from real tests in Karlsruhe) treatment of the Lorentz angle in silicon, as a function of bias, irradiation etc. Lorentz angle very important for hit resolution: Silicon: tan(  L ) = 0.12 (6° at 4T) Pixel: tan (  L ) = 0.53 (28° at 4T) Code in ORCA can be adapted via configurables to any Irradiation conditions Temperature V bias Etc… Silicon

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 15 Pixel Inefficiencies  Pixel detector will have substantial readout losses.  These losses are due to highly stochastic nature of our events, the direct causes are : buffer overflows and dead times.  Some type of losses affect single pixels, others whole pixel columns or even whole readout chips  The inefficiency value depends on the occupancy (luminosity & radius) and the 1st level trigger rate. Remember: pixel rechits are at the base of tracking! Pixel inefficiencies are properly treated in the official Tracker b tau production See Danek Talk

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 16 Tracker Detector Simulation Given a set of Digitization parameters, the simulation is adjusted to parameterize correctly the errors. RecHit residuals (  m) 10  m 20  50  m RecHit residuals (pulls) Pretty close to 1… Improvements in ORCA_6_2_0 ORCA_6_1_0

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 17 Data Handling… test-beam datasimulation of realistic FEDsThe idea is to stress the Tracker code to handle test-beam data and also the simulation of realistic FEDs (front-end drivers) We have to simulate realistic pedestals and noise and problems (dead/noisy strips…) in the Tracker, and then use ApvAnalysis to subtract/correct; then the rest of the reconstruction must follow. All the tools available (ORCA_6_1_0)

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 18 Data-Handling: Expected Tracker data Rates Study exist ORCA_6_1_0 Results depends on : Tracker strip occupancy –Pythia simulation, heavy Ion collisions, detector simulation, clustering cuts Knowledge of readout-electronics –Detector FED cabling Results updates Respect Data-Handling Mini-workshop dec 01

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 19 Tracker Strip occupancy Strip occupancy: fraction of strip associate with clusters by FED (on-line) cluster High lumi barrel endcap

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 20 Tracker Strip occupancy Pythia simulation –MSEL =1 or MSEL=2 (inclusion of diffractive events) Data rates increase 15%. Detector simulation –Increase the capacitive-coupling -> Data rate increase 11%. –Material out-side tracker fully simulated -> data rates in the last three endcap disks increased 3 times. New detector-FED cabling

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 21 Tracker Data Rates per FED max data rate in each DAQ switch is MB/s at High lumi. #FED 440 and #DAQ FED builder switch 272

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 22 OSCAR/CMSIM comparison using ORCA OSCARCMSIM etasim # rechits # silicon # pixel

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 23 OSCAR/CMSIM comparison using ORCA OSCARCMSIM Momentum ! Transverse momentum Dip angle All quantities are reconstructed ones Phi

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 24 Track Resolution using OSCAR Transverse momentum Momentum Dip angle IP resolution Everything is produced using standard btau code.

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 25 Tracker: Track Finding Efficiency Single  Starting from pixel seeds, combinatorial Kalman filter Global efficiency: selected RecTracks/all SimTracks Algorithmic efficiency: selected RecTracks/selected SimTracks SimTrack selection: at least 8 hits, at least 2 in pixel Global efficiency limited by pixel geometrical acceptance

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 26 Tracker: Pt Resolution Single muons 100 GeV Pt Resolution Level arm

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 27 Tracker: Track Finding Efficiency Single  Efficiency for  is lower compared to  due to secondary interactions in the Tracker Efficiency can be increased by relaxing track selection

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 28 Tracker: Track Finding Efficiency in Jets <10 -5 Efficiency for particles in a 0.4 cone around jet axis No significant degradation compared to single pions  fake = % rectrack associated to simtrack Track associated when shared >= 50% of rechits ET = 200 GeV Fake Rate < 8 *10^-3 ET = 50 GeV Fake Rate < 10*10 ^ -3 See Teddy Talk

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 29 Tracker: Vertex Reconstruction Primary Vertices: several methods are availables: Using only the Pixels: fast, resolution < 40  m in z Using full Tracker: slower, better resolution ~15  m in z (uu events) Secondary Vertex: Exclusive Vertices The basic tool for the vertexing classes is a general purpose fitter. Test on B 0 s  J/ , with J/  and  Secondary Vertex: Inclusive Vertices Useful for B and  tagging. Two methods available and tested (Combinatorial method, D0/  method) Others methods will be available in future (Trimmed vertex fitting, least median of squares) Analysis Tools: vertex selection and association, vertex finding efficiency and fake rate estimators. Generation of controlled event kinematics (VertexGun) will be interfaced to Track Fast Simulation (in Famos) See Pascal Talk

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 30 HLT When the Tracker could be used in the High Level Trigger Chain?? –None! The current DAQ design provides fully assembled events in the builder units after Level1 –All tracker Digis available –The only constraint is CPU time Why we would use the Tracker as soon as possible!! Detector FED DAQ

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 31 Partial reconstruction Basic idea: do the absolute minimum of reconstruction needed to answer a specific question Use the same reconstruction components as the full reconstruction –No need for writing, debugging, maintaining several tools for same task –No compromise on efficiency or accuracy except from limit on number of hits

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 32 Btrigger algorithm Input: L1 jet PixelSelectiveSeeds PixelLines [ Danek ] Minitracks with pixel hits PV from pixel ΔR around jet directions CombinatorialTrajectoryBuilder Stopping condition at n hits

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 33 Partial Track reconstruction Good resolution with only 5 hits [ Riccardo ]

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 34 Efficiency bb jets Fake Rate below 1%[ Riccardo ] Track Efficiency (for b tracks) (5 hits) Fake Rate (5 hits) Jet info from Lucell E t =100 GeV ΔR<0.4

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 35 B-tag performance E t =100 GeV jets barrel 0.<|η|<0.7 Rejection factor u jets ~10 with b jets efficiency <80% (online) [ Gabriele ] Jet-tag: 2 tracks with S IP >0.5,1.,1.5,2.,2.5,3.,3.5,4. OFFLINE HLT

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 36 Sign flip of IP L1 jet (poor) resolution in η and φ (σ~0.1) [ Livio ] 2d transverse IP sign flip [ Gabriele ] η rec - η sim σ η ~0.1 u b OFFLINE – Lucell HLT-L1 Jets

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 37 Jet axis measurements [ Livio ] L1 jets η L2 jets η L1 jets + Tk η L1 jets φ L2 jets φ L1 jets + Tk φ σ η =0.112 σ η ~ ms CPU σ η ~ ms CPU σ φ =0.126 σ φ ~0.034 σ φ ~0.024

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 38 L1+Tracks B-tag E t =100 GeV jets barrel 0.<|η|<0.7 Online performance is better with L1+Tk jets!! OFFLINE HLT Jet-tag: 2 tracks with S IP >0.5,1.,1.5,2.,2.5,3.,3.5,4. See Fabrizio Talk

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 39 Timing bb jets Increasing of reco time towards forward regions Tagging algorithm: <10 ms/ev !!! E t =100 GeV no PileUp ΔR<0.4 5 hits maxCand=3 Jet info: Lucell

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 40 See Sasha Talk

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 41 H  2   2 Jets Selection with Tracker Tracker Reconstruction steps (for single jet) :Time (sec) 3+2/2+1 (1 GHz cpu) BkgmH 200mH 500 Pxl Reco0.070/ / /0.044 Trk Reco 1 st Jet0.215/ / /0.100 Isolation for 1 st jet <0.005 Total Time0.290/ / /0.145 See Giuseppe Talk

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 42 HLT Today … –We achieved close to ms CPU times (or better) for complex HLT tracker algorithms –We achieved close to ms CPU times (or better) for complex HLT tracker algorithms (if we consider the fast detlayer implementation) –The tracker can be used at the first stage in the High Level Trigger on all events –Regional Seeding speed up in case of PileUp and High Luminosity

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 43 HLT (Next Steps) –Now almost all samples request from btau are available.. –… more and more realistic environment (Staged pixels, PileUp, High Luminosity, Mis-alignment) Tau studies with high luminosityTau studies with high luminosity (see Sasha, Lauri, Giuseppe talks) B inclusive and exclusive studies with low and high luminosityB inclusive and exclusive studies with low and high luminosity (see Fabrizio talk) Muon and electron studies (with PRS Muon and ECAL) at low and high luminosityMuon and electron studies (with PRS Muon and ECAL) at low and high luminosity. (see Kati talk)

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 44 Tracker Alignment Some tools for Alignment studies available See Saturday Session dedicated to Tracker Alignment

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 45 Alignment Tools ORCA Alignment Tools –MC generation with perfect geometry – simulate arbitrary misalignment at reconstruction level study track reconstruction (efficiency/resolution) test alignment procedures apply alignment procedures reflect structure of physical components: –realistic misalignment scenarios –minimizes later alignment parameters Now the same tools are used also from PRS Muon

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 46 Misalignment Studies (single-  ) track reconstruction (single- , P t =100GeV) random movements of rods / wedges + setting the Ali.Pos.Err. accordingly

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 47 More realistic: W  events with pileup (low lumi) random movements of rods / wedges reconstruct tracks with P t > 20GeV

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 48 Alignment Conclusions Alignment Tools: work –We need still add functionality Alignment studies: –reconstruction is uncritical up to even 1mm/1mrad misalignment (10 times more than survey/laser- alignment accuracy) How the mis-alignment affect the Tracker at HLT…

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 49 Conclusions PRS Tracker b tau Software is in good-shape. Tracker geometry and detector simulation –in Cmsim (Geant3) and OSCAR (Geant4) –Geant4 Physics validation will start (I.e. comparison between test-beam PSI data and simulation) Tracker Data-Handling Tracker data rates & test- beam analysis Track Reconstruction flexible & robust tool Vertex Reconstruction Primary & Secondary –Tracker Performances (pattern recognition, momentum resolution, vertex capability etc) –The Tracker (micro-strip and pixel) reconstruction is a powerful and fundamental tool for HLT

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 50 Conclusions HLT –Tau High Level Trigger (Calorimeters, Pixel, Silicon) and  Tau offline (tau decay vertex, mass, impact parameter) –b High Level Trigger (Impact Parameter, secondary vertices, Regional track finding) and b Offline (inclusive & exclusive) –Muon High Level Trigger –Electron High Level Trigger Tracker Alignment (tools available…) Next steps: Complete tau & b Analysis at 2* 10^33 and at 10^34 CMS Week (10 June 2002) DAQ TDR CMS Week (September 2002) ……

Back-up

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 52 Tracker Detector Simulation RecHit residuals (  m) RecHit residuals (pulls) Pretty close to 1… 10  m 20  40  m Given a set of Digitization parameters, the simulation is adjusted to parameterize correctly the errors. ORCA_5_4_x

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 53 How to reduce tracking time R M =0.1 R SIG =0.065R ISO =0.45 R REG = 0.45 Jet LT Reconstruct tracks inside R M only Find LT: –If LT doesn’t exists stop everything –If LT exists apply isolation on rec Tk, if it is not isolated stop everything If event is isolated go on reconstructing also tracks inside region between R M and R REG Apply isolation to all tracks. Staged scenarioBkgmH 200mH 500 Total Time (pxl + Tk + iso) > > > Tracker Reconstruction steps (for single jet) :Time (sec) 2+1 (1 GHz cpu)

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 54 Tracker: Pt Resolution

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 55 Tau case: Isolation Algorithms Signal vertex identified by: Pxl: leading track (P T >3GeV) Trk: best signal vertex candidate from pixel Reconstruction. signal vertex leading track jet axis jet matching cone  R = 0.1 signal cone reg Tk cone isolation cone Pxl: use pixel lines (i.e. tracks reconstructed only with pixel layers). Trk: use regional tracker reconstruction. Both algorithms count number of tracks inside signal (N SIG ) cone and isolation cone (N ISO ). Events is accepted if leading track exists and N SIG = N ISO

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 56 Example: Tracker L2 muon trigger Conditions: –High Pt threshold – around 15 GeV –Primary muon: transverse impact parameter below 30 microns –Direction known from L1 with 0.5 rad accuracy Tracker information needed: confirm existence of track with the selection criteria above Using regional seeding and Pt cut in trajectory building, it takes about 10 ms to reject L1 muon candidate Tracker can be used at Level 2!

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 57 Alignment with Tracks  Fake-rate ? two event only within mass peak reconstruct Z-mass in Z  events –movement rods/wedges  x =  y =  z =1000  m

30/05/02 b/tau WorkshopCMS Tracker SoftwareLucia Silvestris 58 Tracker Data Rates per FED Data rate variation event by event High lumi