CHEP07 conference 5 September 2007, T. Cornelissen 1 Thijs Cornelissen (CERN) On behalf of the ATLAS collaboration The Global-  2 Track Fitter in ATLAS.

Slides:



Advertisements
Similar presentations
E.K.Stefanides March 07, The Muon Spectrometer of the ATLAS detector: progress report on construction and physics studies at the University of Athens.
Advertisements

TRT LAr Tilecal MDT-RPC BOS Pixels&SCT 1 The Atlas combined testbeam Thijs Cornelissen, NIKHEF Jamboree, Nijmegen, December 2004.
B-tagging, leptons and missing energy in ATLAS after first data Ivo van Vulpen (Nikhef) on behalf of the ATLAS collaboration.
Simulation Studies of a (DEPFET) Vertex Detector for SuperBelle Ariane Frey, Max-Planck-Institut für Physik München Contents: Software framework Simulation.
TIME-05 Workshop, 3-7 October 2005, Zurich 1 Probabilistic Data Association Filter for the fast tracking in ATLAS Transition Radiation Tracker Dmitry Emeliyanov,
LiC Detector Toy CLIC-ILC Detector R&D, Geneva, 25 July 2008 W. Mitaroff, HEPHY Vienna LiC Detector Toy Vienna fast simulation and track fit tool for flexible.
A Fast Level 2 Tracking Algorithm for the ATLAS Detector Mark Sutton University College London 7 th October 2005.
The ATLAS B physics trigger
1 Vertex fitting Zeus student seminar May 9, 2003 Erik Maddox NIKHEF/UvA.
D. Peterson, Muon Spectrometers at ATLAS and CMS, presentation to LEPP 19-Nov  spectrometers at ATLAS and CMS Our charge: Survivability Resolution.
First CMS Results with LHC BeamToyoko Orimoto, Caltech 1 First CMS Results with LHC Beam Toyoko Orimoto California Institute of Technology On behalf of.
TB & Simulation results Jose E. Garcia & M. Vos. Introduction SCT Week – March 03 Jose E. Garcia TB & Simulation results Simulation results Inner detector.
The Time-of-Flight system of the PAMELA experiment: in-flight performances. Rita Carbone INFN and University of Napoli RICAP ’07, Rome,
The digitization procedure occurs separately for each Muon technology, MDT, CSC, RPC and TGC. Here the main steps of each MuonHits to Muon Digits conversion.
Framework for track reconstruction and it’s implementation for the CMS tracker A.Khanov,T.Todorov,P.Vanlaer.
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.
Precision Drift Chambers for the ATLAS Muon Spectrometer Susanne Mohrdieck Max-Planck-Institut f. Physik, Munich for the ATLAS Muon Collaboration Abstracts:
Track Reconstruction: the trf & ftf toolkits Norman Graf (SLAC) ILD Software Meeting, DESY July 6, 2010.
Manoj Kumar Jha INFN – Bologna On Behalf of ATLAS Muon Calibration Group 20 th October 2010/CHEP 2010, Taipei ATLAS Muon Calibration Framework.
19/07/20061 Nectarios Ch. Benekos 1, Rosy Nicolaidou 2, Stathes Paganis 3, Kirill Prokofiev 3 for the collaboration among: 1 Max-Planck-Institut für Physik,
CHEP06, Mumbai-India, Feb 2006V. Daniel Elvira 1 The CMS Simulation Validation Suite V. Daniel Elvira (Fermilab) for the CMS Collaboration.
International Workshop on Linear Colliders, Geneve Muon reconstruction and identification in the ILD detector N. D’Ascenzo, V.Saveliev.
Tracking at Level 2 for the ATLAS High Level Trigger Mark Sutton University College London 26 th September 2006.
Primary Vertex Reconstruction in the ATLAS Experiment at LHC K. Prokofiev (University of Sheffield) (in part supported by EU FP6 Research Training Network.
Operation of the CMS Tracker at the Large Hadron Collider
Muon-raying the ATLAS Detector
Magnetic Field Issues for Simulation and Reconstruction N. Amapane, N. Neumeister Workshop on LHC Physics with High-p T Muons in CMS Bologna, April 9-12,
LCWS 06 Bangalore, India, March Track fitting using weight matrix Nick Sinev, University of Oregon.
The CMS detector as compared to ATLAS CMS Detector Description –Inner detector and comparison with ATLAS –EM detector and comparison with ATLAS –Calorimetric.
1 ATLAS SCT Endcap C Efficiency Measurement Nicholas Austin IoP Conference April 2009.
The Status of the ATLAS Experiment Dr Alan Watson University of Birmingham on behalf of the ATLAS Collaboration.
T. Kawamoto1 ATLAS muon small wheels for ATLAS phase-1 upgrade LHCC T. Kawamoto (New) small wheels ? Why new small wheels for high.
Nectarios Ch. Benekos CERN/ATLAS EESFYE - HEP 2003 Workshop, NTUA, April 17-20, 2003 Performance of the ATLAS ID Reconstruction.
Luca Spogli Università Roma Tre & INFN Roma Tre
May 31th, 2007 LCWS C. Gatto 1 Tracking Studies in the 4 th Concept On behalf of 4th Concept Software Group D. Barbareschi V. Di Benedetto E. Cavallo.
Muon Reconstruction with Moore and MuonIdentification The Moore/MUID group Atlas Physics Workshop Athens, May 2003.
1 The ATLAS SemiConductor Tracker commissioning at SR1 APS and JPS joint conference October 30, 2006 Ryuichi Takashima ( Kyoto Univ. of Education ) For.
8 April 2000Karel Safarik: Tracking in ALICE1 Tracking in ALICE  OUTLOOK: Requirements History Tracking methods Track finding Tracking efficiency Momentum.
Precision Drift Chambers for the ATLAS Muon Spectrometer
Muon detection in NA60  Experiment setup and operation principle  Coping with background R.Shahoyan, IST (Lisbon)
First CMS Results with LHC Beam
2002 LHC days in Split Sandra Horvat 08 – 12 October, Ruđer Bošković Institute, Zagreb Max-Planck-Institute for Physics, Munich Potential is here...
The Detector Performance Study for the Barrel Section of the ATLAS Semiconductor Tracker (SCT) with Cosmic Rays Yoshikazu Nagai (Univ. of Tsukuba) For.
TeV muons: from data handling to new physics phenomena Vladimir Palichik JINR, Dubna NEC’2009 Varna, September 07-14, 2009.
TeV Muon Reconstruction Vladimir Palichik JINR, Dubna NEC’2007 Varna, September 10-17, 2007.
Giuseppe Ruggiero CERN Straw Chamber WG meeting 07/02/2011 Spectrometer Reconstruction: Pattern recognition and Efficiency 07/02/ G.Ruggiero - Spectrometer.
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
CMS Cathode Strip Chambers Performance with LHC Data Vladimir Palichik JINR, Dubna NEC’2013 Varna, September 10,
ATLAS The ConditionDB is accessed by the offline reconstruction framework (ATHENA). COOLCOnditions Objects for LHC The interface is provided by COOL (COnditions.
RD07, June Firenze Alignment Strategy for the CMS Silicon Tracker Marco Rovere 1 for the CMS Collaboration 1 Università di Milano-Bicocca & INFN.
Tracking software of the BESIII drift chamber Linghui WU For the BESIII MDC software group.
Track Reconstruction in MUCH and TRD Andrey Lebedev 1,2 Gennady Ososkov 2 1 Gesellschaft für Schwerionenforschung, Darmstadt, Germany 2 Laboratory of Information.
Track Reconstruction: the ftf and trf toolkits Norman Graf (SLAC) Common Software Working Meeting CERN, January 31, 2013.
LDC behavior at θ ≤ 20° ALCPG '07, Fermilab, Oct M. Regler, M. Valentan presented by W. Mitaroff LDC behavior of ∆(1/p t ) at polar angle θ.
Real data in the Muon Spectrometer Bernardo RESENDE and a lot of other people not named here NIKHEF Jamboree, December 2008.
Atlas SemiConductor Tracker final integration and commissioning Andrée Robichaud-Véronneau Université de Genève on behalf of the Atlas SCT collaboration.
Iterative local  2 alignment algorithm for the ATLAS Pixel detector Tobias Göttfert IMPRS young scientists workshop 17 th July 2006.
Muon identification in ATLAS Peter Kluit (NIKHEF).
NIPHAD meeting 16 September 2005, T. Cornelissen 1 Tracking results in the testbeam Thijs Cornelissen.
Tracking detectors/2 F.Riggi.
Dmitry Emeliyanov, Rutherford Appleton Laboratory
CMS muon detectors and muon system performance
Approved Plots from CMS Cosmic Runs (mostly CRUZET, some earlier)
Integration and alignment of ATLAS SCT
The Compact Muon Solenoid Detector
ATLAS Muon Spectrometer and
Silicon Tracking with GENFIT
Project Presentations August 5th, 2004
Bringing the ATLAS Muon Spectrometer to Life with Cosmic Rays
Presentation transcript:

CHEP07 conference 5 September 2007, T. Cornelissen 1 Thijs Cornelissen (CERN) On behalf of the ATLAS collaboration The Global-  2 Track Fitter in ATLAS Talk presented by M. Elsing (CERN)

CHEP07 conference 5 September 2007, T. Cornelissen P 2 The Inner Tracker - Cylindrical cavity, length:6.8m, diameter:2.2m - Axial field of max strength 2T, superconducting solenoid in front of the ECAL, length:5.3m - Precision tracking, 2ndary vertex detection - Passive material in supports, cooling pipes, … Pixels Si Pixel Detectors 3 Barrels & 2*3 Endcap Disks ~0.8*10 8 channels 3 space points 5cm < R < 12cm SemiConductor Tracker (SCT) Si Strip Detectors 4 Barrels & 2*9 Endcap Disks ~6*10 6 channels 4 space points 30cm < R < 52cm Transition Radiation Tracker (TRT) Straw tubes ~50K Barrel tubes & ~ 250K Endcap tubes ~3.5*10 5 channels 36 measurements R < 1m Electron ID

CHEP07 conference 5 September 2007, T. Cornelissen P 3 Muon Spectrometer The Muon Spectrometer Monitored drift tubes (MDT) ~320,000 tubes Hit resolution 80  m ~20 hits per track |  | < 2.7 Cathode strip chambers (CSC) ~70,000 channels Hit resolution 60  m 4 precision hits per track 2 < |  | < 2.7 Thin gap chambers (TGC) ~440,000 channels Hit resolution ~1 cm 1 < |  | < 2.4 Triggering Resistive Plate Chambers (RPC) ~355,000 channels Hit resolution ~1 cm |  | < 1 Triggering

CHEP07 conference 5 September 2007, T. Cornelissen P 4 ATLAS Common Tracking Project The common tracking framework provides a basis for track reconstruction in the Inner Detector and the Muon Spectrometer It emphasizes: Modularity: For each step in the reconstruction, abstract interfaces are defined such that the user can choose at runtime between several modules Abstraction: The Common Tracking tools and classes are designed to be applicable in both the ID and the MS Consistency: The Event Data Model (e.g. Trk::Track, Trk::MeasurementBase, …) imposes strict conventions on the output of the tracking modules, ensuring that they communicate properly. The combination of these features leads to an open and flexible framework, making it easy for new developers to contribute The common tracking framework is being used as well as a testbed for new tracking techniques (e.g. STEP, advanced brem fitting, …)

CHEP07 conference 5 September 2007, T. Cornelissen P 5 Use Cases for Global-  2 Track Fit The Global-  2 Fitter package is used in the following places: One option for Inner Detector tracking (default is Kalman Filter) Default track fitter for Inner Detector cosmics and testbeam reconstruction Default track fitter in one of the muon reconstruction packages By design, any track fitter in the common tracking framework can refit a track on ESD/AOD from any other package, e.g. an ID track, a muon track, or a combined ID+muon track An important feature of the global track fit is that it provides the scattering angles. The interfaces in the ATLAS Tracking model allow to expose this information to other algorithms, such as: The global  2 alignment algorithm (see talk by S. Gonzalez Sevilla et al., abstract #129)abstract #129 The HitDisplay event display package (it shows the scattering angles in the track) Another feature is that it can solve the left/right signs in the TRT by itself.

CHEP07 conference 5 September 2007, T. Cornelissen P 6 Approaches to Track Fitting Different approaches to track fitting are available in ATLAS: Kalman Fitter: progressive linear estimator, a “local” approach, updates the track parameters by adding one measurement at a time Global-  2 Fitter: is “global”, in the sense that it uses all the measurements at once during an iteration Specialized track fitters: Gaussian Sum Filter, Dynamic Noise Adjustment KF for brem-fitting, Deterministic Anaeling Filter All approaches use an Extrapolator tool for parameter transport between measurements The extrapolator has “knowledge” of the tracking volumes and material layers, by using the Navigator tool The actual propagation through the magnetic field is performed using the Propagator tool (e.g. Runge-Kutta)

CHEP07 conference 5 September 2007, T. Cornelissen P 7 Integration in Tracking Framework Both the Kalman Fitter and the Global-  2 Fitter use a common material source, the Tracking Geometry (see talk by A. Salzburger, abstract #192)abstract #192 Kalman Fitter Global-  2 Fitter ExtrapolatorDynamicLayerCreator Propagator Navigation TrackParameters + Covariance vec Tracking Geometry TrackParameters +TransportMatrix

CHEP07 conference 5 September 2007, T. Cornelissen P 8 Newton-Rhapson Minimization Reminder: given N uncorrelated residuals r and their derivatives dr/d , the update formula for the track parameters  is: By multiplying the inverse of the matrix A with b, the difference between the old and the new track parameters is obtained. This process continues until the fit converges. The residuals r are obtained by propagating to each hit using the propagator. The derivatives are obtained using the Runge-Kutta propagator: It provides the transport matrix for each propagation Simple matrix multiplication then provides the derivatives required by the global fit

CHEP07 conference 5 September 2007, T. Cornelissen P 9 Propagation of Track Parameters The highly inhomogeneous magnetic field in the muon system makes numerical stability in the track fit a delicate issue. The Runge-Kutta propagator in ATLAS uses the Bugge-Myrheim method for calculating the transport matrix. Fully (semi-)analytic, i.e. precise, fast and robust. A new propagator, the STEP propagator (E. Lund et al.), applies a continuous material correction at each Runge-Kutta step. This will improve the tracking precision in the presence of dense volumes, like the toroids and feet in ATLAS.

CHEP07 conference 5 September 2007, T. Cornelissen P 10 The scattering angles and the energy losses become additional fit parameters, along with the track parameters at the vertex (i.e. impact parameter, direction and momentum). The  2 function to be minimized w.r.t. the fit parameters is: where  y are the residuals, and  scat and  E can be estimated from the material properties (done by the MultipleScatteringUpdator and EnergyLossUpdator tools) Scattering Angle Formulation  scat

CHEP07 conference 5 September 2007, T. Cornelissen P 11 Single Muon Tracks (simulated) Example of a fitted track in the Inner Detector (left) and the Muon Spectrometer (right). The scattering centers are drawn as red dots.

CHEP07 conference 5 September 2007, T. Cornelissen P 12 Track Parameter Resolutions (G4) As expected, the track parameter resolutions of the Kalman Fitter and the Global-  2 Fitter are identical The timing of the Global-  2 Fitter can still be improved, currently twice as slow as the Kalman Fitter in the ID

CHEP07 conference 5 September 2007, T. Cornelissen P 13 Momentum Resolution (p T =10 GeV) As expected, the momentum resolution of the Global-  2 Fitter is at least as good as in the standard muon reconstruction. Muon reconstructionRefit with Global-  2 Fitter

CHEP07 conference 5 September 2007, T. Cornelissen P 14 Combined Muon Tracking in ALTAS Incorporates Inner Detector and Muon Spectrometer measurements into a single track fit with O(100) degrees of freedom. Has several advantages over ID and MS standalone fits: Gives best possible momentum resolution Allows to perform global ID-muon alignment Reduces fakes from e.g. pion decay Energy loss in the calorimeter can not be ignored becomes additional parameter in fit fit can use either a parametrized or a measured energy loss calorimeter measurement is preferred if a strong brem is detected, and if the track is isolated.

CHEP07 conference 5 September 2007, T. Cornelissen P 15 Cosmics with Toroid field ON November 2006: cosmics data taken in the muon spectrometer with the toroidal field enabled Plots show fitted cosmic track with field using the Global-  2 Fitter P=1.4 GeV Inner station Middle station Outer station

CHEP07 conference 5 September 2007, T. Cornelissen P 16 First Combined Muon in Cosmics Straight line fit to the TRT and MDT hits (56 hits in total) Fit quality:  2 /ndf  (assuming 3 mm for the MDT resolution) Integration of material corrections not straightforward with straight tracks!

CHEP07 conference 5 September 2007, T. Cornelissen P 17 Conclusions The Global-  2 track fitting algorithm has been implemented in the ATLAS common tracking framework Robust track fitter used for reconstruction cosmics and test beam data It offers some unique features, such as the scattering angles on the track It is integrated with a powerful alignment algorithm The track parameter resolutions are equivalent to those obtained with the Kalman Fitter (common material and field model)