CMS TRACKER VISUALISATION TOOLS M.S. MENNEA, a G. ZITO, a A. REGANO a AND I. OSBORNE b a Dipartimento Interateneo di fisica di Bari & INFN sezione di Bari,

Slides:



Advertisements
Similar presentations
Use of G EANT 4 in CMS AIHENP’99 Crete, April 1999 Véronique Lefébure CERN EP/CMC.
Advertisements

Giuseppe Roselli (CMS-RPC) Università degli Studi di Bari – INFN RPC Efficiency with Track Reconstruction Giuseppe Roselli.
ET CMS detector resolution zCMS Silicon Strip Tracker zCMS Silicon Strip Detector Resolution zHIP Silicon Beam Telescope.
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.
ACAT ’02 CMS GEANT4 Sim. & Detector Desc. Pedro Arce(CERN/CIEMAT) 1 Simulation Framework and XML Detector Description for the CMS Experiment ARCE Pedro.
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.
Creation Of Control Systems In PVSS For Devices In The ALICE Detector A Large Ion Collider Experiment A dedicated heavy-ion detector at LHC (Large Hadron.
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.
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.
Event display monitoring Giuseppe Zito : Infn Bari Italy Beliy Nikita : University of Mons-Hainaut Belgium.
The SLHC and the Challenges of the CMS Upgrade William Ferguson First year seminar March 2 nd
Data Quality Monitoring of the CMS Tracker
Framework for track reconstruction and it’s implementation for the CMS tracker A.Khanov,T.Todorov,P.Vanlaer.
14th IEEE-NPSS Real Time Conference 2005, 8 June Stockholm.
Craft09 Visual Summary and Efficiency Trackermaps Giuseppe Zito : Infn Bari Italy Giuseppe Zito, Infn Bari.
Offline Tracker DQM Shift Tutorial. 29/19/20152 Tracker Shifts Overview Online Shifts at P5 (3/day for 24 hours coverage) – One Pixel shifter and one.
Test Of Distributed Data Quality Monitoring Of CMS Tracker Dataset H->ZZ->2e2mu with PileUp - 10,000 events ( ~ 50,000 hits for events) The monitoring.
1 Tracking Reconstruction Norman A. Graf SLAC July 19, 2006.
Outline What is IGUANA IGUANA and Other Projects Architecture Framework ORCA Visualisation IGUANA at D0 GEANT4 Visualisation OSCAR Visualisation DDD Visualisation.
Track Reconstruction: the trf & ftf toolkits Norman Graf (SLAC) ILD Software Meeting, DESY July 6, 2010.
David N. Brown Lawrence Berkeley National Lab Representing the BaBar Collaboration The BaBar Mini  BaBar  BaBar’s Data Formats  Design of the Mini 
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.
BESIII MC Release notes & planned development Dengzy, Hem, Liuhm, Youzy, Yuany Nov. 23, 2005.
Tracker data quality monitoring based on event display M.S. Mennea – G. Zito University & INFN Bari - Italy.
CHEP06, Mumbai-India, Feb 2006V. Daniel Elvira 1 The CMS Simulation Validation Suite V. Daniel Elvira (Fermilab) for the CMS Collaboration.
Event Display for the Visualization of CMS Data Lothar BAUERDICK (FNAL), Giulio EULISSE (FNAL), Christopher JONES (FNAL), Dmytro KOVALSKYI (UCSB), Thomas.
International Workshop on Linear Colliders, Geneve Muon reconstruction and identification in the ILD detector N. D’Ascenzo, V.Saveliev.
Operation of the CMS Tracker at the Large Hadron Collider
Detector Simulation Presentation # 3 Nafisa Tasneem CHEP,KNU  How to do HEP experiment  What is detector simulation?
Possibility of tan  measurement with in CMS Majid Hashemi CERN, CMS IPM,Tehran,Iran QCD and Hadronic Interactions, March 2005, La Thuile, Italy.
Track extrapolation to TOF with Kalman filter F. Pierella for the TOF-Offline Group INFN & Bologna University PPR Meeting, January 2003.
Kati Lassila-Perini/HIP HIP CMS Software and Physics project evaluation1/ Electron/ physics in CMS Kati Lassila-Perini HIP Activities in the.
CHEP-03 UCSD La Jolla124/03/2003 The PERSINT Visualization Program for the ATLAS Experiment D. Pomarède CEA/DSM/DAPNIA/SEDI.
CHEP07 conference 5 September 2007, T. Cornelissen 1 Thijs Cornelissen (CERN) On behalf of the ATLAS collaboration The Global-  2 Track Fitter in ATLAS.
The CMS detector as compared to ATLAS CMS Detector Description –Inner detector and comparison with ATLAS –EM detector and comparison with ATLAS –Calorimetric.
Michel Della Negra/Karlsruhe May PbWO4 Crystals: Energy Resolution  m /m = 0.5 [  E1 /E 1   E2 /E 2  cot(  /2)  ] H   Simulation (100.
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.
The 21st International Conference on Ultrarelativistic nucleus-nucleus collisions, March 30 – April 4, Knoxville, TN Results from cosmics and First LHC.
Tracker Visualization Tool: integration in ORCA Maria S. Mennea, Giuseppe Zito University & INFN Bari, Italy Tracker b-tau Cosmic Challenge preparation.
Live Event Display and Monitoring Program for a Muon Tomography Station Michael Phipps, Judson Locke, Michael Staib; Adviser: Dr. Marcus Hohlmann Department.
Bangalore, India1 Performance of GLD Detector Bangalore March 9 th -13 th, 2006 T.Yoshioka (ICEPP) on behalf of the.
Detector Description in LHCb Detector Description Workshop 13 June 2002 S. Ponce, P. Mato / CERN.
Evgeny Kryshen (PNPI) Mikhail Ryzhinskiy (SPbSPU) Vladimir Nikulin (PNPI) Detailed geometry of MUCH detector in cbmroot Outline Motivation Realistic module.
Claudio Grandi INFN-Bologna CHEP 2000Abstract B 029 Object Oriented simulation of the Level 1 Trigger system of a CMS muon chamber Claudio Grandi INFN-Bologna.
Plans to study the Readout design in the forward region June 12 th 2007 Hans Wenzel  Currently: one big sensitive silicon disks: we record the Geant 4.
CGEM-IT project and beam test program G. Felici for the FE-LNF-TO team Partially supported by the Italian Ministry of Foreign Affairs under the Program.
Giulio Eulisse, Northeastern University CHEP’04, Interlaken, 27th Sep - 1st Oct, 2004 CHEP’04 IGUANA Interactive Graphics Project:
FIRST RESULTS OF THE SILICON STRIP DETECTOR at STAR Jörg Reinnarth, Jonathan Bouchet, Lilian Martin, Jerome Baudot and the SSD teams in Nantes and Strasbourg.
An Event Display for the ATLAS Experiment ATLANTIS: CHEP, Interlaken, 30 th September 2004 Janice Drohan Jon Couchman Nikos Konstantinidis Zdenek Maxa.
TeV muons: from data handling to new physics phenomena Vladimir Palichik JINR, Dubna NEC’2009 Varna, September 07-14, 2009.
Geant4 User Workshop 15, 2002 Lassi A. Tuura, Northeastern University IGUANA Overview Lassi A. Tuura Northeastern University,
TeV Muon Reconstruction Vladimir Palichik JINR, Dubna NEC’2007 Varna, September 10-17, 2007.
University of Iowa Study of qq->qqH  qq ZZ Alexi Mestvirishvili November 2004, CMS PRS Workshop at FNAL.
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
TRTViewer: the ATLAS TRT detector monitoring and diagnostics tool 4 th Workshop on Advanced Transition Radiation Detectors for Accelerator and Space Applications.
MONITORING CMS TRACKER CONSTRUCTION AND DATA QUALITY USING A GRID/WEB SERVICE BASED ON A VISUALIZATION TOOL G. ZITO, M.S. MENNEA, A. REGANO Dipartimento.
Iterative local  2 alignment algorithm for the ATLAS Pixel detector Tobias Göttfert IMPRS young scientists workshop 17 th July 2006.
Track reconstruction of cosmic ray real data with the CMS tracker Piergiulio Lenzi Dipartimento di Fisica & INFN Firenze on behalf of the Silicon Strip.
Alignment of the CMS Tracker
Strawman A Status Report
Integration and alignment of ATLAS SCT
CMS Tracker Alignment with Cosmic Data and Strategy at the Startup
5% The CMS all silicon tracker simulation
The LHC collider in Geneva
Geometry checking tools
CMS Pixel Data Quality Monitoring
Measuring plane efficiencies
MUC simulation and reconstruction
Use of GEANT4 in CMS The OSCAR Project
Presentation transcript:

CMS TRACKER VISUALISATION TOOLS M.S. MENNEA, a G. ZITO, a A. REGANO a AND I. OSBORNE b a Dipartimento Interateneo di fisica di Bari & INFN sezione di Bari, Italy b Northeastern University, Boston, USA The CMS tracking system is a very complex sub- detector with more than modules each one a complete detector. The designed goal of the central tracker system is to reconstruct isolated high Pt tracks with an efficiency of better than 95%, and high Pt tracks within jets with an efficiency of better than 90% over the rapidity range  < 2.6. Important discoveries may depend on the ability of the tracking system to perform efficient b-tagging even at the highest luminosity. Tracker Geometry Visualisation The purpose of the simulated signal is to verify whether the data cards given to production produced correct results from the physicist point of view. It is also possible to verify the correctness of described tracker geometry by matching simulated data (sim hits) and sensitive detector units. Simulated tracks are shown as straight lines connecting the sim hits (shown as dots) belonging to the simulated track. The simulated tracks contain color-coded information about particle type: muons are shown red, electrons - green, pions - blue, the rest of charged particles - cyan. This information comes from the first sim hit which knows about the particle id. Simulated and Reconstructed Event Visualisation YZ projection Event with high luminosity (signal event plus pileup) Higgs -> ZZ -> e + e -  +  - XZ projection REDUCING EVENT COMPLEXITY Simulated tracks and simulated hits can be filtered, the parameters of the filters are given interactively. Both sim tracks and sim hits selected for visualisation use the same filters. Visualisation of the reconstructed event for ORCA - CMS reconstruction project - is used for verication of the digitization and reconstruction algorithms. A user has a possibility to check that simulated data (sim hits) belong to the detector units and all detector units are active, e.g. all detector units have sim hits. In addition he can match the simulated data to digis (signal) and reconstructed data. The rec hit is a reconstructed signal which is a point in space and for the stereo detector units it has a precise position in 3D. The rec hits from the rest of the detector units have a point with an error equal to the silicon channel length. We visualize the rec hit as a 3D point for the stereo detector units and a strip is shown for the rec hist which are not matched to the stereo detector units. During visualisation a user can zoom closely to see both a sim hit and a rec hit. The standard CMS visualisation tools have been complemented with a detailed object model of the tracker and an additional 2D graphics objects for: 1 - tracker parts selection 2 - select single modules in a layer 2 - Selection of single module Window that can be used to select single modules in a layer. 2D representation of the barrel cylinder or endcap disk. The rings consisting of stereo modules are drawn with two different colors: yellow and blue, so the user can select both the modules in a stereo pair. 1 - Selection of tracker parts Introducing a 2D schematic representation of the tracker parts,the user select each part (subdetector,layer,ring) by clicking on its representation on the image.One single bar represents a ring of a layer.The blue bars represent the rings with stereo modules. Whole parts of tracker can be selected with additionals buttons called PXB, PXE, TIB, ….. CMS experiment has chosen to build a visualisation tools for detector called IGUANACMS based on IGUANA, to provide basic 3D capabilities and integration within CMS framework. IGUANA provides an MDI (multi-document interface) GUI (graphical user interface) with: 3D representation of both detector and event objects. Standard projections of 3D Layered 2D projections Visualisation tools are used for debug and monitor the CMS tracker sub-detector hardware, event simulation and reconstruction algorithms and also used for the test- beams and physics analysis The CMS tracker geometry is fully described in DDD (detector description database) in XML format.This description is converted to the GEANT4 one and visualised whith OSCAR visualization in IGUANA. The description is very detailed such as materials, sensitive detectors and support structure as well as cables is available. The possibility to visualize volumes by material and other filters. Module selection technique contribute to clarify also the most complex event. Reconstructed tracks are shown as straight lines connecting the measurements produced by reconstruction.

CMS TRACKER VISUALISATION TOOLS SCHEMATIC TRACKER REPRESENTATION Tracker map use For event data: rec hits and sim hits visualisation For monitoring: many events accumulation This separated mode map for monitoring is obtained by accumulating the signal from one hundred events and coloring each module according the total number of hits in the module.Such a map can show quickly, during data taking, if there are problems by the presence of holes or increased activity. The same technique is used to monitor other detector running conditions, like temperature or voltages. Going to the level of the single channel There are a few hundred channels for each module corresponding to strips or pixels. The user can select (by selection window) a single layer of the 41 that form the tracker. The 2D schematic representation shows all modules at once in a single computer screen with single modules information coded in some way. We imagine to disassemble the whole tracker and to assemble it again on a flat surface putting the single modules in positions which are connected to their spatial position. The result is a kind of map of the whole tracker with each one of the 41 layers in a different position. 1 - Separated – by representing each module with a polygon in a different position. This is especially useful when you want to display separately the modules in a stereo pair (the yellow and blue triangles). 2 - Overlayed – by keeping the relative position of each module with its neighboring modules in order to show how modules overlap in space. Two ways to represent the single modules. Selecting “TrackerMap” twig a white windows frame will appear, where the user could visualize a 2D schematic representation of each selected (by selection window) single layer of tracker. Need for a specialized representation for monitoring Button in “All Tracker” mode Button in “Single Module” mode To write the value of the information represented: for example the number of the fired strips on the module To represent reconstructed and simulated hits.In the overlayed mode they are represented by single points in red and green respectively.In the separated mode we represent them by using a color code proportional to the number of hits in the module At this level it should be possible: for barrel layer and for endcap disk To represent fired strips PXE pixel endcap PXB pixel barrel TID tracker inner disks TIB tracker inner barrel TEC tracker endcap TOB tracker outer barrel >255 # of Rec hits for module References 1. "CMS Tracker Visualisation", Mennea,M.S; Regano,A; Zito,G. CMS-NOTE ; Geneva : CERN, 08Jun “IGUANA Architecture, Framework and Toolkit for Interactive Graphics”, G. Alverson, G. Eulisse, S. Muzaffar, I. Osborne, L.A. Tuura, L. Taylor - CHEP03, La Jolla, California March 24-28, 2003.