Atlantis event display tutorial

Size: px
Start display at page:

Download "Atlantis event display tutorial"

Transcription

1 Atlantis event display tutorial basic features Zdenek Maxa (University College London) Atlantis team

2 Introduction features Atlantis event display is a stand-alone Java application Uses variety of 2D projections, multiple views (windows) on canvas A part of the ATLAS offline SW, but depends only on Java Uses simplified detector geometry (not a detector display) JiveXML (written in C++) interfaces ATLAS SW framework Athena (its event store) and Atlantis, JiveXML produces XML event files containing physics information Access to event data from Atlantis locally reading XML event files produced by JiveXML (offline) reading event data over network from JiveXML server (online) 2

3 Introduction goals Primary goals visual investigation and understanding of complete ATLAS events Secondary goals help develop reconstruction and analysis algorithms commissioning support (special subsystems features e.g. TileCal pulse shapes, online Point1 monitoring, etc) pictures and animations for publications and presentations interactive analysis (interactive Athena) 3

4 Data The following data may currently be visualised in Atlantis 3D silicon points, silicon strip clusters and TRT straws Si Geant hits, Trigger space points Simulated tracks, neutral particles, sim. and rec. vertices Reconstructed tracks - collections from Trk::Track Reconstructed secondary vertices LAr, Tile, HEC and FCAL calorimeter cells and clusters ROIs, Jet, ETMis Muon data - MDT, RPC, TGC, CSC hits and CSC clusters Simulated and reconstructed muon tracks Associations (hits to track, cells to cluster etc) AOD data 4

5 Detector/Data oriented projections 3D Cartesian coordinates x,y,z are not always optimal for colliding beam experiments More natural and useful are the non-linear combinations which reflect the design of ATLAS ρ = sqrt(x2+y2) φ = arctan(y/x) θ = arctan(ρ/z) where x, y, z need to be slightly modified to take into account the primary vertex of the underlying event (xvtx yvtx zvtx ) x' = x-xvtx, y' = y-yvtx, z' = z-zvtx 5

6 YX projection TILE, LAr barrel, RPC (intuitive) RPC 6

7 ρz projection calos, muon hits (intuitive) 7

8 ΦZ projection - TRT and LAr endcaps, HEC, TGC TGC TRT 8

9 Φη projection and the V-Plot Φ ρ = ρ Max V-Plot Draw each space point twice at Φ,η+k*(ρ-ρMax) and Φ,η-k*(ρ-ρMax) ρ= 2cm η low pt, -ve Distorted V s track not from IP high pt, +ve 9 3D information For tracks can judge Φ η pt (slope of V arms) charge (down: -ve up: +ve)

10 Detector Geometry Used to convey quickly to the user the context in which physics information (event) is viewed Idealized geometry is adequate and desirable (e.g. LAr pre-sampler is only 1 cm thick and would be invisible if drawn as such Geometry files are stored in two separate XML files (1 InDet, Calo ; 2 - Muon) produced by JiveXML which takes the information from Athena detector store (GeoModel) 10

11 Atlantis Canvas & GUI menu bar window control (drag & drop) interaction control ZMR Pick Rubberband Synchro cursor menus Projections Data switches Cuts Data configs InDet Calo Muon AOD Subdetectors output window 11

12 Online help for (almost ;-) every component right click on component - online help windows pops up 12 hover for tool-tip help

13 Atlantis/JiveXML visualisation ATLAS detector offline / online / interactive mode of running with respect to the Athena framework byte stream digi files ESD, AOD XML event files read offline (1MB current cosmics, 15MB full lumi) Atlantis Canvas (XY view) 1 2 XML event data read online over network using XMLRPC, on-demand transfer of event data 3 JiveXML offline framework Athena runs reconstruction chain and JiveXML converter Athena Atlantis interactively (two way, interactive analysis) 13

14 Online event access Atlantis Canvas ρz view Atlantis sends event data requests over network (on demand / automatically - timer) JiveXML XMLRPC server (running as a posix thread in Athena) transmits XML event data 1-to-N communication model (many users retrieving the same reconstructed events) Online event access dialog XML event data in payload of XMLRPC message XMLRPC server JiveXML Athena <?xml version="1.0"?> <methodresponse> <params> <param> <value> <string>...event data... </string> </value> </param> </params> <methodresponse> 14 Get Event timer Save event

15 Interactive Athena Interactive (Python) prompt facility of the Athena framework enabling to steer it interactively using Athena commands (interactive analysis) InteractiveServer counterpart of Atlantis on the Athena prompt implemented in Python, it acts as XMLRPC server receives Athena commands from Atlantis user who drives Athena from Atlantis dialog 1-to-1 communication model, the user controls own Athena session Atlantis user can instruct Athena to process next event, change / query job-options of the framework, execute algorithms, etc Use case: In my display, I see three tracks which look like coming from a secondary vertex. I want to fit a vertex with the Athena vertexing tool 15

16 Interactive vertexing XY view, zoomed into ATLAS Inner Detector (internal Atlantis vertex fitter) (2) put selected tracks into the list (3) call Athena vertex fitter (4) at Athena, InteractiveServer receives tracks indices and calls the vertex fitter (1) select (rubberband) few tracks (5) if found, vertex is stored into event store interactive Athena dialog (6) get updated event data 16

17 Information sources, download Atlantis Atlantis website: download, install, run (double click on atlantis.jar under MS Win, java -jar atlantis.jar on Linux) plenty of documentation, startup guide, etc picture database Atlantis available in the ATLAS offline SW releases under the directory graphics/atlantisjava 17

18 Former contributors Many people contributed to the development of Atlantis. In particular: Gary Taylor (UC Santa Cruz) Dumitru Petrusca (Siegen/CERN) Jon Couchman (UCL) Frans Crijns (Nijmegen) Janice Drohan (UCL) Qiang Lu (Birmingham) 18 Principal developer Initial work on GUI, calos Athena algorithm (JiveXML) Muon geometry CTB features Development

19 Current contributors Hans Drevermann (CERN) Eric Jansen (Nijmegen) Peter Klok (Nijmegen) Adam Davison (UCL) Nikos Konstantinidis (UCL) Sebastian Boeser (UCL) Zdenek Maxa (UCL) Juergen Thomas (Birmingham) Mark Stockton (Birmingham) Charles Timmermans (Nijmegen) Peter Watkins (Birmingham) 19 Original ideas, Fortran version Development Webpage / picture database Development Development, co-ordination Development Development JiveXML development Development Development Co-ordination

Event visualisation for the ATLAS experiment - the technologies involved

Event visualisation for the ATLAS experiment - the technologies involved Event visualisation for the ATLAS experiment - the technologies involved CHEP 06, Mumbai, India Qiang Lu, Juergen Thomas, Peter Watkins (University of Birmingham) Hans Drevermann, Dumitru Petrusca (CERN)

More information

Trigger information in the Atlantis event display

Trigger information in the Atlantis event display Trigger information in the Atlantis event display Qiang Lu, Juergen Thomas, Peter Watkins (Birmingham) Hans Drevermann (CERN) Andrew Haas (Columbia) Eric Jansen, Pieter Klok, Charles Timmermans (Nijmegen,

More information

Atlantis: Visualization Tool in Particle Physics

Atlantis: Visualization Tool in Particle Physics Atlantis: Visualization Tool in Particle Physics F.J.G.H. Crijns 2, H. Drevermann 1, J.G. Drohan 3, E. Jansen 2, P.F. Klok 2, N. Konstantinidis 3, Z. Maxa 3, D. Petrusca 1, G. Taylor 4, C. Timmermans 2

More information

Event Displays and LArg

Event Displays and LArg Event Displays and LArg Columbia U. / Nevis Labs Slide 1 Introduction Displays are needed in various ways at different stages of the experiment: Software development: understanding offline & trigger algorithms

More information

The ATLAS Conditions Database Model for the Muon Spectrometer

The ATLAS Conditions Database Model for the Muon Spectrometer The ATLAS Conditions Database Model for the Muon Spectrometer Monica Verducci 1 INFN Sezione di Roma P.le Aldo Moro 5,00185 Rome, Italy E-mail: monica.verducci@cern.ch on behalf of the ATLAS Muon Collaboration

More information

The full detector simulation for the ATLAS experiment: status and outlook

The full detector simulation for the ATLAS experiment: status and outlook The full detector simulation for the ATLAS experiment: status and outlook A. Rimoldi University of Pavia & INFN, Italy A.Dell Acqua CERN, Geneva, CH The simulation of the ATLAS detector is a major challenge,

More information

ATLAS PILE-UP AND OVERLAY SIMULATION

ATLAS PILE-UP AND OVERLAY SIMULATION ATLAS PILE-UP AND OVERLAY SIMULATION LPCC Detector Simulation Workshop, June 26-27, 2017 ATL-SOFT-SLIDE-2017-375 22/06/2017 Tadej Novak on behalf of the ATLAS Collaboration INTRODUCTION In addition to

More information

ATLAS Simulation Computing Performance and Pile-Up Simulation in ATLAS

ATLAS Simulation Computing Performance and Pile-Up Simulation in ATLAS ATLAS Simulation Computing Performance and Pile-Up Simulation in ATLAS John Chapman On behalf of the ATLAS Collaboration LPCC Detector Simulation Workshop 6th-7th October 2011, CERN Techniques For Improving

More information

Reducing CPU Consumption of Geant4 Simulation in ATLAS

Reducing CPU Consumption of Geant4 Simulation in ATLAS Reducing CPU Consumption of Geant4 Simulation in ATLAS John Chapman (University of Cambridge) on behalf of the ATLAS Simulation Group Joint WLCG & HSF Workshop 2018 Napoli, Italy - 28th March 2018 Current

More information

Electron and Photon Reconstruction and Identification with the ATLAS Detector

Electron and Photon Reconstruction and Identification with the ATLAS Detector Electron and Photon Reconstruction and Identification with the ATLAS Detector IPRD10 S12 Calorimetry 7th-10th June 2010 Siena, Italy Marine Kuna (CPPM/IN2P3 Univ. de la Méditerranée) on behalf of the ATLAS

More information

Fast pattern recognition with the ATLAS L1Track trigger for the HL-LHC

Fast pattern recognition with the ATLAS L1Track trigger for the HL-LHC Fast pattern recognition with the ATLAS L1Track trigger for the HL-LHC On behalf of the ATLAS Collaboration Uppsala Universitet E-mail: mikael.martensson@cern.ch ATL-DAQ-PROC-2016-034 09/01/2017 A fast

More information

Muon Reconstruction and Identification in CMS

Muon Reconstruction and Identification in CMS Muon Reconstruction and Identification in CMS Marcin Konecki Institute of Experimental Physics, University of Warsaw, Poland E-mail: marcin.konecki@gmail.com An event reconstruction at LHC is a challenging

More information

Muon Software Tutorial. Rick Wilkinson Caltech

Muon Software Tutorial. Rick Wilkinson Caltech Muon Software Tutorial Rick Wilkinson Caltech The Basics Q: Is there a Muon class? A : No. A muon is just a RecTrack, the same class as the Tracker uses. Q: What information can I get from a RecTrack?

More information

ATLAS, CMS and LHCb Trigger systems for flavour physics

ATLAS, CMS and LHCb Trigger systems for flavour physics ATLAS, CMS and LHCb Trigger systems for flavour physics Università degli Studi di Bologna and INFN E-mail: guiducci@bo.infn.it The trigger systems of the LHC detectors play a crucial role in determining

More information

Physics and Detector Simulations. Norman Graf (SLAC) 2nd ECFA/DESY Workshop September 24, 2000

Physics and Detector Simulations. Norman Graf (SLAC) 2nd ECFA/DESY Workshop September 24, 2000 Physics and Detector Simulations Norman Graf (SLAC) 2nd ECFA/DESY Workshop September 24, 2000 Simulation studies for a future Linear Collider We believe that the physics case for the LC has been made.

More information

Alignment of the ATLAS Inner Detector

Alignment of the ATLAS Inner Detector Alignment of the ATLAS Inner Detector Heather M. Gray [1,2] on behalf of the ATLAS ID Alignment Group [1] California Institute of Technology [2] Columbia University The ATLAS Experiment tile calorimeter

More information

Design of the new ATLAS Inner Tracker (ITk) for the High Luminosity LHC

Design of the new ATLAS Inner Tracker (ITk) for the High Luminosity LHC Design of the new ATLAS Inner Tracker (ITk) for the High Luminosity LHC Jike Wang (DESY) for the ATLAS Collaboration May/2017, TIPP 2017 LHC Machine Schedule In year 2015, ATLAS and CMS went into Run2

More information

Monte Carlo programs

Monte Carlo programs Monte Carlo programs Alexander Khanov PHYS6260: Experimental Methods is HEP Oklahoma State University November 15, 2017 Simulation steps: event generator Input = data cards (program options) this is the

More information

Physics CMS Muon High Level Trigger: Level 3 reconstruction algorithm development and optimization

Physics CMS Muon High Level Trigger: Level 3 reconstruction algorithm development and optimization Scientifica Acta 2, No. 2, 74 79 (28) Physics CMS Muon High Level Trigger: Level 3 reconstruction algorithm development and optimization Alessandro Grelli Dipartimento di Fisica Nucleare e Teorica, Università

More information

PoS(ACAT)049. Alignment of the ATLAS Inner Detector. Roland Haertel Max-Planck-Institut für Physik, Munich, Germany

PoS(ACAT)049. Alignment of the ATLAS Inner Detector. Roland Haertel Max-Planck-Institut für Physik, Munich, Germany Max-Planck-Institut für Physik, Munich, Germany E-mail: haertel@mppmu.mpg.de The ATLAS experiment at the LHC is currently under construction at CERN and will start operation in summer 2008. The Inner Detector

More information

Alignment of the ATLAS Inner Detector tracking system

Alignment of the ATLAS Inner Detector tracking system Alignment of the ATLAS Inner Detector tracking system Instituto de Física Corpuscular (IFIC), Centro Mixto UVEG-CSIC, Apdo.22085, ES-46071 Valencia, E-mail: Regina.Moles@ific.uv.es The ATLAS experiment

More information

Overview of the American Detector Models

Overview of the American Detector Models Overview of the American Detector Models Univ. of Oregon The American study groups have investigated two specific models Choosing any particular detector design is a compromise between competing constraints

More information

A New Segment Building Algorithm for the Cathode Strip Chambers in the CMS Experiment

A New Segment Building Algorithm for the Cathode Strip Chambers in the CMS Experiment EPJ Web of Conferences 108, 02023 (2016) DOI: 10.1051/ epjconf/ 201610802023 C Owned by the authors, published by EDP Sciences, 2016 A New Segment Building Algorithm for the Cathode Strip Chambers in the

More information

Detector Response Simulation

Detector Response Simulation Simulating the Silicon Detector Norman Graf SLAC March 17, 2005 Detector Response Simulation Use Geant4 toolkit to describe interaction of particles with matter. Thin layer of LC-specific C++ provides

More information

1. INTRODUCTION 2. MUON RECONSTRUCTION IN ATLAS. A. Formica DAPNIA/SEDI, CEA/Saclay, Gif-sur-Yvette CEDEX, France

1. INTRODUCTION 2. MUON RECONSTRUCTION IN ATLAS. A. Formica DAPNIA/SEDI, CEA/Saclay, Gif-sur-Yvette CEDEX, France &+(3/D-ROOD&DOLIRUQLD0DUFK 1 Design, implementation and deployment of the Saclay muon reconstruction algorithms (Muonbox/y) in the Athena software framework of the ATLAS experiment A. Formica DAPNIA/SEDI,

More information

Updated impact parameter resolutions of the ATLAS Inner Detector

Updated impact parameter resolutions of the ATLAS Inner Detector Updated impact parameter resolutions of the ATLAS Inner Detector ATLAS Internal Note Inner Detector 27.09.2000 ATL-INDET-2000-020 06/10/2000 Szymon Gadomski, CERN 1 Abstract The layout of the ATLAS pixel

More information

A LVL2 Zero Suppression Algorithm for TRT Data

A LVL2 Zero Suppression Algorithm for TRT Data A LVL2 Zero Suppression Algorithm for TRT Data R. Scholte,R.Slopsema,B.vanEijk, N. Ellis, J. Vermeulen May 5, 22 Abstract In the ATLAS experiment B-physics studies will be conducted at low and intermediate

More information

Status Report of PRS/m

Status Report of PRS/m Status Report of PRS/m D.Acosta University of Florida Current U.S. activities PRS/m Activities New PRS organization 1 EMU Software Workshop Workshop held at UCDavis in late February helped focus EMU software

More information

8.882 LHC Physics. Track Reconstruction and Fitting. [Lecture 8, March 2, 2009] Experimental Methods and Measurements

8.882 LHC Physics. Track Reconstruction and Fitting. [Lecture 8, March 2, 2009] Experimental Methods and Measurements 8.882 LHC Physics Experimental Methods and Measurements Track Reconstruction and Fitting [Lecture 8, March 2, 2009] Organizational Issues Due days for the documented analyses project 1 is due March 12

More information

Evolution of ATLAS conditions data and its management for LHC Run-2

Evolution of ATLAS conditions data and its management for LHC Run-2 1 2 3 4 5 6 7 8 9 10 11 12 13 Evolution of ATLAS conditions data and its management for LHC Run-2 Michael Böhler 1, Mikhail Borodin 2, Andrea Formica 3, Elizabeth Gallas 4, Voica Radescu 5 for the ATLAS

More information

ATLAS NOTE. December 4, ATLAS offline reconstruction timing improvements for run-2. The ATLAS Collaboration. Abstract

ATLAS NOTE. December 4, ATLAS offline reconstruction timing improvements for run-2. The ATLAS Collaboration. Abstract ATLAS NOTE December 4, 2014 ATLAS offline reconstruction timing improvements for run-2 The ATLAS Collaboration Abstract ATL-SOFT-PUB-2014-004 04/12/2014 From 2013 to 2014 the LHC underwent an upgrade to

More information

Trigger and Data Acquisition at the Large Hadron Collider

Trigger and Data Acquisition at the Large Hadron Collider Trigger and Data Acquisition at the Large Hadron Collider Acknowledgments (again) This overview talk would not exist without the help of many colleagues and all the material available online I wish to

More information

GNAM for MDT and RPC commissioning

GNAM for MDT and RPC commissioning GNAM for MDT and RPC commissioning G. Crosetti, D. Salvatore, P.F. Zema (Cosenza) M. Della Pietra (Napoli) R. Ferrari, G. Gaudio, W. Vandelli (Pavia) 10 th Muon Week, Cetraro July 2005 Summary * GNAM and

More information

Performance of the GlueX Detector Systems

Performance of the GlueX Detector Systems Performance of the GlueX Detector Systems GlueX-doc-2775 Gluex Collaboration August 215 Abstract This document summarizes the status of calibration and performance of the GlueX detector as of summer 215.

More information

Update of the BESIII Event Display System

Update of the BESIII Event Display System Update of the BESIII Event Display System Shuhui Huang, Zhengyun You Sun Yat-sen University, Guangzhou, 510275, China E-mail: huangshh28@mail2.sysu.edu.cn, youzhy5@mail.sysu.edu.cn Abstract. The BESIII

More information

Optimisation Studies for the CLIC Vertex-Detector Geometry

Optimisation Studies for the CLIC Vertex-Detector Geometry CLICdp-Note04-002 4 July 204 Optimisation Studies for the CLIC Vertex-Detector Geometry Niloufar Alipour Tehrani, Philipp Roloff CERN, Switzerland, ETH Zürich, Switzerland Abstract An improved CLIC detector

More information

Track reconstruction with the CMS tracking detector

Track reconstruction with the CMS tracking detector Track reconstruction with the CMS tracking detector B. Mangano (University of California, San Diego) & O.Gutsche (Fermi National Accelerator Laboratory) Overview The challenges The detector Track reconstruction

More information

Production and Quality Assurance of Detector Modules for the LHCb Silicon Tracker

Production and Quality Assurance of Detector Modules for the LHCb Silicon Tracker Production and Quality Assurance of Detector Modules for the LHCb Silicon Tracker Olaf Steinkamp for Dmytro Volyanskyy Physik-Institut der Universität Zürich 10th ICATPP Conference on Astroparticle, Particle,

More information

PoS(Vertex 2007)030. Alignment strategy for the ATLAS tracker. Tobias Golling. Lawrence Berkeley National Laboratory (LBNL)

PoS(Vertex 2007)030. Alignment strategy for the ATLAS tracker. Tobias Golling. Lawrence Berkeley National Laboratory (LBNL) Alignment strategy for the ATLAS tracker Lawrence Berkeley National Laboratory (LBNL) E-mail: TFGolling@lbl.gov The ATLAS experiment is a multi-purpose particle detector that will study high-energy particle

More information

LHC-B. 60 silicon vertex detector elements. (strips not to scale) [cm] [cm] = 1265 strips

LHC-B. 60 silicon vertex detector elements. (strips not to scale) [cm] [cm] = 1265 strips LHCb 97-020, TRAC November 25 1997 Comparison of analogue and binary read-out in the silicon strips vertex detector of LHCb. P. Koppenburg 1 Institut de Physique Nucleaire, Universite de Lausanne Abstract

More information

Update of the BESIII Event Display System

Update of the BESIII Event Display System Journal of Physics: Conference Series PAPER OPEN ACCESS Update of the BESIII Event Display System To cite this article: Shuhui Huang and Zhengyun You 2018 J. Phys.: Conf. Ser. 1085 042027 View the article

More information

Performance of the ATLAS Inner Detector at the LHC

Performance of the ATLAS Inner Detector at the LHC Performance of the ALAS Inner Detector at the LHC hijs Cornelissen for the ALAS Collaboration Bergische Universität Wuppertal, Gaußstraße 2, 4297 Wuppertal, Germany E-mail: thijs.cornelissen@cern.ch Abstract.

More information

Geant4 activities at DESY

Geant4 activities at DESY Geant4 activities at DESY 3 rd Ecfa/Desy workshop Prague November 2002 Frank Gaede DESY -IT- Outline Introduction Current work Near term goals Looking ahead Conclusion ECFA/DESY workshop Prague 11/02 Frank

More information

v1.5 Latest version: v16r2 Panoramix: Interactive Data Visualization for LHCb Author: Guy Barrand (Framework) + contribution from many individuals

v1.5 Latest version: v16r2 Panoramix: Interactive Data Visualization for LHCb Author: Guy Barrand (Framework) + contribution from many individuals v1.5 from a physicist Panoramix: Interactive Data Visualization for LHCb Author: Guy Barrand (Framework) + contribution from many individuals lhcb-panoramix@cern.ch Web page: http://lhcb-comp.web.cern.ch/lhcb-comp/frameworks/visualization/

More information

Beam test measurements of the Belle II vertex detector modules

Beam test measurements of the Belle II vertex detector modules Beam test measurements of the Belle II vertex detector modules Tadeas Bilka Charles University, Prague on behalf of the Belle II Collaboration IPRD 2016, 3 6 October 2016, Siena, Italy Outline Belle II

More information

The Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland

The Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland Available on CMS information server CMS CR -2009/098 The Compact Muon Solenoid Experiment Conference Report Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland 15 April 2009 FROG: The Fast And Realistic

More information

CLAS12 Offline Software Tools. G.Gavalian (Jlab) CLAS Collaboration Meeting (June 15, 2016)

CLAS12 Offline Software Tools. G.Gavalian (Jlab) CLAS Collaboration Meeting (June 15, 2016) CLAS12 Offline Software Tools G.Gavalian (Jlab) Overview Data Formats: RAW data decoding from EVIO. Reconstruction output banks in EVIO. Reconstruction output convertor to ROOT (coming soon). Data preservation

More information

Access to ATLAS Geometry and Conditions Databases

Access to ATLAS Geometry and Conditions Databases Access to ATLAS Geometry and Conditions Databases Vakho Tsulaia University of Pittsburgh ATLAS South Caucasus Software/Computing Workshop & Tutorial Tbilisi, 2010 10 26 Outline Introduction to ATLAS Geometry

More information

HLT Hadronic L0 Confirmation Matching VeLo tracks to L0 HCAL objects

HLT Hadronic L0 Confirmation Matching VeLo tracks to L0 HCAL objects LHCb Note 26-4, TRIG LPHE Note 26-14 July 5, 26 HLT Hadronic L Confirmation Matching VeLo tracks to L HCAL objects N. Zwahlen 1 LPHE, EPFL Abstract This note describes the HltHadAlleyMatchCalo tool that

More information

PoS(High-pT physics09)036

PoS(High-pT physics09)036 Triggering on Jets and D 0 in HLT at ALICE 1 University of Bergen Allegaten 55, 5007 Bergen, Norway E-mail: st05886@alf.uib.no The High Level Trigger (HLT) of the ALICE experiment is designed to perform

More information

A ROOT-based Client-Server Event Display for the ZEUS Experiment

A ROOT-based Client-Server Event Display for the ZEUS Experiment A ROOT-based Client-Server Event Display for the ZEUS Experiment O. Kind, J. Rautenberg University of Bonn,Physikalisches Institut,D-53115 Bonn, Germany C. Genta INFN and Dipartimento di Fisica dell Universita

More information

PoS(IHEP-LHC-2011)002

PoS(IHEP-LHC-2011)002 and b-tagging performance in ATLAS Università degli Studi di Milano and INFN Milano E-mail: andrea.favareto@mi.infn.it The ATLAS Inner Detector is designed to provide precision tracking information at

More information

Simulation and Physics Studies for SiD. Norman Graf (for the Simulation & Reconstruction Team)

Simulation and Physics Studies for SiD. Norman Graf (for the Simulation & Reconstruction Team) Simulation and Physics Studies for SiD Norman Graf (for the Simulation & Reconstruction Team) SLAC DOE Program Review June 13, 2007 Linear Collider Detector Environment Detectors designed to exploit the

More information

The CMS L1 Global Trigger Offline Software

The CMS L1 Global Trigger Offline Software The CMS L1 Global Offline Software Vasile Mihai Ghete Institute for High Energy Physics, Vienna, Austria Seminar 08-09 June 2009, HEPHY Vienna CMS experiment Tracker pixel detector: 3 barrel layers, 2

More information

Track reconstruction for the Mu3e experiment based on a novel Multiple Scattering fit Alexandr Kozlinskiy (Mainz, KPH) for the Mu3e collaboration

Track reconstruction for the Mu3e experiment based on a novel Multiple Scattering fit Alexandr Kozlinskiy (Mainz, KPH) for the Mu3e collaboration Track reconstruction for the Mu3e experiment based on a novel Multiple Scattering fit Alexandr Kozlinskiy (Mainz, KPH) for the Mu3e collaboration CTD/WIT 2017 @ LAL-Orsay Mu3e Experiment Mu3e Experiment:

More information

FAMOS: A Dynamically Configurable System for Fast Simulation and Reconstruction for CMS

FAMOS: A Dynamically Configurable System for Fast Simulation and Reconstruction for CMS FAMOS: A Dynamically Configurable System for Fast Simulation and Reconstruction for CMS St. Wynhoff Princeton University, Princeton, NJ 08544, USA Detailed detector simulation and reconstruction of physics

More information

Alignment of the CMS Silicon Tracker

Alignment of the CMS Silicon Tracker Alignment of the CMS Silicon Tracker Tapio Lampén 1 on behalf of the CMS collaboration 1 Helsinki Institute of Physics, Helsinki, Finland Tapio.Lampen @ cern.ch 16.5.2013 ACAT2013 Beijing, China page 1

More information

Prompt data reconstruction at the ATLAS experiment

Prompt data reconstruction at the ATLAS experiment Prompt data reconstruction at the ATLAS experiment Graeme Andrew Stewart 1, Jamie Boyd 1, João Firmino da Costa 2, Joseph Tuggle 3 and Guillaume Unal 1, on behalf of the ATLAS Collaboration 1 European

More information

EicRoot for tracking R&D studies

EicRoot for tracking R&D studies EicRoot for tracking R&D studies Alexander Kiselev EIC Software Meeting Jefferson Lab September,24 2015 Contents of the talk Tracking code implementation in EicRoot Few particular applications: Basic forward

More information

TPC Detector Response Simulation and Track Reconstruction

TPC Detector Response Simulation and Track Reconstruction TPC Detector Response Simulation and Track Reconstruction Physics goals at the Linear Collider drive the detector performance goals: charged particle track reconstruction resolution: δ reconstruction efficiency:

More information

Simulating the RF Shield for the VELO Upgrade

Simulating the RF Shield for the VELO Upgrade LHCb-PUB-- March 7, Simulating the RF Shield for the VELO Upgrade T. Head, T. Ketel, D. Vieira. Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil European Organization for Nuclear Research

More information

ATLAS ITk Layout Design and Optimisation

ATLAS ITk Layout Design and Optimisation ATLAS ITk Layout Design and Optimisation Noemi Calace noemi.calace@cern.ch On behalf of the ATLAS Collaboration 3rd ECFA High Luminosity LHC Experiments Workshop 3-6 October 2016 Aix-Les-Bains Overview

More information

The Database Driven ATLAS Trigger Configuration System

The Database Driven ATLAS Trigger Configuration System Journal of Physics: Conference Series PAPER OPEN ACCESS The Database Driven ATLAS Trigger Configuration System To cite this article: Carlos Chavez et al 2015 J. Phys.: Conf. Ser. 664 082030 View the article

More information

TPC Detector Response Simulation and Track Reconstruction

TPC Detector Response Simulation and Track Reconstruction TPC Detector Response Simulation and Track Reconstruction Physics goals at the Linear Collider drive the detector performance goals: charged particle track reconstruction resolution: δ reconstruction efficiency:

More information

Data handling and processing at the LHC experiments

Data handling and processing at the LHC experiments 1 Data handling and processing at the LHC experiments Astronomy and Bio-informatic Farida Fassi CC-IN2P3/CNRS EPAM 2011, Taza, Morocco 2 The presentation will be LHC centric, which is very relevant for

More information

b-jet slice performances at L2/EF

b-jet slice performances at L2/EF 20 March 2007 Outline b-jet slice status b-tagging performance Status/Outlook b-jet slice The b-tagging selection is an element of flexibility in the ATLAS HLT framework: it might help to increase acceptance

More information

ATLAS DCS Overview SCADA Front-End I/O Applications

ATLAS DCS Overview SCADA Front-End I/O Applications Overview SCADA Front-End I/O Applications ATLAS TDAQ week, July 6th 2001, H.J.Burckhart 1 SCX1 USA15 Common Infrastructure PC Local Area Network Server Operation Local Control Stations (LCS) Expert Subdetector

More information

Tracking and flavour tagging selection in the ATLAS High Level Trigger

Tracking and flavour tagging selection in the ATLAS High Level Trigger Tracking and flavour tagging selection in the ATLAS High Level Trigger University of Pisa and INFN E-mail: milene.calvetti@cern.ch In high-energy physics experiments, track based selection in the online

More information

Evaluation of network performance for triggering using a large switch

Evaluation of network performance for triggering using a large switch Evaluation of network performance for triggering using a large switch R.W. Dobinson a, S. Haas a, b, R. Heeley a, N.A.H. Madsen a, c, B. Martin a, J.A. Strong a, c, D.A. Thornley a, d a CERN, Geneva, Switzerland,

More information

CMS Conference Report

CMS Conference Report Available on CMS information server CMS CR 2005/021 CMS Conference Report 29 Septemebr 2005 Track and Vertex Reconstruction with the CMS Detector at LHC S. Cucciarelli CERN, Geneva, Switzerland Abstract

More information

PoS(Baldin ISHEPP XXII)134

PoS(Baldin ISHEPP XXII)134 Implementation of the cellular automaton method for track reconstruction in the inner tracking system of MPD at NICA, G.A. Ososkov and A.I. Zinchenko Joint Institute of Nuclear Research, 141980 Dubna,

More information

Full Silicon Tracking Studies for CEPC

Full Silicon Tracking Studies for CEPC Full Silicon Tracking Studies for CEPC Weiming Yao (IHEP/LBNL) for Silicon Tracking Study Group CEPC-SppC Study Group Meeting, September 2-26, Beihang University http://cepc.ihep.ac.cn/ cepc/cepc twiki/index.php/pure

More information

arxiv:hep-ph/ v1 11 Mar 2002

arxiv:hep-ph/ v1 11 Mar 2002 High Level Tracker Triggers for CMS Danek Kotliński a Andrey Starodumov b,1 a Paul Scherrer Institut, CH-5232 Villigen, Switzerland arxiv:hep-ph/0203101v1 11 Mar 2002 b INFN Sezione di Pisa, Via Livornese

More information

Status of the ATLAS Central Trigger

Status of the ATLAS Central Trigger Status of the ATLAS Central Trigger Introduction Central Trigger Processor Local Trigger Processor Timing, Trigger & Control Conclusion (CTP) (LTP) (TTC) on behalf of CERN/ATLAS/Level-1 team: N. Ellis,

More information

LHC Detector Upgrades

LHC Detector Upgrades Su Dong SLAC Summer Institute Aug/2/2012 1 LHC is exceeding expectations in many ways Design lumi 1x10 34 Design pileup ~24 Rapid increase in luminosity Even more dramatic pileup challenge Z->µµ event

More information

Tracking and Vertex reconstruction at LHCb for Run II

Tracking and Vertex reconstruction at LHCb for Run II Tracking and Vertex reconstruction at LHCb for Run II Hang Yin Central China Normal University On behalf of LHCb Collaboration The fifth Annual Conference on Large Hadron Collider Physics, Shanghai, China

More information

Data Quality Monitoring at CMS with Machine Learning

Data Quality Monitoring at CMS with Machine Learning Data Quality Monitoring at CMS with Machine Learning July-August 2016 Author: Aytaj Aghabayli Supervisors: Jean-Roch Vlimant Maurizio Pierini CERN openlab Summer Student Report 2016 Abstract The Data Quality

More information

PoS(ACAT08)100. FROG: The Fast & Realistic OPENGL Event Displayer

PoS(ACAT08)100. FROG: The Fast & Realistic OPENGL Event Displayer FROG: The Fast & Realistic OPENGL Event Displayer Center for Particle Physics and Phenomenology (CP3) Université catholique de Louvain Chemin du cyclotron 2, B-1348-Louvain-la-Neuve - Belgium E-mail: loic.quertenmont@cern.ch

More information

3D-Triplet Tracking for LHC and Future High Rate Experiments

3D-Triplet Tracking for LHC and Future High Rate Experiments 3D-Triplet Tracking for LHC and Future High Rate Experiments André Schöning Physikalisches Institut, Universität Heidelberg Workshop on Intelligent Trackers WIT 2014 University of Pennsylvania May 14-16,

More information

The Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland

The Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland Available on CMS information server CMS CR -2008/100 The Compact Muon Solenoid Experiment Conference Report Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland 02 December 2008 (v2, 03 December 2008)

More information

The CLICdp Optimization Process

The CLICdp Optimization Process ILDOptWS, Feb, 2016 A. Sailer: The CLICdp Optimization Process 1/17 The CLICdp Optimization Process André Sailer (CERN-EP-LCD) On Behalf of the CLICdp Collaboration ILD Software and Optimisation Workshop

More information

V. Karimäki, T. Lampén, F.-P. Schilling, The HIP algorithm for Track Based Alignment and its Application to the CMS Pixel Detector, CMS Note

V. Karimäki, T. Lampén, F.-P. Schilling, The HIP algorithm for Track Based Alignment and its Application to the CMS Pixel Detector, CMS Note VI V. Karimäki, T. Lampén, F.-P. Schilling, The HIP algorithm for Track Based Alignment and its Application to the CMS Pixel Detector, CMS Note 26/18, CERN, Geneva, Switzerland, 1pp., Copyright (26) by

More information

PoS(TIPP2014)204. Tracking at High Level Trigger in CMS. Mia TOSI Universitá degli Studi di Padova e INFN (IT)

PoS(TIPP2014)204. Tracking at High Level Trigger in CMS. Mia TOSI Universitá degli Studi di Padova e INFN (IT) Universitá degli Studi di Padova e INFN (IT) E-mail: mia.tosi@gmail.com The trigger systems of the LHC detectors play a crucial role in determining the physics capabilities of the experiments. A reduction

More information

Gamma-ray Large Area Space Telescope. Work Breakdown Structure

Gamma-ray Large Area Space Telescope. Work Breakdown Structure Gamma-ray Large Area Space Telescope Work Breakdown Structure 4.1.D Science Analysis Software The Science Analysis Software comprises several components: (1) Prompt processing of instrument data through

More information

Results on Long Term Performances and Laboratory Tests on the L3 RPC system at LEP. Gianpaolo Carlino INFN Napoli

Results on Long Term Performances and Laboratory Tests on the L3 RPC system at LEP. Gianpaolo Carlino INFN Napoli Results on Long Term Performances and Laboratory Tests on the L3 RPC system at LEP Gianpaolo Carlino INFN Napoli Int. Workshop on Aging Phenomena in Gaseous Detectors October 2-5, 2001 Desy, Hamburg Outline

More information

Cut per region. Marc Verderi GEANT4 collaboration meeting 01/10/2002

Cut per region. Marc Verderi GEANT4 collaboration meeting 01/10/2002 Cut per region Marc Verderi GEANT4 collaboration meeting 01/10/2002 Introduction Cut here = «production threshold»; Not tracking cut; GEANT4 originally designed to allow a unique cut in range; Unique cut

More information

HepRep: a Generic Interface Definition for HEP Event Display Representables

HepRep: a Generic Interface Definition for HEP Event Display Representables SLAC-PUB-8332 HepRep: a Generic Interface Definition for HEP Event Display Representables J. Perl 1 1 SLAC, Stanford University, California Abstract HepRep, the Generic Interface Definition for HEP Event

More information

Autodesk Fusion 360: Model. Overview. Modeling techniques in Fusion 360

Autodesk Fusion 360: Model. Overview. Modeling techniques in Fusion 360 Overview Modeling techniques in Fusion 360 Modeling in Fusion 360 is quite a different experience from how you would model in conventional history-based CAD software. Some users have expressed that it

More information

TPC Detector Response Simulation and Track Reconstruction

TPC Detector Response Simulation and Track Reconstruction TPC Detector Response Simulation and Track Reconstruction Physics goals at the Linear Collider drive the detector performance goals: charged particle track reconstruction resolution: δ(1/p)= ~ 4 x 10-5

More information

Track reconstruction of real cosmic muon events with CMS tracker detector

Track reconstruction of real cosmic muon events with CMS tracker detector Track reconstruction of real cosmic muon events with CMS tracker detector Piergiulio Lenzi a, Chiara Genta a, Boris Mangano b a Università degli Studi di Firenze and Istituto Nazionale di Fisica Nucleare

More information

Deep Learning Photon Identification in a SuperGranular Calorimeter

Deep Learning Photon Identification in a SuperGranular Calorimeter Deep Learning Photon Identification in a SuperGranular Calorimeter Nikolaus Howe Maurizio Pierini Jean-Roch Vlimant @ Williams College @ CERN @ Caltech 1 Outline Introduction to the problem What is Machine

More information

Modelling of non-gaussian tails of multiple Coulomb scattering in track fitting with a Gaussian-sum filter

Modelling of non-gaussian tails of multiple Coulomb scattering in track fitting with a Gaussian-sum filter Modelling of non-gaussian tails of multiple Coulomb scattering in track fitting with a Gaussian-sum filter A. Strandlie and J. Wroldsen Gjøvik University College, Norway Outline Introduction A Gaussian-sum

More information

Analysis of Σ 0 baryon, or other particles, or detector outputs from the grid data at ALICE

Analysis of Σ 0 baryon, or other particles, or detector outputs from the grid data at ALICE Analysis of Σ 0 baryon, or other particles, or detector outputs from the grid data at ALICE Introduction Analysis Chain Current status of Σ 0 analysis Examples of root files from the data and MC Discussion

More information

ATLAS Tracking Detector Upgrade studies using the Fast Simulation Engine

ATLAS Tracking Detector Upgrade studies using the Fast Simulation Engine Journal of Physics: Conference Series PAPER OPEN ACCESS ATLAS Tracking Detector Upgrade studies using the Fast Simulation Engine To cite this article: Noemi Calace et al 2015 J. Phys.: Conf. Ser. 664 072005

More information

A new approach for ATLAS Athena job configuration

A new approach for ATLAS Athena job configuration A new approach for ATLAS Athena job configuration Walter Lampl 1, on behalf of the ATLAS Collaboration 1 University of Arizona, 1118 E 4th Street, Tucson AZ, 85721 ATL-SOFT-PROC-2018-049 01 December 2018

More information

Tracking and Vertexing performance in CMS

Tracking and Vertexing performance in CMS Vertex 2012, 16-21 September, Jeju, Korea Tracking and Vertexing performance in CMS Antonio Tropiano (Università and INFN, Firenze) on behalf of the CMS collaboration Outline Tracker description Track

More information

DD4hep Based Event Reconstruction

DD4hep Based Event Reconstruction CLICdp-Conf-2017-002 06 February 2017 DD4hep Based Event Reconstruction Andre Sailer, Markus Frank, Frank Gaede, Daniel Hynds, Shaojun Lu, Nikiforos Nikiforou, Marko Petric, Rosa Simoniello, Georgios Voutsinas

More information

Final Report of the ATLAS Detector Simulation Performance Assessment Group

Final Report of the ATLAS Detector Simulation Performance Assessment Group Final Report of the ATLAS Detector Simulation Performance Assessment Group J. Apostolakis, A. Buckley, A. Dotti, Z. Marshall March 31, 2010 CERN-LCGAPP-2010-01 Abstract In this document we discuss the

More information

Determination of the aperture of the LHCb VELO RF foil

Determination of the aperture of the LHCb VELO RF foil LHCb-PUB-214-12 April 1, 214 Determination of the aperture of the LHCb VELO RF foil M. Ferro-Luzzi 1, T. Latham 2, C. Wallace 2. 1 CERN, Geneva, Switzerland 2 University of Warwick, United Kingdom LHCb-PUB-214-12

More information

PoS(EPS-HEP2017)492. Performance and recent developments of the real-time track reconstruction and alignment of the LHCb detector.

PoS(EPS-HEP2017)492. Performance and recent developments of the real-time track reconstruction and alignment of the LHCb detector. Performance and recent developments of the real-time track reconstruction and alignment of the LHCb detector. CERN E-mail: agnieszka.dziurda@cern.ch he LHCb detector is a single-arm forward spectrometer

More information