Full Silicon Tracking Studies for CEPC
|
|
- Duane Aldous Davidson
- 5 years ago
- Views:
Transcription
1 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 cepc/cepc twiki/index.php/pure Silicon Detector /
2 Outline Introduction. Silicon tracker designs and their performances. Detector simulation and reconstruction. Comparing with CEPC V performance. Conclusion 2/
3 Introduction CEPC full silicon tracker has been implemented in Mokka (Chengdong). Based on CEPC V silicon elements, we replace TPC with additional SIT layers and FTD endcaps. The advantage is to recycle the ILD silicon tracking, which seems work out of box. The current design means to prove a principle. But, it would allow us to re-optimize the design and improve tracking. ILC SID vs CEPC: B=T.T, r max =.2.4m, Barrel strip single double sided. /
4 Full Silicon Tracker Concept We compared the tracking performance of several design options using a toy MC. CEPCSID geometry r (m) eta =. eta =. eta = 2. eta =. eta = X/X Material vs. eta for test layouts z = cm z = cm z = + cm z (m) Eta Figure: CEPC full silicon tracker with rad length up to 7% 4/
5 Excellent Resolutions The expected resolutions from toy simulation is better than ILC SID. pt resolution vs. pt for test layout d resolution vs. pt for test layout z resolution vs. pt for test layout pt sigma /pt [%] e e e+ 8 SID 8 CEPCSID 2 SID 2 CEPCSID d resolution [microns] SID 8 CEPCSID 2 SID 2 CEPCSID z resolution [microns] SID 8 CEPCSID 2 SID 2 CEPCSID GeV/c GeV/c GeV/c Figure: Resolutions for /pt, d, and z. /
6 Full Detector Simulation and Reconstruction Generated single muon in CEPC full silicon. Reconstructed using Marlin Silicon only. Modifying pattern recognition to use more silicon layers. R (mm) z (mm) (a) CEPC V(Default) R (mm) 2.. silicon only -2-2 z (mm) (b) CEPC full silicon Default Silicon 2 Nhit (c) Number of hits 6/
7 Tracking Efficiencies Requiring P T >. GeV and.8 < θ < Efficiency is bit lower in barrel and endcap overlap region for full silicon, which could be improved. Note the plots made after a quick bug fix in FTD geometry, but it requires more study. Eff. Default Fixed Eff. Default Fixed Eff. Default Fixed. Silicon Fixed. Silicon Fixed. Silicon Fixed Theta Phi Figure: Efficiencies vs pt, theta and phi 7/
8 Resolution The pt resolution seems comparable. d(/) Resolution -.9 Default Fixed Barrel.8 Silicon Fixed d(/) Resolution Default Fixed Endcap 2. Silicon Fixed Figure: resolution in Barrel and Endcap regions 8/
9 d Resolution d resolution is quite similar in barrel, bit worse in endcap. D Resolution(mm) - 9 Default Fixed Barrel 8 Silicon Fixed D Resolution(mm) Default Fixed Endcap 2 Silicon Fixed Figure: d resolution in Barrel and Endcap regions 9/
10 z Resolution z resolution is quite similar in barrel, bit worse in endcap. Z Resolution(mm) Default Fixed Barrel 6 Silicon Fixed Z Resolution(mm) 6 Default Fixed Endcap Silicon Fixed Figure: z resolution in Barrel and Endcap regions /
11 d, z, and Omega Pulls The pull width seems off at.8, which is sensitive to materia and resolution in simulation and reconstruction. Events 2 2 Constant.64e+4 ± 7.8e+ Mean ±.286 Sigma.826 ±.2 Events 2 2 Constant.8e+4 ± 6.87e+ Mean.64 ±. Sigma.864 ±.2 Events 2 2 Constant.62e+4 ± 7.8e+ Mean ±.294 Sigma.84 ± D_pull - - Z_pull - - Omega_pull Figure: Track parameter pull for d, z, and omega /
12 Phi and Theta Pulls The pull width also seems low, which needs to be understood. Events Constant 2.6e+4 ±.4e+2 Mean -.2 ±.9 Sigma.7 ± Phi_pull Events Constant.988e+4 ± 9.49e+ Mean.6928 ±.2289 Sigma.626 ± Theta_pull Figure: Track parameter pull for phi and theta 2/
13 Conclusion The concept of full silicon tracker has been implemented and seems working. Its single particle performance is comparable to CEPC V, meeting the physics requirements. There are rooms for improvement, especially for improving silicon clustering and fitting. Allow us to start reoptimizing its design and improving silicon tracking for CDR. /
New results from LDCPrime optimization studies
New results from LDCPrime optimization studies with the Vienna Fast Simulation Tool ( LiC Detector Toy ) The Vienna Fast Simulation Tool LDT Simple, but flexible and powerful tool Version 2.0 available
More informationSimulation and Detector Geometry
Simulation and Detector Geometry Chengdong FU (IHEP) 4 th CEPC Physics and Software Workshop 2018-6-27, Beijing 2018-6- Simulation and Detector Geometry 27 1 Outline Introduction Software for full simulation
More informationThe 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 informationILC Software Overview and recent developments
ILC Software Overview and recent developments Frank Gaede 134th ILC@DESY General Project Meeting DESY, May 27, 2016 Outline Introduction to ilcsoft core tools ILD simulation and reconstruction software
More informationTracking 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 informationPerformance of FPCCD vertex detector. T. Nagamine Tohoku University Feb 6, 2007 ACFA 9, IHEP,Beijin
Performance of FPCCD vertex detector T. Nagamine Tohoku University Feb 6, 27 ACFA 9, IHEP,Beijin Outline FPCCD and Vertex Detector Structure Impact Parameter Resolution Pair Background in Vertex Detector
More informationfor the DESY/ ECFA study detector
The TPC Tracker for the DESY/ ECFA study detector Ties Behnke DESY 1-May-1999 the TPC tracker requirements from physics a TPC at TESLA: can this work? results from simulation technical issues conclusion
More informationSimulation study for the EUDET pixel beam telescope
EUDET Simulation study for the EUDET pixel beam telescope using ILC software T. Klimkovich January, 7 Abstract A pixel beam telescope which is currently under development within the EUDET collaboration
More informationSimulation Study for EUDET Pixel Beam Telescope using ILC Software
Simulation Study for EUDET Pixel Beam Telescope using ILC Software Linear Collider Workshop, Hamburg, May/June 2007 Tatsiana Klimkovich DESY Tatsiana Klimkovich, Linear Collider Workshop, May/June 2007
More informationSiD Simulation & Reconstruction. Norman Graf (for the sim/reco team) LCWS 2010, Beijing March 28, 2010
SiD Simulation & Reconstruction Norman Graf (for the sim/reco team) LCWS 2010, Beijing March 28, 2010 The LOI Physics Benchmarks Process The Letter of Intent (LOI) process required a number of physics
More informationOptimisation 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 informationTrack 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 informationThe LiC Detector Toy program
The LiC Detector Toy program M Regler, W Mitaroff, M Valentan, R Frühwirth and R Höfler Austrian Academy of Sciences, Institute of High Energy Physics, A-1050 Vienna, Austria, EU E-mail: regler@hephy.oeaw.ac.at
More informationUpdate on Energy Resolution of
Update on Energy Resolution of the EMC Using µµγ Sample David Hopkins Royal Holloway, University of London EMC Reconstruction Workshop, December 5 th, 2004 Outline Study of photon energy resolution Compare
More informationLDC Tracking Package User's Manual
LDC Tracking Package User's Manual A.Raspereza, MPI Munich 5/09/2007 1.Introduction The ambitious physics program at the ILC sets stringent requirements on the detector. For the tracking system this means:
More informationSiD Tracking using VXD. Nick Sinev, University of Oregon
SiD Tracking using VXD Nick Sinev, University of Oregon Plan Motivation Track reconstruction algorithm Performance for single tracks Does it have any limits? With backgrounds To do Motivation Tracking
More informationPoS(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 informationEvent 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 informationEicRoot 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 informationFull Simulation of Belle & Belle II SVD Detector (within ILC Framework)
Full Simulation of Belle & Belle II SVD Detector (within ILC Framework) Z. Drásal Charles University in Prague ILC Software Framework Summary Mokka: Geant 4 based, full simulation tool using a realistic
More informationPerformance 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 informationTracking POG Update. Tracking POG Meeting March 17, 2009
Tracking POG Update Tracking POG Meeting March 17, 2009 Outline Recent accomplishments in Tracking POG - Reconstruction improvements for collisions - Analysis of CRAFT Data Upcoming Tasks Announcements
More informationATLAS 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 informationLCDG4 Status. Dhiman Chakraborty, Guilherme Lima, Jeremy McCormick, Vishnu Zutshi. LC Simulations Workshop Argonne, June 02 05, 2004
LCDG4 Status Dhiman Chakraborty, Guilherme Lima, Jeremy McCormick, Vishnu Zutshi LC Simulations Workshop Argonne, June 02 05, 2004 Outline Overview LCDG4 features XML geometry representation SIO contents
More informationTPC 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 informationTPC 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 informationA flexible approach to clusterfinding in generic calorimeters of the FLC detector
A flexible approach to clusterfinding in generic calorimeters of the FLC detector University of Cambridge, U.K. : simulation/reconstruction session Outline Tracker-like clustering algorithm: the basis.
More informationPXD Simulation and Optimisation Studies
PXD Simulation and Optimisation Studies Z. Drásal, A. Moll, K. Prothmann with special thanks to: C. Kiesling, A. Raspereza, Prague people Charles University Prague MPI Munich ILC Software Framework Summary
More informationSimulation 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 informationA Novel Strip Energy Splitting Algorithm for the Fine Granular Readout of a Scintillator Strip Electromagnetic Calorimeter
1 3 A Novel Strip Energy Splitting Algorithm for the Fine Granular Readout of a Scintillator Strip Electromagnetic Calorimeter 4 Katsushige Kotera a, Daniel Jeans b, Akiya Miyamoto c, and Tohru Takeshita
More informationEndcap Modules for the ATLAS SemiConductor Tracker
Endcap Modules for the ATLAS SemiConductor Tracker RD3, Firenze, September 29 th, 23 Richard Nisius (MPI Munich) nisius@mppmu.mpg.de (For the ATLAS-SCT Collaboration) The plan of this presentation Introduction
More informationFirst Operational Experience from the LHCb Silicon Tracker
First Operational Experience from the LHCb Silicon Tracker 7 th International Hiroshima Symposium on Development and Application of Semiconductor Tracking Devices The LHCb Silicon Tracker Installation
More informationUpdated 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 informationA Novel Strip Energy Splitting Algorithm for the Fine Granular Readout of a Scintillator Strip Electromagnetic Calorimeter
1 3 A Novel Strip Energy Splitting Algorithm for the Fine Granular Readout of a Scintillator Strip Electromagnetic Calorimeter 4 Katsushige Kotera a, Daniel Jeans b, Akiya Miyamoto c, and Tohru Takeshita
More informationDetector 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 informationMokka, Marlin and friends
Mokka, Marlin and friends Status of the ILD_LDC software framework Frank Gaede DESY TILC08, Sendai, Japan 3-6 march 2008 1 Outline introduction/overview Mokka simulation LCIO Marlin framework full reconstruction
More informationPerformance 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 informationDesign 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 informationTPC 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 informationSimulation of Beam-Beam Background at CLIC. André Sailer (CERN-PH-LCD, HU Berlin) LCWS2010: BDS+MDI Joint Session 29 March, 2010, Beijing
Simulation of Beam-Beam Background at CLIC André Sailer (CERN-PH-LCD, HU Berlin) LCWS2010: BDS+MDI Joint Session 29 March, 2010, Beijing 1 Content Beam-Beam Simulation with GuineaPig CLIC_ILD Detector
More informationAIDA-2020 Advanced European Infrastructures for Detectors at Accelerators. Presentation. ILD simulation model
AIDA-2020-SLIDE-2018-031 AIDA-2020 Advanced European Infrastructures for Detectors at Accelerators Presentation ILD simulation model Lu, S. (DESY) 01 June 2016 The AIDA-2020 Advanced European Infrastructures
More informationDD4hep 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 informationA 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 informationPhysics 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 informationStefania Beolè (Università di Torino e INFN) for the ALICE Collaboration. TIPP Chicago, June 9-14
ALICE SDD ITS performance with pp and Pb-Pb beams Stefania Beolè (Università di Torino e INFN) for the ALICE Collaboration - Chicago, June 9-14 Inner Tracking System (I) Six layers of silicon detectors
More informationReal-time Analysis with the ALICE High Level Trigger.
Real-time Analysis with the ALICE High Level Trigger C. Loizides 1,3, V.Lindenstruth 2, D.Röhrich 3, B.Skaali 4, T.Steinbeck 2, R. Stock 1, H. TilsnerK.Ullaland 3, A.Vestbø 3 and T.Vik 4 for the ALICE
More informationRecent developments in tracking and
Recent developments in tracking and impact on B-tagging Boris Mangano for Tracking POG group page 1 Outline B-tagging Enemies Recent developments in iterative tracking and impact on V0 reconstruction efficiency.
More informationStatus of PID. PID in in Release Muon Identification Influence of of G4-Bug on on PID. BABAR Collaboration Meeting, Oct 1st 2005
Status of PID PID in in Release 18 18 Run Run 3,, Run Run 5 Muon Identification Influence of of G4-Bug on on PID The PID-Group: David Aston (*), Bipul Bhuyan (*), Thorsten Brandt, Kevin Flood, Jonathan
More informationarxiv: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 informationDCH and SVT studies with FastSim. Matteo Rama Laboratori Nazionali di Frascati
DCH and SVT studies with FastSim Matteo Rama Laboratori Nazionali di Frascati 17 June 2009 Configurations I Start with the current configuration in FastSim (default config. in the following) DCH 10 SuperLayers
More information05/09/07 CHEP2007 Stefano Spataro. Simulation and Event Reconstruction inside the PandaRoot Framework. Stefano Spataro. for the collaboration
for the collaboration Overview Introduction on Panda Structure of the framework Event generation Detector implementation Reconstruction The Panda experiment AntiProton Annihilations at Darmstadt Multi
More informationMIP Reconstruction Techniques and Minimum Spanning Tree Clustering
SLAC-PUB-11359 July 25 MIP Reconstruction Techniques and Minimum Spanning Tree Clustering Wolfgang F. Mader The University of Iowa, 23 Van Allen Hall, 52242 Iowa City, IA The development of a tracking
More informationMuon 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 informationUsing only HyCal. Graph. Graph
Live charge weighted ep yield from all the 2GeV empty target runs Scattering angle from.7 to.9 deg, background dominated by upstream collimator (8%) Notice that here uncertainty from the live charge measurement
More informationFast 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 informationDijet A LL Dijet cross section 2006 Dijet A LL Preparation for Tai Sakuma MIT
Dijet A LL 2005 Dijet cross section 2006 Dijet A LL Preparation for 2008 Tai Sakuma MIT Motivation for dijet A LL is to constrain ΔG G with initial event kinematics The initial state variables can be written
More informationALICE tracking system
ALICE tracking system Marian Ivanov, GSI Darmstadt, on behalf of the ALICE Collaboration Third International Workshop for Future Challenges in Tracking and Trigger Concepts 1 Outlook Detector description
More informationPreparation of ilcsoft v
Preparation of ilcsoft v01-17-07 F. Gaede DESY/CERN ILD Software and Analysis Meeting May 27, 2015 F. Gaede ( DESY/CERN ) Preparation of ilcsoft v01-17-07 ILD SW & Ana 27.05.15 1 / 17 Outline 1 Introduction
More informationPhysics 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 informationTPC digitization and track reconstruction: efficiency dependence on noise
TPC digitization and track reconstruction: efficiency dependence on noise Daniel Peterson, Cornell University, DESY, May-2007 A study of track reconstruction efficiency in a TPC using simulation of the
More informationA Topologic Approach to Particle Flow PandoraPFA
A Topologic Approach to Particle Flow PandoraPFA Mark Thomson University of Cambridge This Talk: Philosophy The Algorithm Some First Results Conclusions/Outlook LCWS06 Bangalore 13/3/06 Mark Thomson 1
More informationOverview 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 informationAlignment 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 informationThe Silicon Tracking System: Mechanical Integration and Alignement
EUDET The Silicon Tracking System: Mechanical Integration and Alignement SiLC Collaboration 12.12.2009 Abstract A brief review of the impact of some of the SiTRA-JRA2 related activities within the EUDET
More informationA Topologic Approach to Particle Flow PandoraPFA
A Topologic Approach to Particle Flow PandoraPFA Mark Thomson University of Cambridge This Talk: Philosophy The Algorithm Some New Results Confusion Conclusions Outlook Cambridge 5/4/06 Mark Thomson 1
More informationTracker algorithm based on Hough transformation
Tracker algorithm based on Hough transformation Nick Sinev, University of Oregon Santa Cruz Linear Collider Retreat, June 29, 2002 Why to bother? Don t we have good working tracking code? Yes, we do. Current
More informationSimulation and data reconstruction framework slic & lcsim. Norman Graf, Jeremy McCormick SLAC HPS Collaboration Meeting May 27, 2011
Simulation and data reconstruction framework slic & lcsim Norman Graf, Jeremy McCormick SLAC HPS Collaboration Meeting May 27, 2011 Simulation Mission Statement Provide full simulation capabilities for
More informationAnalogue, Digital and Semi-Digital Energy Reconstruction in the CALICE AHCAL
Analogue, Digital and Semi-Digital Energy Reconstruction in the AHCAL Deutsches Elektronen Synchrotron (DESY), Hamburg, Germany E-mail: coralie.neubueser@desy.de Within the collaboration different calorimeter
More informationSLAC PUB 8389 Mar 2000 TRACKING IN FULL MONTE CARLO DETECTOR SIMULATIONS OF 500 GeV e + e COLLISIONS a M.T. RONAN Lawrence Berkeley National Laborator
SLAC PUB 8389 Mar 2000 TRACKING IN FULL MONTE CARLO DETECTOR SIMULATIONS OF 500 GeV e + e COLLISIONS a M.T. RONAN Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA and Stanford
More informationTracking 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 informationThe CBM sensor digitizer
The CBM sensor digitizer C.Dritsa IKF-Frankfurt, IPHC-Strasbourg (now at JLU Giessen) C.Dritsa, St.Odile, 08 September 2011 1 Outline Motivation Model requirements Description of the model Important definitions
More informationElectron 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 informationMonte 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 informationSiD VXD Conceptual Design Su Dong SLAC
SiD VXD Conceptual Design Su Dong SLAC Aug/23/05 Su Dong Snowmass 05 VTX WG: SiD VXD conceptual Design 1 Common Design Features Like other detector concepts, SiD VXD design is open to all sensor technology
More informationTrack 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 informationPoS(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 informationAlignment of the CMS silicon tracker using Millepede II
Journal of Physics: Conference Series Alignment of the CMS silicon tracker using Millepede II To cite this article: Peter Schleper et al 2008 J. Phys.: Conf. Ser. 119 032040 Related content - CMS silicon
More informationIntroduction. Bill Cooper LDC Meeting May 25,
The Vertex Detector in the SiD Concept Bill Cooper Fermilab (Layer 1) (Layer 5) VXD Introduction SiD is a closely integrated detector. Designs of the outer tracker and the vertex detector have been developed
More informationThe CMS Tracker Laser Alignment System
The CMS Tracker Laser Alignment System B.Wittmer, I. Physikalishes Institut RWTH Aachen on behalf of the CMS Tracker collaboration Vertex 9 Workshop, Putten (NL) 1 Outline Working Principle and Layout
More informationUpdate 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 informationDefining Your Detector. Tony Johnson/Jeremy McCormick/Norman Graf SLAC
Defining Your Detector Tony Johnson/Jeremy McCormick/Norman Graf SLAC Geant4 Detector Response Simulation Defining detectors at runtime using a single, common executable should enable many detector variants
More informationThe GLAST Event Reconstruction: What s in it for DC-1?
The GLAST Event Reconstruction: What s in it for DC-1? Digitization Algorithms Calorimeter Reconstruction Tracker Reconstruction ACD Reconstruction Plans GLAST Ground Software Workshop Tuesday, July 15,
More informationMOKKA. Database. So#ware
MOKKA So#ware Database I. General presentation of Mokka software and database architecture, overview relationships between software and database II. Modifying detector geometry using steering commands
More informationILC Framework for Belle II
ILC Framework for Belle II Kolja Prothmann, Christian Kiesling, Andreas Moll, Frank Simon Max-Planck-Institut für Physik Zbynek Drasal Charles University Prague Outline Experiments using ILC software Overview
More informationPoS(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 informationBeam 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 informationHPS Data Analysis Group Summary. Matt Graham HPS Collaboration Meeting June 6, 2013
HPS Data Analysis Group Summary Matt Graham HPS Collaboration Meeting June 6, 2013 Data Analysis 101 define what you want to measure get data to disk (by magic or whatever) select subset of data to optimize
More informationCharged Particle Reconstruction in HIC Detectors
Charged Particle Reconstruction in HIC Detectors Ralf-Arno Tripolt, Qiyan Li [http://de.wikipedia.org/wiki/marienburg_(mosel)] H-QM Lecture Week on Introduction to Heavy Ion Physics Kloster Marienburg/Mosel,
More informationUpdate 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 informationDD4hep-Based Reconstruction. N. Nikiforou, CERN/PH-LCD On behalf of the CLICdp Collaboration and the Linear Collider DD4hep WG
DD4hep-Based Reconstruction N. Nikiforou, CERN/PH-LCD On behalf of the CLICdp Collaboration and the Linear Collider DD4hep WG 1 Introduction: chain currently in use LCIO Persistency Framework Generator
More informationAlignment 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 informationDD4hep Based Event Reconstruction
DD4hep Based Event Reconstruction Markus Frank, Frank Gaede, Daniel Hynds, Shaojun Lu, Nikiforos Nikiforou, Marko Petric, André Sailer, Rosa Simoniello, Georgios Voutsinas CERN, DESY, Hamburg On behalf
More informationForward Time-of-Flight Detector Efficiency for CLAS12
Forward Time-of-Flight Detector Efficiency for CLAS12 D.S. Carman, Jefferson Laboratory ftof eff.tex May 29, 2014 Abstract This document details an absolute hit efficiency study of the FTOF panel-1a and
More informationATLAS Dr. C. Lacasta, Dr. C. Marinas
ATLAS Dr. C. Lacasta, Dr. C. Marinas cmarinas@uni-bonn.de 1 http://www.atlas.ch/multimedia/# Why? In particle physics, the processes occur on a scale that is either too brief or too small to be observed
More informationSpring 2010 Research Report Judson Benton Locke. High-Statistics Geant4 Simulations
Florida Institute of Technology High Energy Physics Research Group Advisors: Marcus Hohlmann, Ph.D. Kondo Gnanvo, Ph.D. Note: During September 2010, it was found that the simulation data presented here
More informationGEANT4 Simulation of MOLLER Experiment
GEANT4 Simulation of MOLLER Experiment Mark Dalton UVa (for Dustin McNulty, Luis Mercado and the MOLLER Collaboration) Outline Introduction to the MOLLER experiment Simulation Overview Spectrometer Design
More informationSiPMs for Čerenkov imaging
SiPMs for Čerenkov imaging Peter Križan University of Ljubljana and J. Stefan Institute Trends in Photon Detectors in Particle Physics and Calorimetry, Trieste, June 2-4, 2008 Contents Photon detectors
More informationAlignment of the Inner Detector using misaligned CSC data
Alignment of the Inner Detector using misaligned CSC data J. Alison 1, A. Bocci 2, O. Brandt, P. Bruckman de Renstrom, B. Cooper 4, M. Elsing 5, C. Escobar 6, D. Froidevaux 5,. Golling 8, S. González-Sevilla
More informationThe Compact Muon Solenoid Experiment. CMS Note. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland
Available on CMS information server CMS NOTE 998/4 The Compact Muon Solenoid Experiment CMS Note Mailing address: CMS CERN, CH-2 GENEVA 23, Switzerland 29 July 998 Muon DTBX Chamber Trigger Simulation
More informationSoLID GEM Detectors in US
SoLID GEM Detectors in US Kondo Gnanvo University of Virginia SoLID Collaboration Meeting @ JLab, 08/26/2016 Outline Design Optimization U-V strips readout design Large GEMs for PRad in Hall B Requirements
More information