05/09/07 CHEP2007 Stefano Spataro. Simulation and Event Reconstruction inside the PandaRoot Framework. Stefano Spataro. for the collaboration
|
|
|
- Brendan Taylor
- 5 years ago
- Views:
Transcription
1 for the collaboration
2 Overview Introduction on Panda Structure of the framework Event generation Detector implementation Reconstruction
3 The Panda experiment AntiProton Annihilations at Darmstadt Multi purpose detector at FAIR Physics program pp, pa collisions GeV/c (p momentum) Charmonium (cc) spectroscopy Open charm spectroscopy Search for gluonic excitations (hybrids - glueballs) Charmed hadrons in nuclei Single and double Hypernuclei Other options (Parton Distrib., EM Form Factor )
4 Software development in Panda In September 2006 Panda collaboration board Developing the code inside FairRoot project see D.Bertini talk h. 16:50 here PandaRoot Debian 3.1 Gentoo SUSE (9, 10.X) Fedora (2, 4, 5) Ubuntu SL (3, 4) Framework for simulation and analysis Based on ROOT (5.14) Virtual Monte-Carlo (VMC 2.0, G4 8.2) Working on many Linux distributions and with many compilers Gcc Gcc Gcc Gcc Gcc Gcc compiled and running on more than 10 Linux platforms
5 Cross-check between different distributions
6 PandaRoot framework High versatility Detector geometries, Magnetic field, Event Generation Transport Model Digitization Analysis UrQmd, EvtGen, DPM Geant3, Geant4, (Fluka) VirtualMC Reconstruction
7 Event generation Create physical events for realistic simulation Flat generators Uniform distributions Acceptance, Efficiency, EvtGen generator Handling of complex decay chains Resonances DPM generator Dual Parton Model (string fragmentation) background studies UrQmd interface Microscopic model for nuclear reactions pa collisions
8 Detector implementation: proposed geometry
9 Beam pipe Shashlyk EMC COILS (dipole) Muon Detector Target pipe TPC/STT Forward drift chambers EMC Fwd endcup) view from geometry manager Barrel drift chambers COILS (solenoid) DIRC (Cherenkov) Micro Vertex EMC (barrel/bkw endcup)
10 Detector implementation: magnetic field map [Tesla]
![mapping Stt Y [cm] STT µ - @ 1GeV/c σ](/docs-images/93/114142849/images/11-4.jpg "p ~ 1.")
11 Tracking: target spectrometer 3.6 GeV/c (10 evt) TPC TPC Conformal mapping Stt Y [cm] STT µ 1GeV/c σ p ~ 1.4% STT Hough Transformation Stt X [cm]
12 Tracking: forward spectrometer (θ<10 ) Six drift chamber planes Two before the magnetic field Two inside the magnetic field Two after the magnetic field At the moment: Pattern recognition: Principal Component Analysis Momentum reconstruction: Kick parametrization (4 chambers) σ(p) ~ 2% resolution Very fast algorithm (no fit) Good prefit value for RK/Kalman
13 Global Tracking How to have a high resolution tracking? How to merge different detectors? How to deal with field inhomogeneity? Global tracking Kalman Filter genfit Already working for TPC Track Follower GEANE see A.Fontana Poster session Use of the same geometry for simulation and track following!
14 EMC reconstruction 1GeV Barrel (PWO) Full digitization and cluster recognition (common code) 1GeV Forward (Shashlyk) Example: neutral channel in barrel pp h c η c + γ EvtGen (phase space) η c π +π +η π γ+ γ η γ+ γ M(h c ) = 3526 MeV/c 2 P z (p ) = 5609 MeV/c 7 photons in the final state
15 2γ Invariant Mass EMC Reconstruction π η pp h c η c + γ η c π +π +η π γ+ γ η γ+ γ π π η Invariant Mass M(η c ) 2.98 GeV/c 2 η c η c γ Invariant Mass M(h c ) 3.53 GeV/c 2 h c
16 Transport Models Comparison VirtualMC With exactly the same code Changing only one flag µ 1 GeV/c 1 GeV/c Geant 3 Geant 4 Geant 3 Geant 4
17 Geant3 Geant4 Comparison: 1GeV in EMC G4 9.0 EmStandard+EmExtra Fired crystals multiplicity lists/cuts tuning comparison with bench tests Deposited energy (MC) Reconstructed energy (clusters) G4 energy leakage Geant3 Geant4 3MeV threshold per pad Geant3 Geant4
18 EMC Next goal: PID Match tracks with PID detectors 3 PION EVENTS DIRC STT
19 Summary PandaRoot is now the framework for the Panda full simulation Features: Supported and maintained for many Linux/compiler versions Several event generators for different physics studies Virtual MonteCarlo -> comparison Geant3, Geant4 (Fluka) Implementations (after one year): Spectrometer geometry almost complete Full reconstruction for many detectors (EMC, STT, TPC, MVD) Global tracking: ongoing (Kalman + GEANE) To-do list: Complete global tracking Construct the Particle Identification information
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
EicRoot software framework
EicRoot software framework Alexander Kiselev EIC Software Meeting Jefferson Lab September,24 2015 Contents of the talk FairRoot software project EicRoot framework structure Typical EicRoot applications
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
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
Stefania 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
Event reconstruction in STAR
Chapter 4 Event reconstruction in STAR 4.1 Data aquisition and trigger The STAR data aquisition system (DAQ) [54] receives the input from multiple detectors at different readout rates. The typical recorded
PANDA EMC Trigger and Data Acquisition Algorithms Development
PANDA EMC Trigger and Data Acquisition Algorithms Development a,b, Dapeng Jin b, Andreas Kopp a, Wolfgang Kühn a, Jens Sören Lang a, Yutie Liang a, Ming Liu a, Zhen-an Liu b, David Münchow a, Björn Spruck
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.
Deeply Virtual Compton Scattering at Jefferson Lab
Deeply Virtual Compton Scattering at Jefferson Lab June 16-17, 2016 Frederic Georges (PhD student) PhD Supervisor: Carlos Muñoz Camacho Institut de Physique Nucléaire d Orsay CNRS-IN2P3 Université Paris-Sud,
GPU-based Online Tracking for the PANDA Experiment
GPU-based Online Tracking for the PANDA Experiment Andreas Herten on behalf of the PANDA collaboration Forschungszentrum Jülich, Wilhelm-Johnen-Straße, 52428 Jülich DOI: http://dx.doi.org/.324/desy-proc-24-5/
for 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
ALICE 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
Studies of the KS and KL lifetimes and
Studies of the KS and KL lifetimes and BR(K ) with KLOE ± ± + Simona S. Bocchetta* on behalf of the KLOE Collaboration KAON09 Tsukuba June 9th 2009 * INFN and University of Roma Tre Outline DA NE and KLOE
Fig. 1. PANDA experiment at the FAIR facility, Darmstadt. The detector comprises two spectrometers. The target spectrometer features tracking
Proc. 12th Int. Conf. Low Energy Antiproton Physics (LEAP2016) https://doi.org/10.7566/jpscp.18.011035 Data Acquisition and Online Event Selection for the PANDA Experiment Wolfgang Kühn 1, Sören Lange
Designing the Computing for the Future Experiments. Stefano Spataro
Designing the Computing for the Future Experiments Stefano Spataro ISTITUTO NAZIONALE DI FISICA NUCLEARE Sezione di Torino Tuesday, 15 th October, 2013 15 th October 2013 Stefano Spataro Designing the
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.
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,
Computing in High Energy and Nuclear Physics, March 2003, La Jolla, California
Simulation in ALICE Computing in High Energy and Nuclear Physics, 24-28 March 2003, La Jolla, California F. Carminati, A. Morsch on behalf of the ALICE Offline Project CERN, 1211 Geneva 23, Switzerland
OPERA: A First ντ Appearance Candidate
OPERA: A First ντ Appearance Candidate Björn Wonsak On behalf of the OPERA collaboration. 1 Overview The OPERA Experiment. ντ Candidate Background & Sensitivity Outlook & Conclusions 2/42 Overview The
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
Plans for ANDA online computing
Journal of Instrumentation OPEN ACCESS Plans for ANDA online computing To cite this article: J S Lange et al Related content - Reconstruction methods PANDA Focussing-Lightguide Disc DIRC E Cowie, K Föhl,
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
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
Disentangling P ANDA s time-based data stream
Disentangling P ANDA s time-based data stream M. Tiemens on behalf of the PANDA Collaboration KVI - Center For Advanced Radiation Technology, University of Groningen, Zernikelaan 25, 9747 AA Groningen,
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
MIP 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
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
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.
Performance 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
FastSim tutorial for beginners
FastSim tutorial for beginners Matteo Rama Laboratori Nazionali di Frascati 1st SuperB Collaboration meeting London, September 2011 Part I FastSim overview M. Rama - 1st SuperB Collaboration Meeting QMUL
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
Direct photon measurements in ALICE. Alexis Mas for the ALICE collaboration
Direct photon measurements in ALICE Alexis Mas for the ALICE collaboration 1 Outline I - Physics motivations for direct photon measurements II Direct photon measurements in ALICE i - Conversion method
π ± Charge Exchange Cross Section on Liquid Argon
π ± Charge Exchange Cross Section on Liquid Argon Kevin Nelson REU Program, College of William and Mary Mike Kordosky College of William and Mary, Physics Dept. August 5, 2016 Abstract The observation
LArTPC Reconstruction Challenges
LArTPC Reconstruction Challenges LArTPC = Liquid Argon Time Projection Chamber Sowjanya Gollapinni (UTK) NuEclipse Workshop August 20 22, 2017 University of Tennessee, Knoxville LArTPC program the big
Simulation 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
Status of the TORCH time-of-flight detector
Status of the TORCH time-of-flight detector Neville Harnew University of Oxford (On behalf of the TORCH collaboration : the Universities of Bath, Bristol and Oxford, CERN, and Photek) August 7-9, 2017
arxiv: v1 [physics.ins-det] 18 Jan 2011
![arxiv: v1 [physics.ins-det] 18 Jan 2011](/thumbs/83/87885231.jpg "arxiv: v1 [physics.ins-det] 18 Jan 2011")
arxiv:111.3491v1 [physics.ins-det] 18 Jan 11 Alice Alignment, Tracking and Physics Performance Results University of Padova and INFN E-mail: rossia@pd.infn.it for the ALICE Collaboration The ALICE detector
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
HEP Experiments: Fixed-Target and Collider
HEP Experiments: Fixed-Target and Collider Beam Beam Beam Target Inelastic collisions 107 109 1011 Signal events 102 10-2 High energy = high density + high rate CBM (FAIR/GSI) Magnet PID ALICE (CERN) TPC
Automated reconstruction of LAr events at Warwick. J.J. Back, G.J. Barker, S.B. Boyd, A.J. Bennieston, B. Morgan, YR
Automated reconstruction of LAr events at Warwick J.J. Back, G.J. Barker, S.B. Boyd, A.J. Bennieston, B. Morgan, YR Challenges Single electron, 2 GeV in LAr: Easy 'by-eye' in isolation Challenging for
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
Silvia Miglioranzi University College of London / Argonne National Laboratories. June 20, Abstract
Tagging secondary vertices produced by beauty decay and studies about the possibilities to detect charm in the forward region at the ZEUS experiment at HERA Silvia Miglioranzi University College of London
Fast simulation in ATLAS
Fast simulation in ATLAS A. Salzburger, CERN for the ATLAS collaboration 1 Simulation load & requirements typical MC campaign in ATLAS 2011 - O( 9) events
THE ATLAS INNER DETECTOR OPERATION, DATA QUALITY AND TRACKING PERFORMANCE.
Proceedings of the PIC 2012, Štrbské Pleso, Slovakia THE ATLAS INNER DETECTOR OPERATION, DATA QUALITY AND TRACKING PERFORMANCE. E.STANECKA, ON BEHALF OF THE ATLAS COLLABORATION Institute of Nuclear Physics
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
TORCH. A Cherenkov based Time of Flight detector. Maarten van Dijk On behalf of the TORCH collaboration
TORCH A Cherenkov based Time of Flight detector Maarten van Dijk On behalf of the TORCH collaboration (CERN, University of Oxford, University of Bristol) 1 TORCH - motivation The Timing Of internally Reflected
THE PANDA BARREL DIRC DETECTOR
DIRC2017, Schloss Rauischholzhausen Aug 8, 2017 THE PANDA BARREL DIRC DETECTOR Jochen Schwiening for the PANDA Cherenkov Group PANDA at FAIR Barrel DIRC Technical Design PID Performance Validation Outlook
Update 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
Real-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
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
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
Measurement of fragmentation cross-section of 400 MeV/u 12 C beam on thin targets
Measurement of fragmentation cross-section of 400 MeV/u 12 C beam on thin targets Candidate: Abdul Haneefa Kummali Supervisor : Dr. Vincenzo Monaco PhD School - Department of Physics XXVII cycle 14-February-2014
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
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
Charged Particle Tracking at Cornell: Gas Detectors and Event Reconstruction
Charged Particle Tracking at Cornell: Gas Detectors and Event Reconstruction Dan Peterson, Cornell University The Cornell group has constructed, operated and maintained the charged particle tracking detectors
Open charm measurements with new Vertex Detector at NA61/SHINE experiment at CERN SPS
Open charm measurements with new Vertex Detector at NA61/SHINE experiment at CERN SPS Anastasia Merzlaya Jagiellonian University 08.11.2018 Outline Introduction; Open charm measurements motivation; NA61/SHINE
THE PANDA BARREL DIRC DETECTOR
RICH2016, Bled, Slovenia Sept. 5, 2016 THE PANDA BARREL DIRC DETECTOR Jochen Schwiening for the PANDA Cherenkov Group PANDA at FAIR Barrel DIRC Technical Design PID Performance Validation Outlook The PANDA
Full Offline Reconstruction in Real Time with the LHCb Detector
Full Offline Reconstruction in Real Time with the LHCb Detector Agnieszka Dziurda 1,a on behalf of the LHCb Collaboration 1 CERN, Geneva, Switzerland Abstract. This document describes the novel, unique
Charged Particle Tracking at Cornell: Gas Detectors and Event Reconstruction
Charged Particle Tracking at Cornell: Gas Detectors and Event Reconstruction Dan Peterson, Cornell University The Cornell group has constructed, operated and maintained the charged particle tracking detectors
First results from the LHCb Vertex Locator
First results from the LHCb Vertex Locator Act 1: LHCb Intro. Act 2: Velo Design Dec. 2009 Act 3: Initial Performance Chris Parkes for LHCb VELO group Vienna Conference 2010 2 Introducing LHCb LHCb is
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
TORCH: A large-area detector for precision time-of-flight measurements at LHCb
TORCH: A large-area detector for precision time-of-flight measurements at LHCb Neville Harnew University of Oxford ON BEHALF OF THE LHCb RICH/TORCH COLLABORATION Outline The LHCb upgrade TORCH concept
A proximity focusing RICH with time-of-flight capabilities
A proximity focusing RICH with time-of-flight capabilities Peter Križan University of Ljubljana and J. Stefan Institute For the Belle Aerogel RICH R&D group 10th Topical Seminar on Innovative Particle
GEANT4 is used for simulating: RICH testbeam data, HCAL testbeam data. GAUSS Project: LHCb Simulation using GEANT4 with GAUDI.
Status of GEANT4 in LHCb S. Easo, RAL, 30-9-2002 The LHCbexperiment. GEANT4 is used for simulating: RICH testbeam data, HCAL testbeam data. GAUSS Project: LHCb Simulation using GEANT4 with GAUDI. Summary.
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 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
Simulation 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
Adding timing to the VELO
Summer student project report: Adding timing to the VELO supervisor: Mark Williams Biljana Mitreska Cern Summer Student Internship from June 12 to August 4, 2017 Acknowledgements I would like to thank
The Belle II Software From Detector Signals to Physics Results
The Belle II Software From Detector Signals to Physics Results LMU Munich INSTR17 2017-02-28 Belle II @ SuperKEKB B, charm, τ physics 40 higher luminosity than KEKB Aim: 50 times more data than Belle Significantly
SiPMs 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
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
b-jet identification at High Level Trigger in CMS
Journal of Physics: Conference Series PAPER OPEN ACCESS b-jet identification at High Level Trigger in CMS To cite this article: Eric Chabert 2015 J. Phys.: Conf. Ser. 608 012041 View the article online
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
Physics Analysis Software Framework for Belle II
Physics Analysis Software Framework for Belle II Marko Starič Belle Belle II collaboration Jožef Stefan Institute, Ljubljana CHEP 2015 M. Starič (IJS) Physics Analysis Software Okinawa, 13-17 April 2015
R3BRoot Framework. D. Kresan GSI, Darmstadt. First R3BRoot Development Workshop July 28 30, 2015 GSI, Darmstadt
GSI, Darmstadt First R3BRoot Development Workshop July 28 30, 2015 GSI, Darmstadt Outline Introduction to concept Relation to FairRoot Combined solution for R3B analysis Framework components - Analysis
Online Tracking Algorithms on GPUs for the. ANDA Experiment at. Journal of Physics: Conference Series. Related content.
Journal of Physics: Conference Series PAPER OPEN ACCESS Online Tracking Algorithms on GPUs for the P ANDA Experiment at FAIR To cite this article: L Bianchi et al 2015 J. Phys.: Conf. Ser. 664 082006 Related
Status 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
PXD 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
The 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
The LHCb Upgrade. LHCC open session 17 February Large Hadron Collider Physics (LHCP) Conference New York, 2-7 June 2014
The LHCb Upgrade LHCC open session 17 February 2010 Large Hadron Collider Physics (LHCP) Conference New York, 2-7 June 2014 Andreas Schopper on behalf of Motivation LHCb is a high precision experiment
CDF Detector Simulation Framework and Performance
Computing in High Energy and Nuclear Physics, 4-8 March 3, La Jolla, California CDF Detector Simulation Framework and Performance E. Gerchtein, M. Paulini Carnegie Mellon University, Pittsburgh, PA 1513,
Machine Learning approach to neutrino experiment track reconstruction. Robert Sulej Connecting The Dots / Intelligent Trackers March 2017
Machine Learning approach to neutrino experiment track reconstruction Robert Sulej Connecting The Dots / Intelligent Trackers 2017 9 March 2017 Aim of the talk Very briefly about physics itself A bit more
Calorimeter Object Status. A&S week, Feb M. Chefdeville, LAPP, Annecy
Calorimeter Object Status St A&S week, Feb. 1 2017 M. Chefdeville, LAPP, Annecy Outline Status of Pi0 calibration Calibration survey with electrons (E/p) Calorimeter performance with single photons from
The Progress of TOF on BESIII
The Progress of TOF on BESIII Yuekun Heng 1, Chong Wu 1, Zhijia Sun 1, Li Zhao 1,2, Cheng Li 2, Qi An 2, Shubin Liu 2, Jinjie Wu 2, Yuda Zhao 1,3, Fengmei Wang 1,4, Xiaojian Zhao 1, Feng Shi 1, Zhenghua
PROJECT REPORT. Prototype of an online track and event reconstruction scheme for
Prototype of an online track and event reconstruction scheme for the PANDA experiment at FAIR Bjorn Andersson Johan Nordstrom Project in Computational Science: Report January 2017 PROJECT REPORT Institutionen
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
First LHCb measurement with data from the LHC Run 2
IL NUOVO CIMENTO 40 C (2017) 35 DOI 10.1393/ncc/i2017-17035-4 Colloquia: IFAE 2016 First LHCb measurement with data from the LHC Run 2 L. Anderlini( 1 )ands. Amerio( 2 ) ( 1 ) INFN, Sezione di Firenze
CMS Alignement and Calibration workflows: lesson learned and future plans
Available online at www.sciencedirect.com Nuclear and Particle Physics Proceedings 273 275 (2016) 923 928 www.elsevier.com/locate/nppp CMS Alignement and Calibration workflows: lesson learned and future
Updated Barrel EMC Geometry
Updated Barrel EMC Geometry Guang Zhao (zhaog@ihep.ac.cn) Institute of High Energy Physics, CAS PANDA Collaboration Meeting 18/1 March 6 th, 2018 1 Outline pgeometry construction in ROOT pupdates and tests
The software library of the Belle II experiment
The software library of the Belle II experiment DorisYangsoo Kim * On behalf of the Belle II Software Group Department of Physics, Soongsil University, 369 Sangdo-ro Dongjak-gu, Seoul 156-743, South Korea
Analogue, 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
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](/thumbs/84/91007011.jpg "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
The LHCb upgrade. Outline: Present LHCb detector and trigger LHCb upgrade main drivers Overview of the sub-detector modifications Conclusions
The LHCb upgrade Burkhard Schmidt for the LHCb Collaboration Outline: Present LHCb detector and trigger LHCb upgrade main drivers Overview of the sub-detector modifications Conclusions OT IT coverage 1.9
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
Kinematic Fitting. Mark M. Ito. July 11, Jefferson Lab. Mark Ito (JLab) Kinematic Fitting July 11, / 25
Kinematic Fitting Mark M. Ito Jefferson Lab July 11, 2013 Mark Ito (JLab) Kinematic Fitting July 11, 2013 1 / 25 Introduction Motivation Particles measured independently Often: known relationships between
Topics for the TKR Software Review Tracy Usher, Leon Rochester
Topics for the TKR Software Review Tracy Usher, Leon Rochester Progress in reconstruction Reconstruction short-term plans Simulation Calibration issues Balloon-specific support Personnel and Schedule TKR
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:
Inside-out tracking at CDF
Nuclear Instruments and Methods in Physics Research A 538 (25) 249 254 www.elsevier.com/locate/nima Inside-out tracking at CDF Christopher Hays a,, Yimei Huang a, Ashutosh V. Kotwal a, Heather K. Gerberich
ComPWA: A common amplitude analysis framework for PANDA
Journal of Physics: Conference Series OPEN ACCESS ComPWA: A common amplitude analysis framework for PANDA To cite this article: M Michel et al 2014 J. Phys.: Conf. Ser. 513 022025 Related content - Partial
1 Introduction The challenges in tracking charged particles in the HERA-B experiment [5] arise mainly from the huge track density, the high cell occup
![1 Introduction The challenges in tracking charged particles in the HERA-B experiment [5] arise mainly from the huge track density, the high cell occup](/thumbs/73/69427562.jpg "1 Introduction The challenges in tracking charged particles in the HERA-B experiment [5] arise mainly from the huge track density, the high cell occup")
Hera-B 99{111 Software 99{16 ranger { a Pattern Recognition Algorithm for the HERA-B Main Tracking System Part V: Compatibility Analysis Rainer Mankel 1 Institut fur Physik, Humboldt Universitat zu Berlin
Performance of the MRPC based Time Of Flight detector of ALICE at LHC
Performance of the MRPC based Time Of Flight detector of ALICE at LHC (for the ALICE Collaboration) Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi", Rome, Italy Dipartimento di Fisica