Energy Flow Studies Steve Kuhlmann Argonne National Laboratory for Steve Magill, Brian Musgrave, Norman Graf, U.S. LC Calorimeter Group.

Slides:

Advertisements

Similar presentations

1 Individual Particle Reconstruction CHEP07, Victoria, September 6, 2007 Norman Graf (SLAC) Steve Magill (ANL)

Advertisements

CBM Calorimeter System CBM collaboration meeting, October 2008 I.Korolko(ITEP, Moscow)

LC Calorimeter Testbeam Requirements Sufficient data for Energy Flow algorithm development Provide data for calorimeter tracking algorithms  Help setting.

Electromagnetic Showers with the MST Algorithm Niels Meyer The University of Iowa Matthew Charles, Wolfgang Mader, Usha Mallik ILC Workshop, Snowmass August.

PFA-Enhanced Dual Readout Crystal Calorimetry Stephen Magill - ANL Hans Wenzel - FNAL Outline : Motivation Detector Parameters Use of a PFA in Dual Readout.

The performance of Strip-Fiber EM Calorimeter response uniformity, spatial resolution The 7th ACFA Workshop on Physics and Detector at Future Linear Collider.

P. Gay Energy flow session1 Analytic Energy Flow F. Chandez P. Gay S. Monteil CALICE Coll.

Testbeam Requirements for LC Calorimetry S. R. Magill for the Calorimetry Working Group Physics/Detector Goals for LC Calorimetry E-flow implications for.

1 N. Davidson E/p single hadron energy scale check with minimum bias events Jet Note 8 Meeting 15 th May 2007.

Using  0 mass constraint to improve particle flow ? Graham W. Wilson, Univ. of Kansas, July 27 th 2005 Study prompted by looking at event displays like.

 Track-First E-flow Algorithm  Analog vs. Digital Energy Resolution for Neutral Hadrons  Towards Track/Cal hit matching  Photon Finding  Plans E-flow.

 Performance Goals -> Motivation  Analog/Digital Comparisons  E-flow Algorithm Development  Readout R&D  Summary Optimization of the Hadron Calorimeter.

Calice UK Meeting / 10/11/2004 D.R. Ward1 David Ward University of Cambridge Simulation Reconstruction Preparations for test beam UK software work.

Individual Particle Reconstruction Norman Graf SLAC April 28, 2005.

LPC Jet/Met meeting 1/12/2006L. Perera1 Jet/Calorimeter Cluster Energy Corrections – Status Goal: To improve the individual jet energy determination based.

1 Benchmarking the SiD Tim Barklow SLAC Sep 27, 2005.

1 N. Davidson, E. Barberio E/p single hadron energy scale check with minimum bias event Hadronic Calibration Workshop 26 th -27 th April 2007.

PFA Development – Definitions and Preparation 0) Generate some events w/G4 in proper format 1)Check Sampling Fractions ECAL, HCAL separately How? Photons,

Energy Flow Studies Steve Kuhlmann Argonne National Laboratory for Steve Magill, U.S. LC Calorimeter Group.

Scintillator (semi)DHCAL? Vishnu Zutshi for. Introduction Can a scintillator (semi)digital calorimeter work? Cell sizes are necessarily 6-12 cm 2 Can.

SiD Cal R. Frey1 Some EGS Studies… Compare with Geant4  Questions of range/cutoff parameters EM Resolution understood? Moliere radius – readout gap relation.

1/9/2003 UTA-GEM Simulation Report Venkatesh Kaushik 1 Simulation Study of Digital Hadron Calorimeter Using GEM Venkatesh Kaushik* University of Texas.

Track Extrapolation/Shower Reconstruction in a Digital HCAL – ANL Approach Steve Magill ANL 1 st step - Track extrapolation thru Cal – substitute for Cal.

Progress with the Development of Energy Flow Algorithms at Argonne José Repond for Steve Kuhlmann and Steve Magill Argonne National Laboratory Linear Collider.

Development of Particle Flow Calorimetry José Repond Argonne National Laboratory DPF meeting, Providence, RI August 8 – 13, 2011.

The CALICE Si-W ECAL - physics prototype 2012/Apr/25 Tamaki Yoshioka (Kyushu University) Roman Poschl (LAL Orsay)

LHC Detectors 101 Vivek Sharma (with slides stolen from talks of several people ) 1 Good review article: ARNPS 2006, “General purpose detectors for large.

Non-prompt Track Reconstruction with Calorimeter Assisted Tracking Dmitry Onoprienko, Eckhard von Toerne Kansas State University, Bonn University Linear.

Summary of Simulation and Reconstruction Shaomin CHEN (Tsinghua University)  Framework and toolkit  Application in ILC detector design Jupiter/Satellites,

Event Reconstruction in SiD02 with a Dual Readout Calorimeter Detector Geometry EM Calibration Cerenkov/Scintillator Correction Jet Reconstruction Performance.

CALICE Digital Hadron Calorimeter: Calibration and Response to Pions and Positrons International Workshop on Future Linear Colliders LCWS 2013 November.

PFA Template Concept Performance Mip Track and Interaction Point ID Cluster Pointing Algorithm Single Particle Tests of PFA Algorithms S. Magill ANL.

Development of a Particle Flow Algorithms (PFA) at Argonne Presented by Lei Xia ANL - HEP.

Bangalore, India1 Performance of GLD Detector Bangalore March 9 th -13 th, 2006 T.Yoshioka (ICEPP) on behalf of the.

13 July 2005 ACFA8 Gamma Finding procedure for Realistic PFA T.Fujikawa(Tohoku Univ.), M-C. Chang(Tohoku Univ.), K.Fujii(KEK), A.Miyamoto(KEK), S.Yamashita(ICEPP),

1 D.Chakraborty – VLCW'06 – 2006/07/21 PFA reconstruction with directed tree clustering Dhiman Chakraborty for the NICADD/NIU software group Vancouver.

Particle-flow Algorithms in America Dhiman Chakraborty N. I. Center for Accelerator & Detector Development for the International Conference.

Particle Flow Review Particle Flow for the ILC (Jet) Energy Resolution Goal PFA Confusion Contribution Detector Optimization with PFAs Future Developments.

Ties Behnke: Event Reconstruction 1Arlington LC workshop, Jan 9-11, 2003 Event Reconstruction Event Reconstruction in the BRAHMS simulation framework:

1 Hadronic calorimeter simulation S.Itoh, T.Takeshita ( Shinshu Univ.) GLC calorimeter group Contents - Comparison between Scintillator and Gas - Digital.

Individual Particle Reconstruction The PFA Approach to Detector Development for the ILC Steve Magill (ANL) Norman Graf, Ron Cassell (SLAC)

Calice Meeting Argonne Muon identification with the hadron calorimeter Nicola D’Ascenzo.

7/13/2005The 8th ACFA Daegu, Korea 1 T.Yoshioka (ICEPP), M-C.Chang(Tohoku), K.Fujii (KEK), T.Fujikawa (Tohoku), A.Miyamoto (KEK), S.Yamashita.

12/20/2006ILC-Sousei Annual KEK1 Particle Flow Algorithm for Full Simulation Study ILC-Sousei Annual KEK Dec. 20 th -22 nd, 2006 Tamaki.

E + /e - ID with Prs Grigory Rybkn, INR/Troitsk Ivan Belyaev CERN & ITEP/Moscow.

H Y P A T I A HYbrid Pupil’s Analysis Tool for Interactions in Atlas

2005/07/12 (Tue)8th ACFA Full simulator study of muon detector and calorimeter 8th ACFA Workshop at Daegu, Korea 2005/07/12 (Tue) Hiroaki.

Study of Calorimeter performance using the LC full simulator The 8th ACFA Workshop Yoshihiro Yamaguchi (Tsukuba U.) M. -C. Chang (RCNS, Tohoku U.) K. Fujii.

DE/dx in ATLAS TILECAL Els Koffeman Atlas/Nikhef Sources: PDG DRDC (1995) report RD34 collaboration CERN-PPE

ECAL Interaction layer PFA Template Track/CalCluster Association Track extrapolation Mip finding Shower interaction point Shower cluster pointing Shower.

Intelligent Norman Graf, Steve Magill, Steve Kuhlmann, Ron Cassell, Tony Johnson, Jeremy McCormick SLAC & ANL CALOR ‘06 June 9, 2006 DesignDetector.

PFA Study with Jupiter Contents : 1. Introduction 2. GLD-PFA

Introduction to hands-on Exercise

Dual Readout Clustering and Jet Finding

CALICE scintillator HCAL

Track Extrapolation/Shower Reconstruction in a Digital HCAL

Individual Particle Reconstruction

EFA/DHCal development at NIU

Linear Collider Simulation Tools

Simulation study for Forward Calorimeter in LHC-ALICE experiment

Missing Energy and Tau-Lepton Reconstruction in ATLAS

Plans for checking hadronic energy

Argonne National Laboratory

Argonne National Laboratory

High Granularity Calorimeter Upgrade Studies

Detector Optimization using Particle Flow Algorithm

Status of CEPC HCAL Optimization Study in Simulation LIU Bing On behalf the CEPC Calorimeter working group.

Steve Magill Steve Kuhlmann ANL/SLAC Motivation

LC Calorimeter Testbeam Requirements

Sheraton Waikiki Hotel

Presentation transcript:

Energy Flow Studies Steve Kuhlmann Argonne National Laboratory for Steve Magill, Brian Musgrave, Norman Graf, U.S. LC Calorimeter Group

Introduction/Outline Detector is described in Dhiman’s (1st) talk (Si-W EM Cal, 5 mm X 5mm, R=127 cm, 17%/  E) Software is the same as Dhiman’s (2nd) talk Conversion to Geant4 soon Real Track Pattern Recognition Included Will Discuss: General Energy Flow Issues Track Depositions in EM Calorimeter and Simple Photon Finder

Physics Motivation I: Higgs Self-Coupling with no beam constraint Physics Motivation II: Electroweak symmetry breaking without an elementary Higgs (also no beam constraint) Question: Any More?

Question from Jeju and Calor2000: Will Hadronization or Jet Clustering Ruin Resolutions? No, at least if backgrounds are small

Particle Content of Hadronic Z Decays at  s = 91 GeV

Particle Energies in Hadronic Z Decays at  s = 91 GeV Charged, Mean E=2.85 Photons, Mean E=1.0 Neutrons/K0L, Mean E=4.35

Resolution components of Hadronic Z Decays at  s = 91 GeV Assuming Perfect Identification in this Detector Configuration Neutrons+Klong 2.9 GeV Photons 1.4 GeV Tracks 0.25 GeV Put together in Tesla TDR in Energy Flow algorithm

Effect of Neutrinos in Hadronic Z Decays

Tracking cannot be assumed to be perfect, forward tracking and “curlers” are issues Effect of ignoring charged particles below certain thresholds Tesla TDR, is fine if achieved

Track Reconstruction Efficient Down to Pt=0.5 GeV in Barrel Region

Single 10 GeV  -

Effect of possible Photon or Neutron/K0Long thresholds Sum of all energy except photons < 0.2 GeV Sum of all energy except neutrons/K0L < 0.5 GeV

Determining Charged Particle Depositions Energy deposited in last EM layer (within of track) Easy to recognize MIP Easy to recognize MIP Easy to determine 1 st layer of pion shower Easy to determine 1 st layer of pion shower Interactions Single 2 GeV  - Single 2 GeV Muon Tail OverflowsZeros

Determining Charged Particle Depositions Single 2 GeV  - Next step in “Track-seeded” Energy Flow is to remove all hits in each layer based on something like red histogram, then cluster photons and neutrons/K0L. Energy weighted

Hadronic Z Decay

Hadronic Z Decays at  s = 91 GeV Simple photon finder: Remove EM Clusters within 0.03 of Track, unless track was MIP in all 30 layers. Then remove if within 0.01.

Single 10 GeV  -

Separate photons from neutrons/K0L with 3-layer shower max energy > 30 MeV 2 GeV Electron 2 GeV  - ddd MeV

Hadronic Z Decays at  s = 91 GeV

Width=3 GeV, Goal is 1.4 GeV Hadronic Z Decays at  s = 91 GeV

Questions for the Future Other Physics Analyses that Need 30%/  E Jet Resolution? How much better is a large detector? Digital or Analog Hadron Calorimeter? Optimized segmentation for physics/costs?

Determining Charged Particle Depositions Single  - Next step in “Track-seeded” Energy Flow is to remove all hits in each layer based on something like red histogram, then cluster photons and neutrons/K0L. Energy weighted

Determining Charged Particle Depositions Interaction Layer 0 Abs(Delta-Theta) Interaction Layer 26 Abs(Delta-Theta) Interaction Layer 17 Abs(Delta-Theta) Interaction Layer 8 Abs(Delta-Theta)

Determining Charged Particle Depositions