1 ZVTOP algorithm (based on part of March ’04 Vienna talk) Overview Vertex finding with ZVTOP More details on the algorithm OO development plans Dave Jackson.

Slides:



Advertisements
Similar presentations
ILC Software and Physics Workshop, Cambridge, 4 th April 2006Overview of the LCFI Vertex PackageSonja Hillert (Oxford)p. 0 Overview of the LCFI Vertex.
Advertisements

Vertex Detector Contribution to ILC Physics Analyses, 16 th November 2005Sonja Hillert (Oxford)p. 0 Vertex Detector Contribution to ILC Physics Analyses.
Sonja Hillert, University of Oxford Simulation Software Meeting ~ DESY 28 June 2005 p. 0 Tools for optimising and assessing the performance of the vertex.
Towards a C++ based ZVTOP Ben Jeffery (Oxford) LCFI Collaboration ZVTOP Introduction Motivation Progress Plans & Release Schedule.
LCUK Meeting, 26 th September 2006Sonja Hillert (Oxford)p. 0 LCFI Simulation and Physics Studies LCUK Meeting, Durham, 26 th September 2006 Sonja Hillert.
Computing EVO meeting, January 15 th 2013 Status of the Tracking Code Gianluigi Boca, Pavia University.
Lauri A. Wendland: Hadronic tau jet reconstruction with particle flow algorithm at CMS, cHarged08, Hadronic tau jet reconstruction with particle.
1 B-tagging meeting overview Li bo Shandong University.
Simulation Studies of a (DEPFET) Vertex Detector for SuperBelle Ariane Frey, Max-Planck-Institut für Physik München Contents: Software framework Simulation.
1 WP1: Physics Studies General Strategy P.2 The Document Structure P.3-6 LCFI Physics Meeting 25/11/04 LCFI Proposal Dave Jackson.
1 The Topologies For a B decay to a single cascade charm D B IP lB lB lD lD ZVTOP vertex found furthest from IP contains the cleanest set of true B,D tracks.
Mapping the VELO Detector By Abraham Jacob Supervisors: Tom Latham and Tim Gershon.
EF with simple multi-particle states Vishnu V. Zutshi NIU/NICADD.
Top Turns Ten March 2 nd, Measurement of the Top Quark Mass The Low Bias Template Method using Lepton + jets events Kevin Black, Meenakshi Narain.
Kevin Black Meenakshi Narain Boston University
1 LCWS talks I Sat 19 March Tracking and Vertexing session: 09:00-09:15 Sonja Hillert (University of Oxford) Heavy Flavour ID and Quark Charge Measurement.
Sonja Hillert, University of Oxford 2005 International Linear Collider Workshop, Stanford, 19 th March 2005 p. 0 Heavy flavour ID and quark charge measurement.
LCFI Collaboration Meeting, RAL, 6 th March 2007Sonja Hillert (Oxford)p. 0 WP 1 – Simulation and Physics Studies Overview of recent progress LCFI Collaboration.
1 Ghost Trackers If there’s something strange (or charm or bottom) in your neighbourhood… Dave Jackson Oxford University / RAL LCFI Collaboration 28 th.
1 Status of the ‘Oscillation Physics’ WG Recall of the organisation and activities of the group –Main subjects and general approach –Starting steps and.
Status of the OPERA experiment Yoshiaki Nonoyama Nagoya Univ.
EM shower reconstruction and located neutrino event analysis Ciro Pistillo (Bern LHEP) on behalf of the Swiss OPERA groups.
2007 International Linear Collider Workshop, DESY, 2 nd June 2007Sonja Hillert (Oxford) p. 0 The LCFIVertex package Sonja Hillert (Oxford) on behalf of.
LCWS 2004, ParisSonja Hillert, University of Oxfordp. 1 Flavour tagging performance analysis for vertex detectors LCWS 2004, Paris Sonja Hillert (Oxford)
Sonja Hillert, University of Oxford 2005 International Linear Collider Workshop, Stanford, 20 th March 2005 p. 0 Heavy flavour ID and quark charge measurement.
The LCFI Vertex Package Details and Testing Ben Jeffery Oxford University on behalf of the LCFI collaboration.
1 Realistic top Quark Reconstruction for Vertex Detector Optimisation Talini Pinto Jayawardena (RAL) Kristian Harder (RAL) LCFI Collaboration Meeting 23/09/08.
E. Devetak – CERN CLIC1 LCFI: vertexing and flavour-tagging Erik Devetak Oxford University CERN-CLIC Meeting 14/05/09 Vertexing Flavour Tagging Charge.
Performance of Track and Vertex Reconstruction and B-Tagging Studies with CMS in pp Collisions at sqrt(s)=7 TeV Boris Mangano University of California,
ECFA ILC workshop, Valencia, 9 th November 2006Sonja Hillert (Oxford)p. 0 Overview of the LCFI Vertex Package ILC workshop, Valencia, 6 – 10 November 2006.
Vertex 2008, Utö Island, Sweden, 30 th July 2008Sonja Hillertp. 0 The LCFIVertex package Sonja Hillert (University of Oxford) Vertex th International.
LCFI Package and Flavour 3TeV Tomáš Laštovička Institute of Physics AS CR CLIC WG3 Meeting 9/6/2010.
PFA Template Concept Performance Mip Track and Interaction Point ID Cluster Pointing Algorithm Single Particle Tests of PFA Algorithms S. Magill ANL.
Standalone FLES Package for Event Reconstruction and Selection in CBM DPG Mainz, 21 March 2012 I. Kisel 1,2, I. Kulakov 1, M. Zyzak 1 (for the CBM.
1 Vertex Finding in AliVertexerTracks E. Bruna (TO), E. Crescio (TO), A. Dainese (LNL), M. Masera (TO), F. Prino (TO)
T RACKING E FFICIENCY FOR & CALORIMETER S EED TRACKING FOR THE CLIC S I D Pooja Saxena, Ph.D. Student Center of Detector & Related Software Technology.
1 Top and Tau Measurements Tim Barklow (SLAC) Oct 02, 2009.
Vertex Detector Review, Fermilab, 25 th October 2007Sonja Hillert (Oxford) p. 0 LCFI Report to the ALCPG 2007 Vertex Detector Review Sonja Hillert (Oxford.
Study of hadron interactions in OPERA-like bricks Aim: background study of   h, hhh decays 4 th September 2012 H. Shibuya, H. Ishida, T. Matsuo, T. Fukuda,
ILC Software and Tools workshop LAL-Orsay, 3 rd May 2007Sonja Hillert (Oxford) p. 0 The LCFIVertex package Sonja Hillert (Oxford) on behalf of the LCFI.
Benchmarking Tracking & Vertexing Andrei Nomerotski (Oxford) SiD Tracking Meeting, 7 December 2007.
1 Semileptonic physics in FOCUS D  K  0 l form factor measurement –Motivation –Method and Signals D   l form factor measurement –Motivation –Signals.
Jet Tagging Studies at TeV LC Tomáš Laštovička, University of Oxford Linear Collider Physics/Detector Meeting 14/9/2009 CERN.
D 0 reconstruction: 15 AGeV – 25 AGeV – 35 AGeV M.Deveaux, C.Dritsa, F.Rami IPHC Strasbourg / GSI Darmstadt Outline Motivation Simulation Tools Results.
E. Devetak - IOP 081 Anomalous – from tools to physics Erik Devetak Oxford - RAL IOP 2008 Lancaster‏ Anomalous coupling (Motivation – Theory)
Development of the parallel TPC tracking Marian Ivanov CERN.
TILC08 workshop, Sendai 4 th March 2008Sonja Hillert (Oxford) p. 0 LCFI Vertex Package: Parameter Optimisation Sonja Hillert (Oxford) on behalf of the.
LCFI Oversight Committee Meeting, 12 th July 2006Sonja Hillert (Oxford)p. 0 WP 1 – Simulation and Physics Studies LCFI Oversight Committee Meeting, 12.
1 Studies of Heavy Flavour Jet Tagging with ZVTOP in JAS3 Overview Jet flavour tagging in JAS3 Cosθ dependence Primary vertex momentum Use of neutral energy.
Tomas Hreus, Pascal Vanlaer Overview: K0s correction stability tests Jet-pt correction closure test Study of Strangeness Production in Underlying Event.
Heavy stable-particle production in NC DIS with the ZEUS detector Takahiro Matsumoto, KEK For the ZEUS collaboration.
Sinéad Farrington University of Glasgow for the CDF Collaboration European Physical Society Aachen, 17 th -23 rd July 2003 B Lifetimes and Flavour Tagging.
P.F.Ermolov SVD-2 status and experimental program VHMP 16 April 2005 SVD-2 status and experimental program 1.SVD history 2.SVD-2 setup 3.Experiment characteristics.
LCFI Physics Studies Meeting, 18 th October 2005Sonja Hillertp. 0 Using event display for improving Q vtx reconstruction  event display might help to.
Aug _5071 Top stop by charm channel analysis using D0 runI data OUTLINE physics process of top to stop Monte Carlo simulation for signal data.
Taikan Suehara et al., CERN, 21 Oct page 1 Flavor tagging performance in multi-jet environments (a part of LCFIVertex study) Taikan Suehara.
Tau31 Tracking Efficiency at BaBar Ian Nugent UNIVERSITY OF VICTORIA Sept 2005 Outline Introduction  Decays Efficiency Charge Asymmetry Pt Dependence.
E. Devetak - SiD Meeting RAL 081 Anomalous – from tools to physics Erik Devetak Oxford - RAL SiD 04/2008 Abingdon‏ Anomalous coupling (Motivation.
NA62 Collaboration Meeting – Anacapri 1 September 2009 Massimiliano Fiorini CERN.
ILD Optimisation Meeting, 21 st May 2008Sonja Hillert (Oxford)p. 0 LCFIVertex: suggestions for input to DST files  Introduction  Minimal flavour tag.
Sonja Hillert, University of Oxford 2 nd ECFA LC workshop, Durham, 2 nd September 2004 p. 0 Recent results on vertex charge reconstruction Sonja Hillert.
David Lange Lawrence Livermore National Laboratory
PFA Study with Jupiter Contents : 1. Introduction 2. GLD-PFA
Erik Devetak Oxford University 18/09/2008
Using IP Chi-Square Probability
Tools for optimising and assessing the performance
Vertex and Kinematic fitting with Pandaroot
Status of the Offline Pattern Recognition Code Goa, March 12th 2013
2vtx tagged dijets mass resolution study
Contents First section: pion and proton misidentification probabilities as Loose or Tight Muons. Measurements using Jet-triggered data (from run).
Presentation transcript:

1 ZVTOP algorithm (based on part of March ’04 Vienna talk) Overview Vertex finding with ZVTOP More details on the algorithm OO development plans Dave Jackson LCFI Physics Meeting 19 th April 2005

2 Vertices formed from charged tracks in the decay chain of a b-quark flavour jet Interaction Point (IP) location and Gaussian ellipsoid error determined by beam and event tracks

3 For each track i a function f i ( r ) represents a Gaussian probability tube for the track trajectory σ XY σZσZ

4 Track FunctionsVertex Function The 3D functions have been integrated over Z and shown in 2D only here The ∑ is over the tracks ( i = 0 for IP) in the jet The jet above includes a B decay 1.5mm from the IP PrimaryB

5 1)Find all maxima for f i (r) f j (r) with i, j = 0…N and collect spatial points r ij for cases of good vertex fit, χ 2 i,j < X 0 2)Search in 3D for maxima in V(r) near each such r ij 3)If two such maxima fail ‘resolubility criterion’ they are merged together r1r1 r2r2 V(r) 4) Spatially resolved clusters of V(r) maxima form candidate vertices 5) Track to vertex association ambiguities are decided according to largest V(r) after χ 2 i < X 0 trimming 6) Vertex that includes the IP ellipsoid is called the Primary ZVTOP algorithm

6 TRACKS + IP SPATIAL POINTS (MERGED SUBSET) CANDIDATE VERTICES VERTICES 1) 2) 3,4) 5,6) xyz iteration resolubility 2-prong fits decide track-vertex ambiguities N+1 objects (for N tracks in jet) each associated with a list from: up to ½N(N+1) objects b-jet at SLD: on average ~4 ‘vertex’ objects at this stage where here: a vertex contains an arbitrary no. of tracks, ≥2 each track belongs to arbitrary no. of vertices, ≥0 (this is the tricky step in terms of object relations) Primary, secondary, tertiary…

7 All non-primary vertices found must be n-prong with n ≥ 2 For IP→B→D decay chain can have 1-prong B or D decay Can consider n-prong ZVTOP vertex as a Seed vertex A track not directly associated with the Primary or Seed vertex, but with small T, is likely to come from B decay chain

8 ZVKON3 OPTIONS+ TUNABLE PARAMETERS ZVTOP3 ‘TIDY’ CUTS SELECT ALGO ZVRES3 ‘CONVENTIONAL ZVTOP’ ZVKIN ‘GHOST TRACK’ ALGORITHM ZVTOPL3 TOPOLOGICAL VERTEX STRUCTURE ZVSIG3 CALCULATE V(r) ZVGST FIND GHOST TRACK MONTE CARLO TRUTH ZVTOP3 CODE STRUCTURE

9 Compare ‘ZVTOP’ with ‘Ghost Track Algorithm’ Number of Found Vertices ‘B Decay’ Invariant Mass GeV/c 2 ZVRES ZVKIN For SLD VXD3 MC

10 Summary ZVTOP designed to be an efficient, fast and user-friendly topological vertex finder, developed at SLD for hadronic jets. The Ghost Track algorithm designed for clean B decay chain reconstruction, aided by kinematic information For LCFI OO implementation of ZVTOP3 – it makes sense to use the SLD algorithm for ZVRES (the original ZVTOP), but possible applications for ZVKIN (b-tagging/dipole) should be initially studied at the ILC Monte Carlo level.