Silicon Detector Design Study Tracking Analysis Program for the International Linear Collider Pelham Keahey Richard Partridge SULI 2008.

Slides:



Advertisements
Similar presentations
GEANT Simulation of RCS Vahe Mamyan Hall A Analysis Workshop December 10, 2003.
Advertisements

Impact parameter studies with early data from ATLAS
Proposal for a new design of LumiCal R. Ingbir, P. Ruzicka, V. Vrba October 07 Malá Skála.
Efforts to Improve the Reconstruction of Non-Prompt Tracks with the SiD Lori Stevens UCSC ILC Simulation Reconstruction Meeting May 15, 2007 Includes contributions.
1 Reconstruction of Non-Prompt Tracks Using a Standalone Barrel Tracking Algorithm.
TRACK DICTIONARY (UPDATE) RESOLUTION, EFFICIENCY AND L – R AMBIGUITY SOLUTION Claudio Chiri MEG meeting, 21 Jan 2004.
22/5/2011 Particle-ID and Tracking performance in CLIC_ILD1/27 CLIC_ILD particle identification and tracking performance J. Nardulli This talk in 2 parts:
Efficiency and Purity Studies Outside the VXD: Applying AxialBarrelTrackfinderZ and GarfieldTrackFinder By: Tyler Rice, Chris Meyer August 21, 2007.
Tracking Efficiency and Momentum Resolution Analysis Chris Meyer UCSC ILC Simulation Reconstruction Meeting March 13, 2007.
1 Adventures In Calorimeter Assisted Tracking Chris Meyer, Tyler Rice UC Santa Cruz October 16, 2007.
1 Benchmarking the SiD Tim Barklow SLAC Sep 27, 2005.
TB & Simulation results Jose E. Garcia & M. Vos. Introduction SCT Week – March 03 Jose E. Garcia TB & Simulation results Simulation results Inner detector.
Characterization MC Particles Missed by Axial-Barrel Reconstruction & Obtaining Perfect Efficiency Using Zpolebbar Event File By: Tyler Rice.
Tracking Simulation Studies at UC Santa Cruz Bruce Schumm UCSC/SCIPP LCWS07 DESY May 30-Jun Tracking Validation Studies Non-prompt tracks with SiD.
SIMULATION STUDIES AT SANTA CRUZ Bruce Schumm University of California at Santa Cruz ALCPG Workshop, Vancouver July 19-22, 2006 Special Recognition: Eric.
The LiC Detector Toy M. Valentan, M. Regler, R. Frühwirth Austrian Academy of Sciences Institute of High Energy Physics, Vienna InputSimulation ReconstructionOutput.
The Design of a Detector for the Electron Relativistic Heavy Ion Collider Anders Ingo Kirleis 1, William Foreman 1, Elke-Caroline Aschenauer 2, and Matthew.
1 Tracking Reconstruction Norman A. Graf SLAC July 19, 2006.
MdcPatRec Tracking Status Zhang Yao, Zhang Xueyao Shandong University.
Track Reconstruction: the trf & ftf toolkits Norman Graf (SLAC) ILD Software Meeting, DESY July 6, 2010.
SiD Tracking Simulation: Status and Plans Richard Partridge for the SiD Tracking Group Vancouver Linear Collider Workshop July 19-22, 2006.
Optimising Cuts for HLT George Talbot Supervisor: Stewart Martin-Haugh.
August, 7ILC1 Kudzanayi Munetsi-Mugomba supervised by Dr. Caroline Milstene Software Infrastructure for the Charged Particles Reconstruction at the International.
Tracking Simulation Richard Partridge Brown / SLAC November 15, 2008.
International Workshop on Linear Colliders, Geneve Muon reconstruction and identification in the ILD detector N. D’Ascenzo, V.Saveliev.
SiD Track Reconstruction Richard Partridge Brown / SLAC LCWS 2008.
The Santa Cruz Linear Collider Group Simulation Effort SiLC Workshop Prague, Czech Republic April 26, 2007 Bruce Schumm.
Ivan Smiljanić Vinča Institute of Nuclear Sciences, Belgrade, Serbia Energy resolution and scale requirements for luminosity measurement.
Updates on the P0D reconstruction
1 Th.Naumann, DESY Zeuthen, HERMES Tracking meeting, Tracking with the Silicon Detectors Th.Naumann H1 DESY Zeuthen A short collection of experiences.
What is in my contribution area Nick Sinev, University of Oregon.
Update on the Hall C Monte Carlo simulation for 12 GeV Mark Jones.
V.Petracek TU Prague, UNI Heidelberg GSI Detection of D +/- hadronic 3-body decays in the CBM experiment ● D +/- K  B. R. 
Simulations Report E. García, UIC. Run 1 Geometry Radiator (water) 1cm x 2cm x 2cm with optical properties Sensitive Volume (hit collector) acrylic (with.
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.
Track Reconstruction: the trf toolkit Norman Graf (SLAC) ILC-ACFA Meeting, Beijing February 6, 2007.
LCWS11 – Tracking Performance at CLIC_ILD/SiD Michael Hauschild - CERN, 27-Sep-2011, page 1 Tracking Performance in CLIC_ILD and CLIC_SiD e + e –  H +
07/24/07 Francisco Carrion OPTIMIZING THE TRACK DETECTOR Francisco Javier Carrión Ruiz Mentor: Hans Wenzel 07/08/09 SID CONCEPT FOR THE INTERNATIONAL LINEAR.
Study of Charged Hadrons in Au-Au Collisions at with the PHENIX Time Expansion Chamber Dmitri Kotchetkov for the PHENIX Collaboration Department of Physics,
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
Performance Study of Pair-monitor 2009/06/30 Yutaro Sato Tohoku Univ.
M. Ellis - MICE Collaboration Meeting - Wednesday 27th October Sci-Fi Tracker Performance Software Status –RF background simulation –Beam simulation.
BESIII offline software group Status of BESIII Event Reconstruction System.
Tracking: An Experimental Overview Richard Partridge Brown / SLAC Fermilab ALCPG Meeting.
Tracking software of the BESIII drift chamber Linghui WU For the BESIII MDC software group.
FP-CCD GLD VERTEX GROUP Presenting by Tadashi Nagamine Tohoku University ILC VTX Ringberg Castle, May 2006.
FPGA Helix Tracking Algorithm with STT Yutie Liang, Martin Galuska, Thomas Geßler, Wolfgang Kühn, Jens Sören Lange, David Münchow, Milan Wagner II. Physikalisches.
Mitglied der Helmholtz-Gemeinschaft Hit Reconstruction for the Luminosity Monitor March 3 rd 2009 | T. Randriamalala, J. Ritman and T. Stockmanns.
Track Reconstruction: the ftf and trf toolkits Norman Graf (SLAC) Common Software Working Meeting CERN, January 31, 2013.
FPGA Helix Tracking Algorithm with STT
EUDET beam telescope Geant 4 simulation of spatial resolution
F2F Tracking Meeting, Prague 12/12/2013
Measurement of track length and time-of-flight hypothesis
Upgrade Tracker Simulation Studies
Status of SiD Silicon Tracker and Tracking Performance
SiD tracking using VXD as a primary tracking device
Results of dN/dt Elastic
The LHC collider in Geneva
Electron tagging possibilities with current data
Outline Analysis of some real data taken with the GLAST minitower (cosmic rays only). Offline analysis software used. Full Monte Carlo simulation using.
Stereo hit in Hough Tracking
Momentum Corrections for E5 Data Set
Linear Collider Simulation Tools
Alignment of the PHENIX Silicon Vertex Tracker (VTX) in 2014
Fast Track Fitting in the SiD01 Detector
STAR Detector Event selection and triggers Corrections to data
RecoTracks Revisited.
DESY drift chambers efficiency and track reconstruction
USCMS Hans Wenzel and Nick Leioatts
Simulation study of effects induced by final granularity of detector in particle flow deduced from experimental data in relativistic heavy ion collisions.
Presentation transcript:

Silicon Detector Design Study Tracking Analysis Program for the International Linear Collider Pelham Keahey Richard Partridge SULI 2008

International Linear Collider (ILC) Graphic courtesy of ILC / form one visual communication

SiD Detector Concept Design Graphic courtesy of Norman Graf, SLAC/Sandbox Studio

Analysis Program Objectives Develop a program(s) to: Display and analyze pull distributions of five helix parameters Track purity and the fake track rate Track finding Efficiency

Helix Parameters ω - curvature of the track δ -distance of closest approach (dca) Ф0 -azimuthmal angle of the momentum at the dca tan λ -dz/ds, slope in the sz plane z0 -z position at the dca

Helix Parameter Calculations ω δ xc = x + R sin f yc = y - R cos f δ = R - (xc2 + yc2)1/2 Ф0 tan λ tan λ = pz / (px2 + py2)1/2 z0 z = z0 + s tanl

Pull Distributions Error is different per fitted helix (track) Tracks will go through different part of the detector Multiple scattering How many hits

Z0 Pull Distribution

Purity—FakeTrack Rate Purity is taking the hits used to create a track and determining how many of those hits are actually from the MCParticle’s path being fitted For the Z0 events the tracking program produced no fake tracks. Fake Tracks are defined as having a purity less than 0.5

(1-Purity) vs Hits

Efficiency Efficiency is calculated by taking the number of found tracks divided by the number of tracks that could have been found The simulation is currently setup to ignore certain particles Pt<1.1 GeV (particle that doesn’t enter the calorimeter) Also if z0 > 9 mm and a δ > 9 mm 7 hits minimum

Efficiency vs Theta

Efficiency vs Pt

Wire View One (Rho-z) event # 130

Wire View Two (xy) event # 130

Results Purity: Tracks can be expected to be pure around 96.4+-0.2% of the time, depending on event. In the Z0 we found no tracks below the 0.5 purity margin. Efficiency: During the same event 98.6±0.1% of the findable tracks were found.

Future Work As the detector evolves, different designs can be tested Different and more complicated events can be run

Acknowledgements Advisor: Richard Partridge life saving help: Cosmin Deaconu Everyone at SLAC DOE

References J. Alcaraz, Helicoidal tracks. L3 Internal Note 1666, February 18, 1995. Internation Linear Collider website. http://www.linearcollider.org/cms/