Status and Plans of the Belle-II Tracking Software Martin Heck

Slides:



Advertisements
Similar presentations
Proposal for a new design of LumiCal R. Ingbir, P. Ruzicka, V. Vrba October 07 Malá Skála.
Advertisements

Background effect to Vertex Detector and Impact parameter resolution T. Fujikawa(Tohoku Univ.) Feb LC Detector Meeting.
Simulation Studies of a (DEPFET) Vertex Detector for SuperBelle Ariane Frey, Max-Planck-Institut für Physik München Contents: Software framework Simulation.
Pattern Recognition in OPERA Tracking A.Chukanov, S.Dmitrievsky, Yu.Gornushkin OPERA collaboration meeting, Ankara, Turkey, 1-4 of April 2009 JINR, Dubna.
1 Forward Tracking Simulation Norman A. Graf ALCPG Cornell July 15, 2003.
Tracking Efficiency and Momentum Resolution Analysis Chris Meyer UCSC ILC Simulation Reconstruction Meeting March 13, 2007.
D. Peterson, discussion with CMS representatives, FermiLab, 12-July Charged Particle Reconstruction at Cornell Dan Peterson, Cornell University.
Tracker Reconstruction SoftwarePerformance Review, Oct 16, 2002 Summary of Core “Performance Review” for TkrRecon How do we know the Tracking is working?
Framework for track reconstruction and it’s implementation for the CMS tracker A.Khanov,T.Todorov,P.Vanlaer.
The LiC Detector Toy (LDT) Tracking detector optimization with fast simulation VERTEX 2011, Rust M. Valentan, R. Frühwirth, M. Regler, M. Mitaroff.
Pion test beam from KEK: momentum studies Data provided by Toho group: 2512 beam tracks D. Duchesneau April 27 th 2011 Track  x Track  y Base track positions.
Forward Tracking I – Ruminations by the Vienna ILDsoft Group R. Frühwirth, W. Mitaroff, M. Valentan ILD Software and Integration Workshop DESY Hamburg,
Tracking at LHCb Introduction: Tracking Performance at LHCb Kalman Filter Technique Speed Optimization Status & Plans.
Monte Carlo Comparison of RPCs and Liquid Scintillator R. Ray 5/14/04  RPCs with 1-dimensional readout (generated by RR) and liquid scintillator with.
D 0 Measurement in Cu+Cu Collisions at √s=200GeV at STAR using the Silicon Inner Tracker (SVT+SSD) Sarah LaPointe Wayne State University For the STAR Collaboration.
STAR Sti, main features V. Perevoztchikov Brookhaven National Laboratory,USA.
Impact parameter resolution study for ILC detector Tomoaki Fujikawa (Tohoku university) ACFA Workshop in Taipei Nov
Track extrapolation to TOF with Kalman filter F. Pierella for the TOF-Offline Group INFN & Bologna University PPR Meeting, January 2003.
Vienna Fast Simulation LDT Munich, Germany, 17 March 2008 M. Regler, M. Valentan Demonstration and optimization studies by the Vienna Fast Simulation Tool.
STAR Kalman Track Fit V. Perevoztchikov Brookhaven National Laboratory,USA.
Pattern Recognition in OPERA Tracking A.Chukanov, S.Dmitrievsky, Yu.Gornushkin OPERA collaboration meeting, Mizunami, Japan, of January 2009 JINR,
1 PID & FPD Software Gilvan Alves (Lafex/CBPF) Q4Q4 D S Q2Q2 Q2Q2 Q3Q3 Q3Q3 Q4Q4 S A 1Q A1SA1S A 2Q A 2S P 1Q P 2S P 1S P 2Q p p Z(m) A D1 Detector Roman.
LCWS 06 Bangalore, India, March Track fitting using weight matrix Nick Sinev, University of Oregon.
Momentum resolution study of LDC 6 th SiLC meeting, Torino, Dec M. Regler, M. Valentan Interplay of TPC and SET: influence on the momentum.
Tracking in High Density Environment
Status and Plans of Tracking Studies by the Vienna Team Winfried Mitaroff Belle II Computing Workshop Krakow, June 2010.
18 december 2002, NIKHEF Jamboree Tracking and Physics Studies, Jeroen van Tilburg 1 Tracking and Physics Studies in LHCb Jeroen van Tilburg NIKHEF Jaarvergadering.
V0 analytical selection Marian Ivanov, Alexander Kalweit.
8 April 2000Karel Safarik: Tracking in ALICE1 Tracking in ALICE  OUTLOOK: Requirements History Tracking methods Track finding Tracking efficiency Momentum.
Roberto Barbera (Alberto Pulvirenti) University of Catania and INFN ACAT 2003 – Tsukuba – Combined tracking in the ALICE detector.
HLT Kalman Filter Implementation of a Kalman Filter in the ALICE High Level Trigger. Thomas Vik, UiO.
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 +
A track fitting method for multiple scattering Peter Kvasnička, 5th SILC meeting, Prague 2007.
Status of Analysis Software Kanglin He For Analysis Software Group.
TeV muons: from data handling to new physics phenomena Vladimir Palichik JINR, Dubna NEC’2009 Varna, September 07-14, 2009.
TeV Muon Reconstruction Vladimir Palichik JINR, Dubna NEC’2007 Varna, September 10-17, 2007.
SiD Tracking in the LOI and Future Plans Richard Partridge SLAC ALCPG 2009.
3 May 2003, LHC2003 Symposium, FermiLab Tracking Performance in LHCb, Jeroen van Tilburg 1 Tracking performance in LHCb Tracking Performance Jeroen van.
BESIII offline software group Status of BESIII Event Reconstruction System.
Tracking software of the BESIII drift chamber Linghui WU For the BESIII MDC software group.
FCAL Krakow meeting, 6. May LumiCal concept including the tracker R. Ingbir, P.Růžička, V. Vrba.
Pattern recognition with the triplet method Fabrizio Cei INFN & University of Pisa MEG Meeting, Hakata October /10/20131 Fabrizio Cei.
FP-CCD GLD VERTEX GROUP Presenting by Tadashi Nagamine Tohoku University ILC VTX Ringberg Castle, May 2006.
June 4, 2009 STAR TPC review Estimation of TPC Aging Based on dE/dx Measurements Yuri Fisyak.
Munich framework/DAQ meeting, Feb 2011 Peter Kvasnicka, CU Prague: PXD digitization 1 CU Prague Tadeáš Bílka, Peter Kvasnička, Peter Kodyš, Jozef.
GenFit and RAVE in sPHENIX under Fun4All
TrackFixup (overview)
 Silicon Vertex Detector Upgrade for the Belle II Experiment
Some input to the discussion for the design requirements of the GridPixel Tracker and L1thack trigger. Here are some thoughts about possible detector layout.
F2F Tracking Meeting, Prague 12/12/2013
Status Report Fenfen An
SiD tracking using VXD as a primary tracking device
TOF CALIBRATION DATABASE
Studies for Phase-II Muon Detector (|η| = ) – Plans
Muon stopping target optimization
Reconstruction status
Track Finding.
Progress with MUON reconstruction
Tracking Pattern Recognition
Kevin Burkett Harvard University June 12, 2001
Measurements of Cosmic-Ray Lithium and Beryllium Isotopes
The LHC collider in Geneva
HPS Collaboration meeting, JLAB, Nov 16, 2016
The Silicon Track Trigger (STT) at DØ
Individual Particle Reconstruction
Silicon Tracking with GENFIT
Linear Collider Simulation Tools
Reddy Pratap Gandrajula (University of Iowa) on behalf of CMS
Linear Collider Simulation Tools
Presentation transcript:

Status and Plans of the Belle-II Tracking Software Martin Heck

Outline Process Overview Development Tools General Tracking Strategy High Momentum Tracking Low Momentum Tracking Ultra Low Momentum Tracks Misc Summary

Process Overview High Level Trigger Track Finding without PXD High BKG level in PXD Extrapolation to PXD to have strong data reduction → tracks, that aren't found ONLINE will have NO PXD information! Offline Precision Fitting Best Track Parameters (momentum, impact parameter,...) Z Vertex Resolution needs to be good ← Y(4S) gamma in Belle 2 is ~1.05, while it was 1.1 in Belle B meson spacial separation only 40% of the one in Belle

Development Tools [1]: Detector Simulation STATUS: CDC simulation is the most advance in basf2 PXD & SVD simulation have been used with the ILC framework, but portation to basf2 is under construction

Details on Silicon Simulation Peter Kodys

Prague status @end 09/2010 Implementation of SVD and PXD geometry in BASF2 (Christian Oswald, Peter Kodys): NEARLY FINISHED The implementation is usable Only some fine details of dead material are still missing (PXD electronics & SVD slanted region and electronics)

Prague status @end 09/2010 (cont’d) Development of PXD and SVD digitization modules for BASF2 (Peter Kvasnicka, Zbynek Drasal: IN PROGRESS “Do-nothing digitizer” finished (simulated tracker hits to normal tracker hits, unchanged)* Gaussian smearing digitizer in 7 days Full digitizer using Zbynek’s ILCsoft digitizer by the following B2GM (however, we depend on details of geometry and data model that are in development, and we also have to allow reasonable time for testing) ----------- * Similarly to the ILCsoft digitizer, the PXD digitizer will produce tracker hits from simulations. Production of digits is only done internally, and the final digiitzer will output digits as an option. The SVD digitizer natively produces digits.

Development Tools [2]: Background Simulation STATUS: No background simulation used for tracking studies so far PLAN: We should include most dominant backgrounds into the tracking studies before Christmas.

General Tracking Strategy Outside In / Inside Out Lower Background density in outer layers Use of external Tools philosophy GENFIT (Precision Fitting) – from the PANDA collaboration RAVE (Vertexing) – used in CMS

High Momentum (KEK + KIT) Y. Iwasaki, O. Brovchenko, M. Heck Find Track Segments in the outer part of the detector Create tracks by fitting in the “conformal plane”

cont. Further considerations Hough Algorithm much computing power, but can be easily adopted for GPU Using TrackSegments for Kalman Filter based approach → much Computing power needed, but can probably handle more background In Karlsruhe, we work from scratch At KEK Belle tracking is adapted

Low Momentum (Vienna) STATUS: First studies for silicon only tracking with ILC Software based simulation PLANS: Track Finding (Rudi Fruewirth): Based on Combinatorial Kalman Filter (CKF) Start with some seed and fit Add Hits in unused layers, that can belong to the same track Due to ambiguities more than one hit can be added, leading to different track branches, as well the no hit assumption can be used for a branch Remove track branches with bad total chi-square, too many missing hits, which are subsets of other candidates After having looked to all layers, the best candidate is chosen

cont. Precision Fitting Kalman Filter (Moritz Nadler) Simplified Mathlab based simulation As long as total matter is ~correct, 10% X uncertainties in each layer have little influence (Simulation uses 1mm Si/layer to have “strong” matter effects) Uncertainty on polar angle of momentum. Not yet tested at the really low momentum

Ultra Low Momentum (Krakow) Karol Adamczyk is trying to estimate Momentum from dE/dx

ctd. Possible cross check with classic tracking! Energy loss in Silicon Preliminary, somewhat buggy results are promising: In the Momentum (not transversal) Range of 70 to 80 MeV, there is most likely something to win with this method. Possible cross check with classic tracking! Comparable with Alice paper results

Misc Coordination of Database issues important to have everything (especially alignment constants) available for offline tracking. Data Model etc. must be defined, some requirements from the Tracking Side... Alignment is currently not a high priority, but there were some promising studies by Martin Ritter (MPI) with Millepede

Summary Development Tools for Tracking and External Package Use is well under way dE/dx based momentum estimation seems to be feasable → Silicon Detector Hits, that show high dE/dx should be saved even if there is no track, that matches! Classic Tracking development has begun, but without full detector and background simulation progress was mainly through case studies