April12 DST calibration status

Slides:



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

E/π identification and position resolution of high granularity single sided TRD prototype M. Târzilă, V. Aprodu, D. Bartoş, A. Bercuci, V. Cătănescu, F.
1 N. Davidson E/p single hadron energy scale check with minimum bias events Jet Note 8 Meeting 15 th May 2007.
The Time-of-Flight system of the PAMELA experiment: in-flight performances. Rita Carbone INFN and University of Napoli RICAP ’07, Rome,
STAR Collaboration Meeting, Nantes, July2002 SVT Analysis/Status Update Jun Takahashi – University of Sao Paulo.
Photon reconstruction and calorimeter software Mikhail Prokudin.
The Transverse detector is made of an array of 256 scintillating fibers coupled to Avalanche PhotoDiodes (APD). The small size of the fibers (5X5mm) results.
T.C. Jude D.I. Glazier, D.P. Watts The University of Edinburgh Strangeness Photoproduction At Threshold Energies.
Progress with the Development of Energy Flow Algorithms at Argonne José Repond for Steve Kuhlmann and Steve Magill Argonne National Laboratory Linear Collider.
Medium heavy Λ hyper nuclear spectroscopic experiment by the (e,e’K + ) reaction Graduate school of science, Tohoku University Toshiyuki Gogami for HES-HKS.
Tracking at LHCb Introduction: Tracking Performance at LHCb Kalman Filter Technique Speed Optimization Status & Plans.
Jin Huang M.I.T. Hall A Analysis Workshop Dec 14, JLab.
PANDA collaboration meeting2.-4. June 2004 simulation statusOverview New Framework  why  status  schedule Simulation subdetector  Forward spectrometer.
HADES coll. meeting, Oct. 31, 2007 Charged pion production in C+C at 1 and 2 A GeV results of data analysis from experiments NOV02 and AUG04 Jehad Mousa.
Charmonium feasibility study F. Guber, E. Karpechev, A.Kurepin, A. Maevskaia Institute for Nuclear Research RAS, Moscow CBM collaboration meeting 11 February.
Event Reconstruction in SiD02 with a Dual Readout Calorimeter Detector Geometry EM Calibration Cerenkov/Scintillator Correction Jet Reconstruction Performance.
Some investigations on Shower in Aug11 DST Szymon Harabasz Version: 15 November 2015.
Muon-raying the ATLAS Detector
Track extrapolation to TOF with Kalman filter F. Pierella for the TOF-Offline Group INFN & Bologna University PPR Meeting, January 2003.
CALICE Digital Hadron Calorimeter: Calibration and Response to Pions and Positrons International Workshop on Future Linear Colliders LCWS 2013 November.
Mitglied der Helmholtz-Gemeinschaft Calibration of the COSY-TOF STT & pp Elastic Analysis Sedigheh Jowzaee IKP Group Talk 11 July 2013.
PFA Template Concept Performance Mip Track and Interaction Point ID Cluster Pointing Algorithm Single Particle Tests of PFA Algorithms S. Magill ANL.
1 Pion production in np collisions at 1.25AGeV A.Kurilkin, P.Kurilkin, V.Ladygin, A.Ierusalimov, T.Vasiliev, LHEP-JINR, Dubna, Russia For the HADES collaboration.
Status of BESIII Event Reconstruction System Zepu Mao IHEP BESIII Annual Meeting 2005/05/29.
LM Feb SSD status and Plans for Year 5 Lilian Martin - SUBATECH STAR Collaboration Meeting BNL - February 2005.
1 A first look at the KEK tracker data with G4MICE Malcolm Ellis 2 nd December 2005.
Frank L. H. WolfsDepartment of Physics and Astronomy, University of Rochester Status of the TOF February 22, 2001 Straight-line tracking What have we learned?
Hadron production in C+C at 1 and 2 A GeV analysis of data from experiments NOV02 and AUG04 for high resolution tracking (Runge-Kutta tracks) Pavel Tlustý,
A Clustering Algorithm for LumiCal Halina Abramowicz, Ronen Ingbir, Sergey Kananov, Aharon Levy, Iftach Sadeh Tel Aviv University DESY Collaboration High.
FTPC status and results Summary of last data taken AuAu and dAu calibration : Data Quality Physic results with AuAu data –Spectra –Flow Physic results.
Particle Identification at BESIII Kanglin He April 23, 2007, Amsterdam.
05/04/06Predrag Krstonosic - Cambridge True particle flow and performance of recent particle flow algorithms.
Photon reconstruction and matching Prokudin Mikhail.
Track reconstruction in high density environment I.Belikov, P.Hristov, M.Ivanov, T.Kuhr, K.Safarik CERN, Geneva, Switzerland.
STAR Analysis Meeting, BNL – oct 2002 Alexandre A. P. Suaide Wayne State University Slide 1 EMC update Status of EMC analysis –Calibration –Transverse.
KalFitAlg: recent developments and tests WANG Dayong Jan.18,2006.
Estimate of META efficiency in NOV02 Aim: check of META efficiency implemented in digitizers in order to get proper efficiency correction of yields Needed:
A Highly Selective Dilepton Trigger System Based on Ring Recognition Alberica Toia II Physikalisches Institut Justus-Liebig-Universität Gießen, Germany.
Hadron production in C+C at 1 and 2 A GeV analysis of data from experiments NOV02 and AUG04 for high resolution tracking (Runge-Kutta tracks) Pavel Tlustý,
Feb. 3, 2007IFC meeting1 Beam test report Ph. Bruel on behalf of the beam test working group Gamma-ray Large Area Space Telescope.
3 May 2003, LHC2003 Symposium, FermiLab Tracking Performance in LHCb, Jeroen van Tilburg 1 Tracking performance in LHCb Tracking Performance Jeroen van.
Hadron production in C+C at 2 A GeV measured by the HADES spectrometer Nov02 gen3 analysis and results for spline tracks (shown in Dubna) changes - removing.
BESIII offline software group Status of BESIII Event Reconstruction System.
Rita Carbone, RICAP 11, Roma 3 26/05/2011 Stand-alone low energy measurements of light nuclei from PAMELA Time-of-Flight system. Rita Carbone INFN Napoli.
J.Pietraszko, HADES Coll. Meeting, GSI Nov ,  – electron multiplicity measured in HADES W. Koenig, Jerzy Pietraszko, T. Galatyuk, V. Pechenov,
HADRON 2009, FloridaAnar Rustamov, GSI Darmstadt, Germany 1 Inclusive meson production at 3.5 GeV pp collisions with the HADES spectrometer Anar Rustamov.
Tracking, Computing & other Stuff. Correlation of detector hits The track segments of inner and outer MDCs are matched on Cluster level The track segments.
Beam detectors in Au+Au run and future developments - Results of Aug 2012 Au+Au test – radiation damage - scCVD diamond detector with strip metalization.
Susanna Costanza - Pavia Group PANDA C.M., Stockholm – June 14, 2010
IPHC, Strasbourg / GSI, Darmstadt
Michele Faucci Giannelli
New TRD (&TOF) tracking algorithm
RPC – status / results Blanco On behalf of HADES RPC Group
Performance of the HADES-TOF RPC wall in a Au-Au beam
Tracking results from Au+Au test Beam
Commissioning of the ALICE HLT, TPC and PHOS systems
Tracking System at CERN 06 and 07 test beams
Reconstruction status
CMS Preshower: Startup procedures: Reconstruction & calibration
Simulation results for the upgraded RICH detector in the HADES experiment. Semen Lebedev1,3, Jürgen Friese2, Claudia Höhne1, Tobias Kunz2, Jochen Markert4.
Kevin Burkett Harvard University June 12, 2001
Measurements of Cosmic-Ray Lithium and Beryllium Isotopes
Individual Particle Reconstruction
Preparation of the CLAS12 First Experiment Status and Time-Line
Plans for checking hadronic energy
Argonne National Laboratory
Quarkonium production, offline monitoring, alignment & calibration
Steve Magill Steve Kuhlmann ANL/SLAC Motivation
BES III Software: Short-term Plan ( )
Presentation transcript:

April12 DST calibration status Jochen Markert

Jochen Markert, Goethe Universität Au+Au at 1.23 GeV/u (Apr12 ) AuAu 1.23 GeV/u Facts: 557 hours beam Au on Au target (1.2 - 1.5) x 106 ions per second 8 kHz trigger rate 200 Mbyte/s data rate 7.3 x 109 events 140 x 1012 Byte of data DST Generations: online : alignment and params online + old gen0 : without prefit gen1 : prefit procedure dp 1.25 GeV CC 2 GeV/u pNb 3.5 GeV pp 1.25 GeV CC 1 GeV/u Ar+KCl pp 3.5 GeV Jochen Markert, Goethe Universität

Strangeness K0s K- L f NN excess energy 0.44 GeV only! First measurement at such low beam energy see Talks of: Katharina Manuel L f 29.11.2012

RICH – MDC spatial correlations Leptons e- e+ RICH – MDC spatial correlations see Talks of: Patrick Szymon Jochen Markert, Goethe Universität

Global vertex reconstruction First reconstructed during candidate search (no fit of drift times used) Second reconstruction based on fitted inner MDC segments: filtering + LSM fit (including Tukey weights) Third reconstruction based on fully reconstructed particles (same as segments) Resolution along z ~1 mm (depending on multiplicity) GSI target lab: B. Kindler et al., NIMP 655, 2011 Jochen Markert, Goethe Universität

Jochen Markert, Goethe Universität START Jochen Markert, Goethe Universität

Start detector calibration and T0 determination for Apr 12 DST StartX and StartY calibrated, file-wise – data in Oracle T0 determination based on three fastest particles in RPC/TOF from hit level  ready, implemented (used in gen1) cases: 0. StartX 1. StartY 2. Start X and Y (mean) HStart2Hit::getCorrFlag() nucleus Improvement: old method (first Start Hit taken) vs new approach (T0 selected based on TOF/RPC hits)  method works correctly BUT: Works only if beam particles are separated in time more than 3 ns !! S. Spataro

Start detector analysis – problem with T0 Limitations of the method based on TOF/RPC and Start: Works only if beam particles are separated in time more than 3 ns !! Still wrongly determined T0. Event selection: At least 5 protons in RPC with time larger than 1.5 ns (10-4 events) Plots from P.Tlusty We will mark such cases in StartHitFinder (more than 1 hit within 3ns window) by adding an additional flag: 3 or -2 Ultimate method should be based on fully reconstructed tracks (G. Kornakov) Reconstructed T0 from all tracks in single event compared to Start detector Fit result based on 1/sqrt(N) contribution from tracking and constant contribution from START. σ(Start)=60ps nucleus To be implemented in HYDRA – high level analysis. S. Spataro

Jochen Markert, Goethe Universität MDC Jochen Markert, Goethe Universität

Summer'2012 business: Autumn'2012 business: Development and Implementation of New Ghost Rejection Method for the Cluster Finder Level 9 (class „hmdclookuptb“ in the Hydra2) Autumn'2012 business: New 36 „Butterfly“ cuts in 36 Θφ-regions using real geometry, corresponding magnetic field (0.72) • Global Time Offset correction for each MDC day by day • Time Offset correction wire by wire by special procedure Olga Pechenova

Number of the ghost inner segments vs. Multiplicity (Simulation) Nghost/Nall_segm = 55.4% Nghost/Nall_segm = 8.0% Nghost/Nall_segm = 2.7% Black cluster finder level 10 + old ghost removing (Level10) Green cluster finder level 9 + old ghost removing (Level10) Red cluster finder level 9 + new ghost removing (Level9) Olga Pechenova

Comparison of the cluster finder Level 9 (red) and Level 10 (black). Simulation Efficiency vs. multiplicity Efficiency vs. multiplicity Clusters Fitted segments Efficiency vs. momentum Efficiency vs. momentum Clusters Fitted segments Olga Pechenova

The number of leptons, pions and protons 23% 17% 19% 21% Gen1 New Cal1, New Butterfly, New Procedure in Tracking (Vladimir) Leptons Leptons 17% 3o% Olga Pechenova

To do : Olga: tuning track finder and segment fitter parameters for inner and outer segments (layer coefficients, constant of uncertainty...... ~ 30 parameters) after all last changes New Ghost Rejection for the 2nd track finder iteration Tuning track parameters for the 2nd track finder iteration CAL2 optimized versions (Claudia) Mdc dE/dx calibration (Jochen)

Jochen Markert, Goethe Universität RPC Jochen Markert, Goethe Universität

RPC performance The time resolution with the code as it is now in HYDRA is better than 88 ps** (88 ps is the resolution of pions with βγ=3, MIPS) The correction of the position-time dependence still not implemented. This correction improves resolution up to 72 ps for MIPs pions. Efficiency: Pions over 94,6% All particles over 97% Possible improvements with information from PCand Double hit recovery method Fine charge-time dependence correction (5-10 ps) Fine position-time dependence correction (5-20 ps) Resolution is not divided by 2 G.Kornakov

TOF

TOF Not fully calibrated in gen1 DSTs, work in progress. charged hits multiplicity serving as LVL1 trigger: velocity from vs charge*mom TOF energy loss vs charge*mom: TOF of selected of p-: TOF-START resolution 209 ps Not fully calibrated in gen1 DSTs, work in progress. P.Tlusty

SHOWER

Shower gain calibration Take charge distribution for one single pad: Take global charge distribution integrated over all pads: Calculate gain = max_global / max_pad Maximum pos. from fit: max_pad Maximum pos. from fit: max_global S.Harabaz

After (gain calculated) Before (gain = 1) After (gain calculated) Charge maximum position as a function of pad: S.Harabaz

RICH,WALL RICH: pedestals calibrated WALL: work on the charge calibration to be finished

Future Plans Take advantage of all improvements since dst gen1 and run gen2 short after collab meeting. Do not wait for further tracking improvements or improved parameters (DST production takes ~1 week) calibrate in parallel MDC dEdx, work on algorithms schedule dst gen3 for February 2013 start working for efficiency parameters for simulations (our simulation is not tuned at all at the moment)

Thanks !

Backup

Real data Apr12 Difference in Mass Distribution: Level 9 – Level 10 RPC Sector1 – black Sector2 – red Sector4 - green Sector5 – blue Sector6 - magenta ToF Real data Apr12 Olga Pechenova

Autumn'2012 business: Cut good tracks – 0.26% Olga Pechenova Global Time Offset correction for each MDC day by day Time Offset correction wire by wire by iterative procedure Now we have 3 tables MdcCalParRaw in Oracle: Due to new Cal1 number of leptons increases up to 27%, pions - up to 16% ! New 36 „Butterfly“ cuts (36 Θφ-regions) using real geometry, corresponding magnetic field (0.72) Cut good tracks – 0.26% Cut ghost tracks – 87.2% Number of fully reconstructed tracks (in β vs mom) ↑ by 1%, efficiency ↑ (especially in low momenta region) II. New Procedure in Tracking (Vladimir) Total: Improvements in number of tracks, chi2, number of wires/track, tracking efficiency, number of leptons (up to 51%), pions (up to 23%) ! Olga Pechenova

Finding of Target Segment of the Event Vertex Apply threshold to the distributions to filter Find Target segment by best projection of all wires simultaneously Smooth distributions to find maximum with best precision After vertex fit all 12 target segments well separated