C. Oppedisano, 9 October 2007, ALICE Offline Week 1 RECONSTRUCTION ALGORITHM CALIBRATION OBJECT ESD STRUCTURE ONGOING TASKS.

Slides:



Advertisements
Similar presentations
Ultra Peripheral Collisions at RHIC Coherent Coupling Coherent Coupling to both nuclei: photon~Z 2, Pomeron~A 4/3 Small transverse momentum p t ~ 2h 
Advertisements

An Online Calorimeter Trigger for Removing Outsiders from Particle Beam CalibrationTests Denis O. Damazio José Manoel de Seixas Signal Processing Lab –
1 Analysis code for KEK Test-Beam M. Ellis Daresbury Tracker Meeting 30 th August 2005.
1 Hadronic In-Situ Calibration of the ATLAS Detector N. Davidson The University of Melbourne.
High Level Trigger of Muon Spectrometer Indranil Das Saha Institute of Nuclear Physics.
The Time-of-Flight system of the PAMELA experiment: in-flight performances. Rita Carbone INFN and University of Napoli RICAP ’07, Rome,
Chiara Zampolli in collaboration with C. Cheshkov, A. Dainese ALICE Offline Week Feb 2009C. Zampolli 1.
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.
SSD Status P. Christakoglou (NIKHEF-UU) for the SSD collaboration Thanks to: Marco vL, Enrico, Mino, Marek and Massimo.
Roberto GemmeIII Convegno Nazionale sulla Fisica di ALICE Frascati, 12-14/11/2007 Reaction plane determination with the neutron Zero Degree Calorimeters.
PHOS calibration in CDB framework M.Bogolyubsky, Y.Kharlov B.Polichtchouk, S.Sadovsky IHEP, Protvino ALICE off-line week 3 October 2005.
TOF Meeting, 9 December 2009, CERN Chiara Zampolli for the ALICE-TOF.
PHOS offline status report Yuri Kharlov ALICE offline week 7 April 2008.
STAR Analysis Meeting, BNL, Dec 2004 Alexandre A. P. Suaide University of Sao Paulo Slide 1 BEMC software and calibration L3 display 200 GeV February.
Rare B  baryon decays Jana Thayer University of Rochester CLEO Collaboration EPS 2003 July 19, 2003 Motivation Baryon production in B decays Semileptonic.
Preliminary analysis of p-Pb data update n. 6 Lorenzo Bonechi LHCf Catania meeting – 19 December 2013.
Analysis chain for MAGIC Telescope data Daniel Mazin and Nadia Tonello Max-Planck-Institut für Physik München D.Mazin, N.Tonello MPI for Physics, Munich.
E. De LuciaNeutral and Charged Kaon Meeting – 7 May 2007 Updates on BR(K +  π + π 0 ) E. De Lucia.
STAR Collaboration Meeting, BNL, Feb 2005 Alexandre A. P. Suaide University of Sao Paulo Slide 1 BEMC software update L3 display 200 GeV February.
EMCal in ALICE Norbert Novitzky 1. Outline How Electro-Magnetic Calorimeters works ? Physics motivation – What can we measure with Emcal ? – Advantages.
C. Oppedisano for the ALICE Collaboration. 5 Jun 2012 C. Oppedisano 2/10 Centrality in p-A interactions can be defined through the number of collisions.
PHOS offline status report Dmitri Peressounko ALICE offline week,
1 NaI calibrationneutron observation NaI calibration and neutron observation during the charge exchange experiment 1.Improving the NaI energy resolution.
1 Checks on SDD Data Piergiorgio Cerello, Francesco Prino, Melinda Siciliano.
1 SDD offline status Francesco Prino INFN sezione di Torino ALICE offline week – March 15th 2010.
1 Outline: Update on muon/dimuon AOD production (R. Arnaldi/E. Scomparin) Other ongoing activities: MUON correction framework (X. Lopez) MUON productions.
I.BelikovCHEP 2004, Interlaken, 30 Sep Bayesian Approach for Combined Particle Identification in ALICE Experiment at LHC. I.Belikov, P.Hristov, M.Ivanov,
Features needed in the “final” AliRoot release P.Hristov 26/10/2006.
STAR J/  Trigger in dA Manuel Calderon for the Heavy-Flavor Group Trigger Workshop at BNL October 21, 2002.
STAR Analysis Meeting, BNL – oct 2002 Alexandre A. P. Suaide Wayne State University Slide 1 EMC update Status of EMC analysis –Calibration –Transverse.
The ALICE Experiment Event by Event fluctuations ALICE TOF Calibration 30th November 2007Chiara Zampolli1.
ScECAL Beam FNAL Short summary & Introduction to analysis S. Uozumi Nov ScECAL meeting.
Test beam results on the Proton Zero Degree Calorimeter for the ALICE experiment R. Gemme for the ALICE Collaboration  Universita’ del Piemonte Orientale.
1 Offline Week, October 28 th 2009 PWG3-Muon: Analysis Status From ESD to AOD:  inclusion of MC branch in the AOD  standard AOD creation for PDC09 files.
Summary of User Requirements for Calibration and Alignment Database Magali Gruwé CERN PH/AIP ALICE Offline Week Alignment and Calibration Workshop February.
Quality assurance for TPC. Quality assurance ● Process: ● Detect the problems ● Define, what is the problem ● What do we expect? ● Defined in the TDR.
PHOS offline status report Yuri Kharlov ALICE offline week 7 July 2008.
PHOBOS at RHIC 2000 XIV Symposium of Nuclear Physics Taxco, Mexico January 2001 Edmundo Garcia, University of Maryland.
Comparison of MC and data Abelardo Moralejo Padova.
MEG 実験 2009 液体キセノン検出器の性能 II 西村康宏, 他 MEG コラボレーション 東京大学素粒子物理国際研究セン ター 第 65 回年次大会 岡山大学.
Calibration algorithm and detector monitoring - TPC Marian Ivanov.
PMT time offset calibration (not completed) R.Sawada 27/Dec/2007.
 offline code: changes/updates, open items, readiness  1 st data taking plans and readiness.
09/06/06Predrag Krstonosic - CALOR061 Particle flow performance and detector optimization.
V. Pozdnyakov Direct photon and photon-jet measurement capability of the ATLAS experiment at the LHC Valery Pozdnyakov (JINR, Dubna) on behalf of the HI.
Centrality, N part & N collision at BRAHMS H. Ito University of Kansas For the BRAHMS Collaboration.
AliRoot survey: Calibration P.Hristov 11/06/2013.
3/06/06 CALOR 06Alexandre Zabi - Imperial College1 CMS ECAL Performance: Test Beam Results Alexandre Zabi on behalf of the CMS ECAL Group CMS ECAL.
10/8/ HMPID offline status D. Di Bari, A. Mastroserio, L.Molnar, G. Volpe HMPID Group Alice Offline Week.
Monthly video-conference, 18/12/2003 P.Hristov1 Preparation for physics data challenge'04 P.Hristov Alice monthly off-line video-conference December 18,
January 2009 offline detector review - 2 nd go 1 ● Offline – Geometry – Material budget – Simulation – Raw data – OCDB parameters – Reconstruction ● Calibration.
Feb C.Smith UVA EC energy calibration – g13 pass0 For pass0 data were cooked with CALDB calibration constants reset to nominal 10 channels / MeV.
New TRD (&TOF) tracking algorithm
Daniel Mazin and Nadia Tonello Max-Planck-Institut für Physik München
Elena Bruna Yale University
EZDC spectra reconstruction and calibration
Developments of the PWG3 muon analysis code
Solving pedestal problem
TOF CALIBRATION DATABASE
v4-18-Release: really the last revision!
ZDC Status Report Outline C. Oppedisano E. Scomparin
Progress with MUON reconstruction
ALICE Offline Week, CERN
EMCal Offline Code Status: Introduction and tasks
TPC status - Offline Q&A
STAR Geometry and Detectors
Charged particle multiplicity in Pb-Pb collisions from NA50 experiment
Commissioning of the ALICE-PHOS trigger
Presentation transcript:

C. Oppedisano, 9 October 2007, ALICE Offline Week 1 RECONSTRUCTION ALGORITHM CALIBRATION OBJECT ESD STRUCTURE ONGOING TASKS

C. Oppedisano, 9 October 2007, ALICE Offline Week 2 ZDC RECONSTRUCTION (I) ZDC reconstruction relies on the parameterization of various correlations: E ZDC vs. N spec, E ZDC vs. b and E ZEM vs. N spec (see PPR vol.II, par ) Due to fragments production these correlations have 2 branches corresponding to central and peripheral event samples The two branches of N spec vs. E ZDC spectra are fitted separately, requiring the same values for the 2 fitting functions for N spec = N spec, MAX CENTRAL EVENTS PERIPHERAL EVENTS N spec, MAX

C. Oppedisano, 9 October 2007, ALICE Offline Week 3 ZDC RECONSTRUCTION (II) Inverting these 2 functions one gets two possible N spec values for each experimentally measured E ZDC value Using the ZEM signal, N spec from one branch of events can be correctly determined since E ZEM is a monotonic function of N spec N spec, MAX

C. Oppedisano, 9 October 2007, ALICE Offline Week 4 CALIBRATION DATA Besides calibration data needed for pedestal subtraction and energy calibration, new data members needed for reconstruction have been added to AliZDCCalibData class // --- Coefficients for tower calibration Float_t fZN1EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs Float_t fZP1EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs Float_t fZN2EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs Float_t fZP2EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs // --- Coefficients for centrality selection from ZEM signal Float_t fZEMEndValue; // End point value of ZEM energy spectrum Float_t fZEMCutFraction; // Fraction of ZEM energy spectrum used to cut Float_t fDZEMSup; // Upper value of E ZDC vs.ZEM correlation Float_t fDZEMInf; // Lower value of E ZDC vs.ZEM correlation // --- Parameters from EZDC vs. Nspec correlation Float_t fEZN1MaxValue; // Max value of ZN1 vs. N spec n correlation Float_t fEZP1MaxValue; // Max value of ZP1 vs. N spec p correlation Float_t fEZDC1MaxValue; // Max value of ZDC1 vs. N spec n+p correlation Float_t fEZN2MaxValue; // Max value of ZN2 vs. N spec n correlation Float_t fEZP2MaxValue; // Max value of ZP2 vs. N spec p correlation Float_t fEZDC2MaxValue; // Max value of ZDC2 vs. N spec n+p correlation

C. Oppedisano, 9 October 2007, ALICE Offline Week 5 CALIBRATION DATA: SOURCE (I) Coefficients needed to calibrate the response in different towers of each ZDC // --- Coefficients for tower calibration Float_t fZN1EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs Float_t fZP1EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs Float_t fZN2EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs Float_t fZP2EqualCoeff[5]; // Equalization coefficients for ZN1 PTMs  source: cosmic data the peak given by a single photoelectron is used to calibrate the 5 PMTs of each hadronic ZDC DA needed to process cosmic data ready but still to be committed (done by end of October)

C. Oppedisano, 9 October 2007, ALICE Offline Week 6 CALIBRATION DATA: SOURCE (II) Parameters needed to reconstruct centrality variables from E ZDC // --- Coefficients for centrality selection from ZEM signal Float_t fZEMEndValue; // End point value of ZEM energy spectrum Float_t fZEMCutFraction; // Fraction of ZEM energy spectrum used to cut Float_t fDZEMSup; // Upper value of E ZDC vs. ZEM correlation Float_t fDZEMInf; // Lower value of E ZDC vs. ZEM correlation  source: ZEM signal spectrum (not energy calibrated!) + E ZDC vs. ZEM signal correlation fZEMEndValue from a fit of the spectrum (knee of the distribution) fZEMCutFraction, fDZEMSup and fDZEMInf from E ZDC vs. ZEM signal correlation

C. Oppedisano, 9 October 2007, ALICE Offline Week 7 CALIBRATION DATA: SOURCE (II) Parameters needed to reconstruct centrality variables from E ZDC // --- Parameters from EZDC vs. Nspec correlation Float_t fEZN1MaxValue; // Max value of ZN1 vs. N spec n correlation Float_t fEZP1MaxValue; // Max value of ZP1 vs. N spec p correlation Float_t fEZDC1MaxValue; // Max value of ZDC1 vs. N spec n+p correlation Float_t fEZN2MaxValue; // Max value of ZN2 vs. N spec n correlation Float_t fEZP2MaxValue; // Max value of ZP2 vs. N spec p correlation Float_t fEZDC2MaxValue; // Max value of ZDC2 vs. N spec n+p correlation  source: E ZDC vs. “true” N spec correlation, built using ZEM information the no. of DETECTED spectators derived from E ZDC is “biased” by fragmentation N spec = E ZDC [TeV]/2.76 DAs to be implemented (done by end of October)

C. Oppedisano, 9 October 2007, ALICE Offline Week 8 EVENT RECONSTRUCTION (I) from ADC data (raw or digitized) PEDESTAL SUBTRACTION equalization of signal from different sectors ENERGY CALIBRATION sum of signals from the 5 sectors  E ZN1, E ZP1, E ZN2, E ZP2 calculation of detected N spec RECONSTRUCTION STEPS subtraction of mean pedestal values fCalibData  GetMeanPed() corrected ADC * equalization coeff. fCalibData  GetZN1EqualCoeff(i) equalized signal * energy calib. coeff. fCalibData  GetEnCalib(i) CALIBRATION DATA

C. Oppedisano, 9 October 2007, ALICE Offline Week 9 EVENT RECONSTRUCTION (II) evaluation of “true” N spec, N part, b use of calibration data from ZEM signal fCalibData  GetZEMEndValue() fCalibData  GetZEMCutFraction() fCalibData  GetDZEMSup() fCalibData  GetDZEMInf() CALIB RECO ZEMcut ZEMcut-DZEMInf According to ZEM signal the centrality variables are evaluated from different parameterizations ZEM > ZEMcut+DZEMSup  parametrization of the central branch of correlations vs. E ZDC ZEM < ZEMcut-DZEMInf  parametrization of the peripheral branch of correlations vs. E ZDC ZEM  > ZEMcut-DZEMInf && <ZEMcut+DZEMInf  parametrization from correlations vs. ZEM ZEMcut+DZEMSup

C. Oppedisano, 9 October 2007, ALICE Offline Week 10 MODEL DEPENDENCY Extrapolation of centrality variables relies on models! Parametrized functions from HIJING + fragmentation model: central and peripheral branches of N spec vs. E ZDC for ZN, ZP and ZDC (+) (-) central and peripheral branches of b vs. E ZDC N spec vs. ZEM signal for n, p and n+p b vs. ZEM signal Now the parametrized distributions are in AliZDCReconstruction constructor Distributions will be fitted once from experimental data and these fit functions will be used to provide centrality variables The extrapolation still depends on fragmentation model

C. Oppedisano, 9 October 2007, ALICE Offline Week 11 ESD New data members in AliESDZDC class: energy measured in the 4 sectors for the 2 neutron calorimeters Double_t fZN1TowerEnergy[4];// reconstructed energy in 4 neutron ZDC towers Double_t fZN2TowerEnergy[4];// reconstructed energy in 4 neutron ZDC towers Double32_t fZDCN1Energy; // reconstructed energy in the neutron ZDC Double32_t fZDCP1Energy; // reconstructed energy in the proton ZDC Double32_t fZDCN2Energy; // reconstructed energy in the neutron ZDC Double32_t fZDCP2Energy; // reconstructed energy in the proton ZDC Double32_t fZDCEMEnergy; // signal in the electromagnetic ZDC Int_t fZDCParticipants; // number of participants estimated by the ZDC  provide event by event the centroid of the spectator neutrons spot  reconstruct the 1 st order event plane  In AliESDEvent a method GetZDCCentroid to provide the spot coord. will be added

C. Oppedisano, 9 October 2007, ALICE Offline Week 12 ONGOING TASKS (I)  already committed DAs (for pedestal subtraction and energy calibration coefficient calculation) are waiting to be tested by the DAQ expert (aware from last Offline week!)  missing DAs (needed to evaluate parameters for centrality reconstruction) implemented, tested and committed by end of October DAQ DA

C. Oppedisano, 9 October 2007, ALICE Offline Week 13 ONGOING TASKS (II)  ESD and digit QA by the end of October  preliminary version of the geometry “as installed” (by R. Gemme) is under debug. Hopefully it will be working by the end of October QA and geometry

C. Oppedisano, 9 October 2007, ALICE Offline Week 14 CONCLUSIONS CALIBRATION calibration object finalized use of calibration object in event reconstruction completed RECONSTRUCTION reconstruction algorithm under final tests (something still remains to be tested…) ESD new ESD structure implemented AliESDEvent::GetCentroid method to be committed Open question… where to put the parametrized function …not in calibration object since in principle they don’t change over the whole run (they depends only on the ZDC energy response) A production of Pb-Pb with PIXEL+ZDC+forward detectors (T0, V0, FMD, PMD) is foreseen to study the multiplicity production as a function of centrality estimated with the ZDC