M.C. Studies of CDC Axial/Stereo Layer Configuration David Lawrence, JLab Sept. 19, 2008 9/19/08 1 CDC Tracking MC Studies -- D. Lawrence, JLab.

Slides:



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

Ozgur Ates Hampton University HUGS 2009-JLAB TREK Experiment “Tracking and Baseline Design”
TRACK DICTIONARY (UPDATE) RESOLUTION, EFFICIENCY AND L – R AMBIGUITY SOLUTION Claudio Chiri MEG meeting, 21 Jan 2004.
LHCb PatVeloTT Performance Adam Webber. Why Upgrade?  Currently we de-focus the beams o LHCb Luminosity ~ 2x10 32 cm -2 s -1 o ~ 1 interaction per bunch.
Measurement of non BB Decays of Y(4S) to Y(1S)     and Y(2S)     Silvano Tosi Università & INFN Genova.
1 G4MICE studies of PID transverse acceptance MICE video conference Rikard Sandström.
D. Peterson, Cornell CLEO group meeting, Oct 23, Cornell Contributions to Infrastructure: Track Reconstruction Track Finding
Tracking Efficiency and Momentum Resolution Analysis Chris Meyer UCSC ILC Simulation Reconstruction Meeting March 13, 2007.
Dec 2005Jean-Sébastien GraulichSlide 1 Improving MuCal Design o Why we need an improved design o Improvement Principle o Quick Simulation, Analysis & Results.
Peter Fauland (for the LHCb collaboration) The sensitivity for the B S - mixing phase  S at LHCb.
1 EMCal design MICE collaboration meeting Fermilab Rikard Sandström.
Tracking Studies and the CDC Jan 30, 2009 David Lawrence JLab 1.
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.
1 Tracking Reconstruction Norman A. Graf SLAC July 19, 2006.
15 Dec 2010 CERN Sept 2010 beam test: Sensor response study Chris Walmsley and Sam Leveridge (presented by Paul Dauncey) 1Paul Dauncey.
MdcPatRec Tracking Status Zhang Yao, Zhang Xueyao Shandong University.
26 Jan, MEG Software Status Framework for MEG MC, Unification of LargePrototype/beam test, Schedule and DC reconstruction MEG Software Group.
Point Source Search with 2007 & 2008 data Claudio Bogazzi AWG videconference 03 / 09 / 2010.
K charged meeting 10/11/03 K tracking efficiency & geometrical acceptance :  K (p K,  K )  We use the tag in the handle emisphere to have in the signal.
V.Patera – KLOE GM – Otranto – 10 June 2002 K  reconstruction status K + K - retracking features New vs Old : resolution New vs Old : efficiencies Conclusion.
Mitglied der Helmholtz-Gemeinschaft Calibration of the COSY-TOF STT & pp Elastic Analysis Sedigheh Jowzaee IKP Group Talk 11 July 2013.
Determination of True Attenuation Lengths using SPASE-AMANDA Coincidence Data Tim Miller JHU/APL.
© Imperial College LondonPage 1 Tracking & Ecal Positional/Angular Resolution Hakan Yilmaz.
A. Smith UMD, April 20-21, 2007 Milagro collaboration meeting The Hidden Potential of the “Gamma’’ Data. The Milagro Gamma-Hadron separation is bases on.
Proton Charge Form Factor Measurement E. Cisbani INFN Rome – Sanità Group and Italian National Institute of Health 113/Oct/2011E. Cisbani / Proton FF.
Particle Identification. Particle identification: an important task for nuclear and particle physics Usually it requires the combination of informations.
Measurement of the Charge Ratio of Cosmic Muons using CMS Data M. Aldaya, P. García-Abia (CIEMAT-Madrid) On behalf of the CMS Collaboration Sector 10 Sector.
Active polarimeter simulation Suguru Shimizu Osaka University Sep. 1, 2007 JPARC TREK Collaboration meeting at Saskatchewan.
1 DT Local Reconstruction on CRAFT data Plots for approval CMS- Run meeting, 26/6/09 U.Gasparini, INFN & Univ.Padova on behalf of DT community [ n.b.:
1 Oct 2009Paul Dauncey1 Status of 2D efficiency study Paul Dauncey.
The Detector Performance Study for the Barrel Section of the ATLAS Semiconductor Tracker (SCT) with Cosmic Rays Yoshikazu Nagai (Univ. of Tsukuba) For.
Adam Blake, June 9 th Results Quick Review Look at Some Data In Depth Look at One Anomalous Event Conclusion.
GlueX Software Status + Framework Development David Lawrence JLab September 19, /19/081Software Status -- David Lawrence, JLab.
Giuseppe Ruggiero CERN Straw Chamber WG meeting 07/02/2011 Spectrometer Reconstruction: Pattern recognition and Efficiency 07/02/ G.Ruggiero - Spectrometer.
LAV efficiency studies with photons T. Spadaro* *Frascati National Laboratory of INFN.
10/25/2007Nick Sinev, ALCPG07, FNAL, October Simulation of charge collection in chronopixel device Nick Sinev, University of Oregon.
M. Ellis - MICE Collaboration Meeting - Wednesday 27th October Sci-Fi Tracker Performance Software Status –RF background simulation –Beam simulation.
Tracking software of the BESIII drift chamber Linghui WU For the BESIII MDC software group.
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.
Mitglied der Helmholtz-Gemeinschaft Hit Reconstruction for the Luminosity Monitor March 3 rd 2009 | T. Randriamalala, J. Ritman and T. Stockmanns.
Study of beamstrahlung background r-tuples in the DCH (6.1  s of "beamstrahlung”) beam-strahlung root beam-strahlung root beam-strahlung root.
Michele Faucci Giannelli
Comparisons of neutron production by muons in GEANT4 and toy model
Garfield studies of cell layouts
Beam Energy-Loss measurement
M. Kuhn, P. Hopchev, M. Ferro-Luzzi
Huagen Xu IKP: T. Randriamalala, J. Ritman and T. Stockmanns
Tracking results from Au+Au test Beam
Charles F. Maguire Vanderbilt University
Tracking System at CERN 06 and 07 test beams
Analysis Test Beam Pixel TPC
DT Local Reconstruction on CRAFT data
HARPO Analysis.
TPC status - Offline Q&A
The reconstruction method for GLD PFA
HPS Collaboration meeting, JLAB, Nov 16, 2016
Status of ECAL Optimization Study
kT Asymmetry in Longitudinally Polarized Collisions
RICH detector for CLAS12 … continue to explore feasibility of proximity focusing RICH in LTCC sector(s) INFN-Rome and ISS CLAS12-RICH Working Group Meeting.
Study of dE/dx Performance in TPC at CEPC
Using Single Photons for WIMP Searches at the ILC
kT Asymmetry in Longitudinally Polarized pp Collisions
Study of e+e- pp process using initial state radiation with BaBar
Summary of dE/dx studies in silicon and MS in muon system
Problems with the Run4 Preliminary Phi->KK Analysis
road – Hough transform- c2
Studies of the Time over Threshold
SCT Wafer Distortions (Bowing)
Update on POLA-01 measurements in Catania
Presentation transcript:

M.C. Studies of CDC Axial/Stereo Layer Configuration David Lawrence, JLab Sept. 19, /19/08 1 CDC Tracking MC Studies -- D. Lawrence, JLab

How  2 is defined The  2 is formed using the residuals between the fit and thrown parameters: If the components are independent and drawn from a Gaussian parent distribution, this would follow a “chi-squared” distribution with a well-known probability distribution 2 CDC Tracking MC Studies -- D. Lawrence, JLab 9/19/08

Map of  2 /dof as a function of 2 of the 5 fit parameters Event AEvent B 9/19/08 3 CDC Tracking MC Studies -- D. Lawrence, JLab

Event 1914 has a large  2 /dof A bird’s eye view of the event looks like everything is OK Blue (thick) is the thrown track Orange (thin) is the fit track 9/19/08 4 CDC Tracking MC Studies -- D. Lawrence, JLab

Event 1914 has a large  2 /dof X-Y view of Event 1914 Thrown track Fit track 9/19/08 5 CDC Tracking MC Studies -- D. Lawrence, JLab

Event 1179 has a large  2 /dof X-Y view of Event 1179 Thrown track Fit track 9/19/08 6 CDC Tracking MC Studies -- D. Lawrence, JLab

Other events with poor  2 /dof with p t as dominant term Event 1277Event /19/08 7 CDC Tracking MC Studies -- D. Lawrence, JLab

Two options for CDC stereo configuration 2 stereo superlayers3 stereo superlayers stereo8stereo9 9/19/08 8 CDC Tracking MC Studies -- D. Lawrence, JLab

Alignment of CDC straws  relative to the  of the wire in layer 23 as a function of . Pattern comes from neighboring layers having only slightly more (or less) straws than layer 23.  values with high density of points indicate areas where there is a high degree of alignment. 9/19/08 9 CDC Tracking MC Studies -- D. Lawrence, JLab

Alignment of CDC straws w/ phase shifts To disrupt the alignment of the wires, phase shifts in  were introduced for each layer.  Every 4 th layer was rotated by: 0 +  i /2  i /3 +  i /5 where  i is the angle between adjacent wires in the layer 9/19/08 10 CDC Tracking MC Studies -- D. Lawrence, JLab

Reciprocal of phase difference density In this plot, larger values indicate greater alignment of the straws in the outer layers (15-25). The stereo9 configuration is slightly better than stereo8, but both are improved significantly by adding relative phase shifts between layers. 9/19/08 11 CDC Tracking MC Studies -- D. Lawrence, JLab

5 CDC configurations studied (yes, only 4 are shown) 24 layers 27 layers 9/19/08 12 CDC Tracking MC Studies -- D. Lawrence, JLab

What was simulated 1 million single  + events for each configuration. MS, E-loss on, but no position smearing Finder and fitter used in conjunction ( previously, all fit results came from using the thrown values for the candidates ) Efficiency determined by cut on  2 /dof derived from parameters (not hit residuals) 9/19/08 13 CDC Tracking MC Studies -- D. Lawrence, JLab

“Tracking Efficiency” compared to  2 cumulative distribution function 14 CDC Tracking MC Studies -- D. Lawrence, JLab 9/19/08

Pulls with double Gaussian fits Red = Tracking Results Thick black = double gaussian Thin black = gaussian (sampled) 15 CDC Tracking MC Studies -- D. Lawrence, JLab 9/19/08   pt/pt  

Efficiency as a function of phase space 0.2 GeV/c ≤ p ≤ 2.0 GeV/c 15 o ≤  ≤ 140 o 16 CDC Tracking MC Studies -- D. Lawrence, JLab 9/19/08

Toy model  2 shares features with MC Simulation study 9/19/08 CDC Tracking MC Studies -- D. Lawrence, JLab 17 MC Simulation with reconstruction Toy model plot (left) includes all L-R solutions (including 15 “wrong” ones) MC Simulation includes 1 guess for L-R solution

Probability Distributions for two ways of fitting pull distributions 18 CDC Tracking MC Studies -- D. Lawrence, JLab Gaussians fit only to core of pull distributionsGaussians fit to full pull distributions 9/19/08

Tracking Efficiency for Several CDC Configurations Phasespace: range 9/19/08 19 CDC Tracking MC Studies -- D. Lawrence, JLab

dE in single tube reported by hdgeant Nominal Geometry Close Packed Green regions are estimates of hits discarded by dE threshold. Estimate is made by straight line from 0,0 to 1keV point. This likely overestimates the below-threshold contribution. NOTE: Max energy deposition at 90 o : (1.6 cm)(2.6 keV/cm) = 4.16 keV Phasespace: 1 GeV/c ; 90 o 9/19/08 20 CDC Tracking MC Studies -- D. Lawrence, JLab

CDC hits per track Nominal Geometry Close Packed The number of missing hits was fit to a Poisson and the mean taken as the average number of missed hits. The Nominal Geometry is consistent with the single hit efficiency derived from the dE plots. The Close Packed geometry is consistent with ~9% inefficiency on average due to gaps in the “close-packed” axial layers. Phasespace: range 9/19/08 21 CDC Tracking MC Studies -- D. Lawrence, JLab

Distance of Closest Approach (DOCA) (calculated from t drift -tof) Nominal Geometry Close Packed Phasespace: 1 GeV/c ; 90 o 9/19/08 22 DOCA distributions seem consistent with the 88.2% single hit efficiency and cut on dE which corresponds to the outer part of the tube. CDC Tracking MC Studies -- D. Lawrence, JLab

Expected energy loss in CDC gas Total for CDC gas dE/dx = keV/cm dE/dx (MeV/g cm 2 )  (g/ l ) dE/dx (keV/cm) Ar (85%) CO 2 (15% )  x = 1.26cm 3.27 keV Note: for a 1 keV energy loss, expect x=7.8mm or about 2.45% inefficiency 9/19/08 23 CDC Tracking MC Studies -- D. Lawrence, JLab

Tracking Efficiency with and without dE threshold Phasespace: range 9/19/08 24 CDC Tracking MC Studies -- D. Lawrence, JLab

Close packing vs. extra layers The low-threshold baseline design (shifted) has approximately the same number of hits per track as the close packed design with a high threshold. This gives a suggestion as to how much close packing buys vs. extra layers. 9/19/08 25 CDC Tracking MC Studies -- D. Lawrence, JLab 2 stereo superlayers

Conclusions 3 stereo superlayers improves tracking efficiency Additional layers improves tracking efficiency (we seem to be in a region of high sensitivity) Single hit efficiency due to 1keV threshold is ~88%. The energy distribution from hdgeant needs to be verified and then the threshold examined more closely  2 distribution is not yet fully understood, but tests are underway to see if it is linked to the Left-Right ambiguity issue 9/19/08 26 CDC Tracking MC Studies -- D. Lawrence, JLab

Backup Slides 9/19/08 CDC Tracking MC Studies -- D. Lawrence, JLab 27

Gaussian fits to full pull distributions (not just Gaussian cores) 28 CDC Tracking MC Studies -- D. Lawrence, JLab 9/19/08

Expected Probability Density as a Function of the Integral Fraction 29 CDC Tracking MC Studies -- D. Lawrence, JLab 9/19/08

Efficiency as a function of transverse momentum and polar angle stereo8stereo9 Differences not really noticeable here! Total momentum range: 150MeV/c - 2GeV/c Total angular range: 15 o – 140 o 9/19/08 30 CDC Tracking MC Studies -- D. Lawrence, JLab

Pulls of momentum parameters for CDC option-1 and option-2 9/19/08 31 CDC Tracking MC Studies -- D. Lawrence, JLab

Efficiency vs. accuracy of fit parameters 9/19/08 32 CDC Tracking MC Studies -- D. Lawrence, JLab

Pulls from fits with perfect conditions for stereo8 off 9/19/08 33 CDC Tracking MC Studies -- D. Lawrence, JLab

Why “perfect” isn’t perfect hdgeant estimates the point of closest approach (POCA) to be the midpoint of the entrance and exit points of the tube. This is true to about 10  m (systematic) Tracking reconstruction approximates trajectory as parabola near wire and calculates POCA from that 9/19/08 34 CDC Tracking MC Studies -- D. Lawrence, JLab

Efficiency for “perfect” conditions 9/19/08 35 CDC Tracking MC Studies -- D. Lawrence, JLab