Difference: SiDTrackingEfficiencies (1 vs. 40)
Revision 402017-07-13 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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Revision 392017-01-18 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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Generation/simulation chain | ||||||||
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| > > | How to obtain code for simulation and compile itgit clone https://github.com/iLCSoft/lcgeo.git cd lcgeo/ mkdir build cd build/ source /cvmfs/clicdp.cern.ch/iLCSoft/builds/2016-12-15/x86_64-slc6-gcc62-opt/init_ilcsoft.sh cmake -C /cvmfs/clicdp.cern.ch/iLCSoft/builds/2016-12-15/x86_64-slc6-gcc62-opt/ILCSoft.cmake -DBoost_NO_BOOST_CMAKE=ON .. make install | |||||||
| Prior simulation of detector response of the SiD, we need to generate particles. In the simple case it can be running script that specifies PDG number of particle, 4 vector of particle and other usefull parameters. | ||||||||
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How to generate file with blank of particlesAssuming that you have installed lcgeo(linear collider geometry package). If not, follow instruction on https://twiki.ppe.gla.ac.uk/bin/view/LinearCollider/GlaSiDGettingStarted . On the fresh login to terminal execute : | ||||||||
Revision 382016-12-03 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| Z0 resolution obtained using Z0resolution.cxx script | ||||||||
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| > > | Example how to plot resolutions can be found in momentumres_angle.cxx file, which is attached to the twiki page. | |||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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Description of the reconstruction code, How to run it. | ||||||||
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| < < | Reconstruction code for SiD was adopted from CLIC (Clicperformance package). It has following modifications: | |||||||
| > > | Reconstruction code for SiD was adopted from CLIC (Clicperformance package), which you can find here :
https://svnsrv.desy.de/viewvc/marlinreco/ClicPerformance/trunk/Tracking/
Some macros and scripts have been used from ILD performance package, which you can find here:
https://svnsrv.desy.de/viewvc/marlinreco/ILDPerformance/trunk/tracking/
It has following modifications: | |||||||
| For layer residuals code we are using hard coded SiDecoderString: "subdet:6,side:3,layer:4,module:12,sensor:1" for decoding. Additionally, We do not do refitting and extrapolating of tracks, what have been implemented in the CLIC code. Assuming that you are on the fresh login in terminal: | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| source /cvmfs/sft.cern.ch/lcg/releases/gcc/4.8.4/x86_64-slc6/setup.sh source /cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/init_ilcsoft.sh cd lcgeo/ | ||||||||
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| < < | wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/SiDTrackingEfficiencies/Tracking.tar.gz (To get the reconstruction code) tar xvzf Tracking.tar.gz Tracking/ (To unpack archive) | |||||||
| > > | wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/SiDTrackingEfficiencies/Tracking_2_12_16.tar.gz (To get the reconstruction code) tar xvzf Tracking_2_12_16.tar.gz Tracking/ (To unpack archive) | |||||||
| cd Tracking/ find(to list all files in the directory) ./src(directory with Marlin processor source codes) | ||||||||
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| ./include/fpcompare.h ./CMakeLists.txt ( CMake configuration file ) ./SiDReconstruction_161910_new_bogdan.xml (Marlin steering file) | ||||||||
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| < < | ./treeDraw.cxx (script to draw residuals per layer with specifying root file) ./make+run.sh~ ./treeDraw_x.cxx (script to draw x layer residuals) ./pulls.cxx ( script that draw pull distributions) ./make+run.sh ( bash script to compile code and to run Marlin with steering file) ./histograms500GeV_ttbar_10000.root (root file with tree structure that contains track reconstruction efficiencies) ./analysis_100_40_10_mu.root (root file with tree structure that contains residuals and pool distribution) ./hitresiduals_layer_40_10_v02_SiD_100.root (root file that have layer residuals ) ./SiD_02_v01_10_10_85.slcio (slcio file that can be used as input for running Marlin) ./gear_sid.xml ( gear with detector specification that attached to the Marlin steering file) | |||||||
| Then: mkdir build lib ( make directories) | ||||||||
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| -DILCUTIL_DIR=/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/ilcutil/v01-03/ -C $ILCSOFT/ILCSoft.cmake .. make make install | ||||||||
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| < < | After successful compilation: | |||||||
| > > | After successful compilation you will get something like this: [100%] Built target TrackAna Install the project... -- Install configuration: "RelWithDebInfo" -- Installing: /afs/phas.gla.ac.uk/user/b/bogdanm/public_ppe/Tracking/lib/libTrackAna.so.1.0.0 -- Installing: /afs/phas.gla.ac.uk/user/b/bogdanm/public_ppe/Tracking/lib/libTrackAna.so.1.0 -- Installing: /afs/phas.gla.ac.uk/user/b/bogdanm/public_ppe/Tracking/lib/libTrackAna.so -- Set runtime path of "/afs/phas.gla.ac.uk/user/b/bogdanm/public_ppe/Tracking/lib/libTrackAna.so.1.0.0" to "/afs/phas.gla.ac.uk/user/b/bogdanm/public_ppe/Tracking/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/root/6.06.02/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/Marlin/v01-09/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/lcio/v02-07-02/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/gear/v01-06/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/CLHEP/2.1.4.1/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/ilcutil/v01-03/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/MarlinTrk/v02-02/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/RAIDA/v01-07/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/DD4hep/v00-16/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/MarlinUtil/v01-12/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/CED/v01-09-01/lib:/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/gsl/2.1/lib" | |||||||
| cd .. export MARLIN_DLL=$MARLIN_DLL:$PWD/lib/libTrackAna.so (to link Marlin with compiled object files) | ||||||||
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| < < | Marlin SiDReconstruction_161910_new_bogdan.xml(with specifying slcio file (SiD_02_v01_10_10_85.slcio)) Marlin -c SiDReconstruction_161910_new_bogdan.xml(check given steering file for consistency) | |||||||
| > > | Marlin -c SiDReconstruction_021216_new_bogdan.xml(check given steering file for consistency) Marlin SiDReconstruction_021216_new_bogdan.xml(with specifying slcio file (testSiD_o1_v03_1000_muons_Angle_40_Momentum_10.slcio)) ls -ltr You will get such files: -rw-r--r-- 1 bogdanm ilc 3146400 Dec 2 13:32 SiD_Tracks_SiD_o1_v03_100_muons_Angle_40_Momentum_10.slcio (slcio file with tracking information (you can use it afterwards for visualization) -rw-r--r-- 1 bogdanm ilc 11734 Dec 2 13:32 hit_residuals_SiD_o1_v03_100_muons_Angle_40_Momentum_10.root (root file with residuals per later) -rw-r--r-- 1 bogdanm ilc 131753 Dec 2 13:32 global_residuals_SiD_o1_v03_100_muons_Angle_40_Momentum_10.root(root file with pulls, residuals of track parameters) -rw-r--r-- 1 bogdanm ilc 16593 Dec 2 13:32 digi_processors_SiD_o1_v03_100_muons_Angle_40_Momentum_10.root(root file with efficiencies(versus angle or momentum) | |||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
Revision 332016-11-17 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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This is tracking efficiency for momentum range [1,500]GeV
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How to produce track parameter resolutions (d_{0}, z_{0}, pt) | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| Z0 resolution obtained using Z0resolution.cxx script
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| On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure) * This is Pt resolution obtained with SiD_o1_v03 model using momentumres_angle.cxx script: | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt)D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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| Z0 resolution obtained using Z0resolution.cxx script | ||||||||
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On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure) | ||||||||
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| < < | * This is Pt resolution obtained with SiD_o1_v03 model using momentumres_angle.cxx script:  | |||||||
| > > | * This is Pt resolution obtained with SiD_o1_v03 model using momentumres_angle.cxx script: | |||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| > > | This is tracking efficiency for momentum range [1,500]GeV
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How to produce track parameter resolutions (d_{0}, z_{0}, pt)D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt)D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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Revision 262016-11-11 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| SiD detector mentioned above is the one of two detector concepts proposed for ILC. Below you can see layout of the detector. My thesis is focused mostly on the Tracker subsystem. Please refer to the report that will be attached later on for more details on it. | ||||||||
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This is angle coverage for SiD Tracker system. For low angles from beamline(<40^{0}) acceptance will be mostly by endcaps(inner outter vertex disks and tracker disks), while for angles greater then 40^{0} will be mostly Barrel(Vertex and Tracker).
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Generation/simulation chainPrior simulation of detector response of the SiD, we need to generate particles. In the simple case it can be running script that specifies PDG number of particle, 4 vector of particle and other usefull parameters.How to generate file with blank of particles | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| > > | How to produce Tracking efficienciesEfficiency of track reconstruction depends on the theta angle(angle between projection of momentum on z axis and momentum) and transverse momentum. You can see below dependence on theta for SiD_o1_v03 version of detector model. As you have noticed efficiency of reconstruction falls significantly after 40 due, to the problems with Forward Tracking Disks (after 120^{0} ) and Endcaps(both Tracker and Vertex) (< 40^{0} ). | |||||||
How to produce track parameter resolutions (d_{0}, z_{0}, pt) | ||||||||
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| < < | How to produce Tracking efficienciesEfficiency of track reconstruction depends on the theta angle(angle between projection of momentum on z axis and momentum) and transverse momentum. You can see below dependence on theta for SiD_o1_v03 version of detector model. As you have noticed efficiency of reconstruction falls significantly after 40 due, to the problems with Forward Tracking Disks (after 120^{0} ) and Endcaps(both Tracker and Vertex) (< 40^{0} ). | |||||||
Pattern recognitionPattern recognition is a field of applied mathematics, which aim is the classification of objects. For instance, position measurements along particle trajectories can be classified as different physical objects. Please refer to the report that will be attached later on for more details on it. | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| > > | Z0 resolution obtained using Z0resolution.cxx script | |||||||
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On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure)
* This is Pt resolution obtained with SiD_o1_v03 model using momentumres_angle.cxx script: | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt)D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| make install After successful compilation: cd .. | ||||||||
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| < < | export MARLIN_DLL=$MARLIN_DLL:$PWD/lib//libTrackAna.so (to link Marlin with compiled object files) | |||||||
| > > | export MARLIN_DLL=$MARLIN_DLL:$PWD/lib/libTrackAna.so (to link Marlin with compiled object files) | |||||||
| Marlin SiDReconstruction_161910_new_bogdan.xml(with specifying slcio file (SiD_02_v01_10_10_85.slcio)) Marlin -c SiDReconstruction_161910_new_bogdan.xml(check given steering file for consistency) | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt) | ||||||||
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| < < | Efficiency of track reconstruction depends on the theta angle(angle between projection of momentum on z axis and momentum) and transverse momentum. You can see below dependence on theta for SiD_o1_v03 version of detector model. As you have noticed efficiency of reconstruction falls significantly after 40 due, to the problems with Forward Tracking Disks (after 120^{0} ) and Endcaps(both Tracker and Vertex) (< 40^{0} ).
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D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure)
* This is Pt resolution obtained with SiD_o1_v03 model using momentumres_angle.cxx script: | ||||||||
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How to produce Tracking efficiencies | ||||||||
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| > > | Efficiency of track reconstruction depends on the theta angle(angle between projection of momentum on z axis and momentum) and transverse momentum. You can see below dependence on theta for SiD_o1_v03 version of detector model. As you have noticed efficiency of reconstruction falls significantly after 40 due, to the problems with Forward Tracking Disks (after 120^{0} ) and Endcaps(both Tracker and Vertex) (< 40^{0} ). | |||||||
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Pattern recognitionPattern recognition is a field of applied mathematics, which aim is the classification of objects. For instance, position measurements along particle trajectories can be classified as different physical objects. Please refer to the report that will be attached later on for more details on it. | ||||||||
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Revision 182016-11-05 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt) | ||||||||
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| > > | Efficiency of track reconstruction depends on the theta angle(angle between projection of momentum on z axis and momentum) and transverse momentum. You can see below dependence on theta for SiD_o1_v03 version of detector model. As you have noticed efficiency of reconstruction falls significantly after 40 due, to the problems with Forward Tracking Disks (after 120^{0} ) and Endcaps(both Tracker and Vertex) (< 40^{0} ).
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| D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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| On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure) | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | |||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt) | |||||||||
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| > > | D0_resolution can be produced by running following script D0_resolution_angle.cxx: | ||||||||
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| On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure) | |||||||||
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| > > | * This is Pt resolution obtained with SiD_o1_v03 model using momentumres_angle.cxx script: | ||||||||
How to produce Tracking efficiencies | |||||||||
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| > > | On the figure below you can see Transverse momentum resolution obtained in the new framework and comparison with Detailed Baseline Design report from 2012(following figure)
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How to produce Tracking efficienciesPattern recognition | ||||||||
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How to produce track parameter resolutions (d_{0}, z_{0}, pt) | |||||||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
| Line: 95 to 95 | ||||||||
How to produce Hit residuals | ||||||||
| Added: | ||||||||
| > > |  | |||||||
How to produce Hit pull distributions | ||||||||
| Added: | ||||||||
| > > |
If you will specify in the in the pulls.cxx script root file : (TFile *residuals = new TFile("analysis_100_40_10_mu.root")) and then:
root pulls.cxx
Below you can find Pulls distribution track parameters, which indicate good performance of the MC Truth Tracking(Gaussian distributions with mean close to 0 and sigma close to 1(small box) ):
| |||||||
| Deleted: | ||||||||
| < < | Below you can find Pulls distribution track parameters, which indicate good performance of the MC Truth Tracking: | |||||||
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| < < |
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How to produce track parameter resolutions (d_{0}, z_{0}, pt) | ||||||||
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
| Line: 27 to 27 | ||||||||
| source /cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/init_ilcsoft.sh cd lcgeo/ python example/lcio_particle_gun.py (where you specify PDG and incident angle \theta and number of generated particles and other parameters) | ||||||||
| Changed: | ||||||||
| < < | Run the simulation: ddsim --compactFile=SiD/compact/SiD_o1_v01/SiD_o1_v03.xml --runType=batch --inputFile mcparticles.slcio -N=1 --outputFile=testSiD_o1_v03.slcio | |||||||
| > > | Do the following command to have a look inside the file: anajob mcparticles.slcio (prints MCParticle collection for each event) or dumpevent mcparticles.slcio (prints details of MCParticle collection for each event) Run the simulation:bogdanmishchenko ddsim --compactFile=SiD/compact/SiD_o1_v01/SiD_o1_v03.xml --runType=batch --inputFile mcparticles.slcio -N=10 --outputFile=testSiD_o1_v03.slcio anajob testSiD_o1_v03.slcio (prints MCParticle collection and hit collections for different subdetector parts (SiTrackerBarrelHits of SimTrackerHit type) and other collections ) | |||||||
Digitization/reconstruction chain | ||||||||
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Description of the reconstruction code, How to run it. | ||||||||
| Added: | ||||||||
| > > | Reconstruction code for SiD was adopted from CLIC (Clicperformance package). It has following modifications: For layer residuals code we are using hard coded SiDecoderString: "subdet:6,side:3,layer:4,module:12,sensor:1" for decoding. Additionally, We do not do refitting and extrapolating of tracks, what have been implemented in the CLIC code. | |||||||
Assuming that you are on the fresh login in terminal:
source /cvmfs/sft.cern.ch/lcg/releases/gcc/4.8.4/x86_64-slc6/setup.sh | ||||||||
| Line: 59 to 67 | ||||||||
| ./include/fpcompare.h ./CMakeLists.txt ( CMake configuration file ) ./SiDReconstruction_161910_new_bogdan.xml (Marlin steering file) | ||||||||
| Changed: | ||||||||
| < < | ./treeDraw.cxx | |||||||
| > > | ./treeDraw.cxx (script to draw residuals per layer with specifying root file) | |||||||
| ./make+run.sh~ ./treeDraw_x.cxx (script to draw x layer residuals) ./pulls.cxx ( script that draw pull distributions) | ||||||||
| Line: 73 to 81 | ||||||||
| Then: mkdir build lib ( make directories) cd build/ | ||||||||
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| < < | ||||||||
| cmake -DCMAKE_CXX_COMPILER=`which g++` -DCMAKE_C_COMPILER=`which gcc` -DILCUTIL_DIR=/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/ilcutil/v01-03/ -C $ILCSOFT/ILCSoft.cmake .. | ||||||||
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| make | ||||||||
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| < < | ||||||||
| make install | ||||||||
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| < < | ||||||||
| > > | After successful compilation: cd .. export MARLIN_DLL=$MARLIN_DLL:$PWD/lib//libTrackAna.so (to link Marlin with compiled object files) Marlin SiDReconstruction_161910_new_bogdan.xml(with specifying slcio file (SiD_02_v01_10_10_85.slcio)) Marlin -c SiDReconstruction_161910_new_bogdan.xml(check given steering file for consistency) | |||||||
Revision 112016-10-19 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
| Line: 27 to 27 | ||||||||
| source /cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/init_ilcsoft.sh cd lcgeo/ python example/lcio_particle_gun.py (where you specify PDG and incident angle \theta and number of generated particles and other parameters) | ||||||||
| Added: | ||||||||
| > > | Run the simulation: | |||||||
| ddsim --compactFile=SiD/compact/SiD_o1_v01/SiD_o1_v03.xml --runType=batch --inputFile mcparticles.slcio -N=1 --outputFile=testSiD_o1_v03.slcio | ||||||||
| Line: 37 to 38 | ||||||||
Description of the reconstruction code, How to run it. | ||||||||
| Added: | ||||||||
| > > | Assuming that you are on the fresh login in terminal:
source /cvmfs/sft.cern.ch/lcg/releases/gcc/4.8.4/x86_64-slc6/setup.sh source /cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/init_ilcsoft.sh cd lcgeo/ wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/SiDTrackingEfficiencies/Tracking.tar.gz (To get the reconstruction code) tar xvzf Tracking.tar.gz Tracking/ (To unpack archive) cd Tracking/ find(to list all files in the directory) ./src(directory with Marlin processor source codes) ./src/Global_residuals.cc (processor that output residuals, pulls for hits) ./src/HitResiduals.cc (processor that output layer residuals ) ./src/ResidualsCalculator.cc( processor that calculates trackreconstruction efficiencies versus, pt(transverse momentum, theta, eta(pseudorapidity) ./include ( directory that contains header files) ./include/Global_residuals.h ./include/HitResiduals.h ./include/ResidualsCalculator.h ./include/LinkDef.h ./include/fpcompare.h ./CMakeLists.txt ( CMake configuration file ) ./SiDReconstruction_161910_new_bogdan.xml (Marlin steering file) ./treeDraw.cxx ./make+run.sh~ ./treeDraw_x.cxx (script to draw x layer residuals) ./pulls.cxx ( script that draw pull distributions) ./make+run.sh ( bash script to compile code and to run Marlin with steering file) ./histograms500GeV_ttbar_10000.root (root file with tree structure that contains track reconstruction efficiencies) ./analysis_100_40_10_mu.root (root file with tree structure that contains residuals and pool distribution) ./hitresiduals_layer_40_10_v02_SiD_100.root (root file that have layer residuals ) ./SiD_02_v01_10_10_85.slcio (slcio file that can be used as input for running Marlin) ./gear_sid.xml ( gear with detector specification that attached to the Marlin steering file) Then: mkdir build lib ( make directories) cd build/ cmake -DCMAKE_CXX_COMPILER=`which g++` -DCMAKE_C_COMPILER=`which gcc` \ -DILCUTIL_DIR=/cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/ilcutil/v01-03/ -C $ILCSOFT/ILCSoft.cmake .. make make install | |||||||
How to produce Hit residuals | ||||||||
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Revision 102016-10-19 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
| Line: 18 to 18 | ||||||||
| SiD detector mentioned above is the one of two detector concepts proposed for ILC. Below you can see layout of the detector. My thesis is focused mostly on the Tracker subsystem. Please refer to the report that will be attached later on for more details on it.
| ||||||||
| Added: | ||||||||
| > > | Generation/simulation chainPrior simulation of detector response of the SiD, we need to generate particles. In the simple case it can be running script that specifies PDG number of particle, 4 vector of particle and other usefull parameters.How to generate file with blank of particlesAssuming that you have installed lcgeo(linear collider geometry package). If not, follow instruction on https://twiki.ppe.gla.ac.uk/bin/view/LinearCollider/GlaSiDGettingStarted . On the fresh login to terminal execute :source /cvmfs/sft.cern.ch/lcg/releases/gcc/4.8.4/x86_64-slc6/setup.sh source /cvmfs/ilc.desy.de/sw/x86_64_gcc48_sl6/v01-17-10/init_ilcsoft.sh cd lcgeo/ python example/lcio_particle_gun.py (where you specify PDG and incident angle \theta and number of generated particles and other parameters) ddsim --compactFile=SiD/compact/SiD_o1_v01/SiD_o1_v03.xml --runType=batch --inputFile mcparticles.slcio -N=1 --outputFile=testSiD_o1_v03.slcio | |||||||
| Changed: | ||||||||
| < < | MC TruthTracking | |||||||
| > > | Digitization/reconstruction chainMC TruthTrackingAim of the MC(Monte Carlo) Truth Tracking is to get make sure that we can get sensible results from analysis of the data from the simulation/reconstruction chain.DefinitionsDescription of the reconstruction code, How to run it.How to produce Hit residualsHow to produce Hit pull distributions | |||||||
| Deleted: | ||||||||
| < < | Aim of the MC Truth Tracking is to get make sure that we can get sensible results from analysis of the data from the simulation/reconstruction chain. | |||||||
Below you can find Pulls distribution track parameters, which indicate good performance of the MC Truth Tracking:
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| Changed: | ||||||||
| < < | Pattern recognition | |||||||
| > > | How to produce track parameter resolutions (d_{0}, z_{0}, pt)How to produce Tracking efficienciesPattern recognition | |||||||
| Pattern recognition is a field of applied mathematics, which aim is the classification of objects. For instance, position measurements along particle trajectories can be classified as different physical objects. Please refer to the report that will be attached later on for more details on it. | ||||||||
| Added: | ||||||||
| > > | How to run Conformal tracking code | |||||||
Tracker optimization studies | ||||||||
Revision 92016-10-18 - DanProtopopescu
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
| Line: 25 to 32 | ||||||||
Pattern recognition is a field of applied mathematics, which aim is the classification of objects. For instance, position measurements along particle trajectories can be classified as different physical objects. Please refer to the report that will be attached later on for more details on it.
Tracker optimization studies | ||||||||
| Added: | ||||||||
| > > | ||||||||
The aim of the optimization studies is to optimize particularly, Tracking system for the best price/performance ratio. For example, We can look how each layer of tracker perform or how the tracking system perform with pixels versus performance with strips. For more details please refer to the report that will be attached latter on for more details on it.
Physics sensitivity studies | ||||||||
| Deleted: | ||||||||
| < < | Physics studies for SiD can be following : precise Higgs physics measurements or searches for new physics like composite Higgs models, top quarks physics.Please refer to the report that will be attached later on for more details on it. | |||||||
| Added: | ||||||||
| > > | Physics studies for SiD can be following: precise Higgs physics measurements or searches for new physics like composite Higgs models, top quarks physics.Please refer to the report that will be attached later on for more details on it. | |||||||
Marlin tips | ||||||||
Revision 82016-10-17 - BogdanMishchenko
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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| project focused on simulation, reconstruction, physics analysis of of the results Tracking system from SiD(Sillicon Detector). Below you can find link to the brief report on the progress: | ||||||||
| Changed: | ||||||||
| < < | ||||||||
| > > | SiD detector modelSiD detector mentioned above is the one of two detector concepts proposed for ILC. Below you can see layout of the detector. My thesis is focused mostly on the Tracker subsystem. Please refer to the report that will be attached later on for more details on it. | |||||||
MC TruthTrackingAim of the MC Truth Tracking is to get make sure that we can get sensible results from analysis of the data from the simulation/reconstruction chain. | ||||||||
| Line: 19 to 21 | ||||||||
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| Changed: | ||||||||
| < < | Pattern recognition (Conformal tracking ) | |||||||
| > > | Pattern recognitionPattern recognition is a field of applied mathematics, which aim is the classification of objects. For instance, position measurements along particle trajectories can be classified as different physical objects. Please refer to the report that will be attached later on for more details on it. | |||||||
Tracker optimization studies | ||||||||
| Changed: | ||||||||
| < < | ||||||||
| > > | The aim of the optimization studies is to optimize particularly, Tracking system for the best price/performance ratio. For example, We can look how each layer of tracker perform or how the tracking system perform with pixels versus performance with strips. For more details please refer to the report that will be attached latter on for more details on it. | |||||||
Physics sensitivity studies | ||||||||
| Added: | ||||||||
| > > | Physics studies for SiD can be following : precise Higgs physics measurements or searches for new physics like composite Higgs models, top quarks physics.Please refer to the report that will be attached later on for more details on it. | |||||||
Marlin tips | ||||||||
Revision 72016-10-17 - DanProtopopescu
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Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | ||||||||
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Physics sensitivity studies | ||||||||
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| > > | Marlin tips | |||||||
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| < < | ||||||||
| > > | For more options of running Marlin:
Marlin -? Particularly useful: Marlin -c SiDReconstruction_v03_160711.xml (check given steering file for consistency) | |||||||
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Revision 62016-10-13 - BogdanMishchenko
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| < < | Getting Started with Reconstruction for SiD(Sillicon Detector) Tracking system | |||||||
| > > | Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) " | |||||||
| Deleted: | ||||||||
| < < | Tracking system in SiD(Sillicon Detector) represented by such components: Main Tracker(all sillicon ), Vertex Detector, Forward Tracker. | |||||||
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| < < | Important version notes | |||||||
| > > | Project AimThe main aim of the project is the Physics sensitivity studies(Higgs physics, top quark Physics, beyond standart model physics) at future ILC(International Linear Collider). The project focused on simulation, reconstruction, physics analysis of of the results Tracking system from SiD(Sillicon Detector). Below you can find link to the brief report on the progress: | |||||||
| Deleted: | ||||||||
| < < | We are running on SL6 machines and haven't tried other architectures. Note that you must have cvmfs installed (ask your local sysadmin).
Latest update was on 5 Sept 16, using the latest ilcsoft release v01-17-10 for everything. | |||||||
| Added: | ||||||||
| > > | MC TruthTrackingAim of the MC Truth Tracking is to get make sure that we can get sensible results from analysis of the data from the simulation/reconstruction chain. Below you can find Pulls distribution track parameters, which indicate good performance of the MC Truth Tracking: | |||||||
| Changed: | ||||||||
| < < | Running simulation | |||||||
| > > |
| |||||||
| Changed: | ||||||||
| < < | Assuming you are in the lcgeo directory (else do cd ../), and that you have initialised your session as above, do
python example/lcio_particle_gun.py ddsim --compactFile=SiD/compact/SiD_o2_v01/SiD_o2_v01.xml --runType=batch --inputFile mcparticles.slcio -N=1 --outputFile=testSiD_o1_v03.slcio | |||||||
| > > | Pattern recognition (Conformal tracking ) | |||||||
| Added: | ||||||||
| > > | Tracker optimization studies | |||||||
| Deleted: | ||||||||
| < < | MC TruthTracking | |||||||
| Changed: | ||||||||
| < < | Visualizing the output using CED | |||||||
| > > | Physics sensitivity studies | |||||||
| Deleted: | ||||||||
| < < | Note that for the event display to work I had to ask my local sysadmin to install freeglut (e.g. for SLC6, freeglut-2.6.0-1.el6.x86_64) so that the library libglut.so was available. Point to a CED installation with glced:
export PATH=/cvmfs/ilc.desy.de/sw/x86_64_gcc44_sl6/CED/v01-09-02/bin/:$PATHA few extra parameters are missing from the SiD_o1_v03.xml in v01-17-10, so download and put the modified SiD_o1_v03a.xml attached to this page in your local lcgeo/SiD/compact/SiD_o1_v01/ directory.
You may need to make the following environment modification, depending on your local machine and how you connect to it:
unset LIBGL_ALWAYS_INDIRECTBelow you can see visualization of ttbar event: 
Running digitization and reconstructionUse the latest SiDReconstruction.xml attached to this twiki page. You also need to have the basic gear_sid.xml file in your directory. For example (assuming you are in thelcgeo directory):
wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/GlaSiDGettingStarted/SiDReconstruction_v03_160711.xml wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/GlaSiDGettingStarted/gear_sid.xmlOnce you've done this, and assuming you are still in the lcgeo directory, and you have initialised your session as above, run
Marlin SiDReconstruction_v03_160711.xmland this will produce a file named sitracks.slcio located in the current directory. | |||||||
| Deleted: | ||||||||
| < < | Pattern recognition (Conformal tracking ) | |||||||
| ||||||||
| Added: | ||||||||
| > > |
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Revision 52016-10-13 - DanProtopopescu
| Line: 1 to 1 | ||||||||
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| < < | ||||||||
Getting Started with Reconstruction for SiD(Sillicon Detector) Tracking system | ||||||||
| Changed: | ||||||||
| < < | Tracking system in SiD(Sillicon Detector) represented by such components: Main Tracker(all sillicon ), Vertex Detector, Forward Tracker. | |||||||
| > > | Tracking system in SiD(Sillicon Detector) represented by such components: Main Tracker(all sillicon ), Vertex Detector, Forward Tracker. | |||||||
| ||||||||
Revision 42016-10-11 - DanProtopopescu
| Line: 1 to 1 | ||||||||
|---|---|---|---|---|---|---|---|---|
| Deleted: | ||||||||
| < < | Title | |||||||
| Deleted: | ||||||||
| < < | Article text.
--  Bogdan Mishchenko - 2016-09-30
Comments | |||||||
Getting Started with Reconstruction for SiD(Sillicon Detector) Tracking systemTracking system in SiD(Sillicon Detector) represented by such components: Main Tracker(all sillicon ), Vertex Detector, Forward Tracker. | ||||||||
Revision 32016-10-11 - BogdanMishchenko
| Line: 1 to 1 | ||||||||
|---|---|---|---|---|---|---|---|---|
TitleArticle text. | ||||||||
| Line: 8 to 8 | ||||||||
Comments | ||||||||
| Added: | ||||||||
| > > | Getting Started with Reconstruction for SiD(Sillicon Detector) Tracking system | |||||||
| Changed: | ||||||||
| < < |  | |||||||
| > > | Tracking system in SiD(Sillicon Detector) represented by such components: Main Tracker(all sillicon ), Vertex Detector, Forward Tracker.
Important version notesWe are running on SL6 machines and haven't tried other architectures. Note that you must havecvmfs installed (ask your local sysadmin).
Latest update was on 5 Sept 16, using the latest ilcsoft release v01-17-10 for everything.
Running simulationAssuming you are in thelcgeo directory (else do cd ../), and that you have initialised your session as above, do
python example/lcio_particle_gun.py ddsim --compactFile=SiD/compact/SiD_o2_v01/SiD_o2_v01.xml --runType=batch --inputFile mcparticles.slcio -N=1 --outputFile=testSiD_o1_v03.slcio MC TruthTrackingVisualizing the output using CEDNote that for the event display to work I had to ask my local sysadmin to install freeglut (e.g. for SLC6,freeglut-2.6.0-1.el6.x86_64) so that the library libglut.so was available. Point to a CED installation with glced:
export PATH=/cvmfs/ilc.desy.de/sw/x86_64_gcc44_sl6/CED/v01-09-02/bin/:$PATHA few extra parameters are missing from the SiD_o1_v03.xml in v01-17-10, so download and put the modified SiD_o1_v03a.xml attached to this page in your local lcgeo/SiD/compact/SiD_o1_v01/ directory.
You may need to make the following environment modification, depending on your local machine and how you connect to it:
unset LIBGL_ALWAYS_INDIRECTBelow you can see visualization of ttbar event:
Running digitization and reconstructionUse the latest SiDReconstruction.xml attached to this twiki page. You also need to have the basic gear_sid.xml file in your directory. For example (assuming you are in thelcgeo directory):
wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/GlaSiDGettingStarted/SiDReconstruction_v03_160711.xml wget https://twiki.ppe.gla.ac.uk/pub/LinearCollider/GlaSiDGettingStarted/gear_sid.xmlOnce you've done this, and assuming you are still in the lcgeo directory, and you have initialised your session as above, run
Marlin SiDReconstruction_v03_160711.xmland this will produce a file named sitracks.slcio located in the current directory.
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