Master by Research (MRes) project of Bogdan Mishchenko :"Simulation, reconstruction, Physics sensitivity studies for the SiD(Sillicon Detector) "

Project Aim

The 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:

SiD detector model

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.

SiD_layout.jpeg

Generation/simulation chain

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.

How to generate file with blank of particles

Assuming 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)
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

MC TruthTracking

Aim 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.

Definitions

Description of the reconstruction code, How to run it.

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
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  (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)
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 $ILCSOFT/ILCSoft.cmake ..
make 
make install
After successful compilation:
cd ..
export MARLIN_DLL=$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) 

How to produce Hit residuals

residuals_40_tracker_barrel.png

How to produce Hit pull distributions

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) ):

pull_residuals_40.jpg

How to produce Tracking efficiencies

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} ).

eff_versus_theta.png

How to produce track parameter resolutions (d_{0}, z_{0}, pt)

D0_resolution can be produced by running following script D0_resolution_angle.cxx:
D0_resolution_40_85_SiD_o1_v03_proper.png

Z0 resolution obtained using Z0resolution.cxx script


Z0_resolution_40_SiD_o1_v03.png

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:

Pt_resolution_40_properone.png

Pattern 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.

How to run Conformal tracking code

Tracker optimization studies

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

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

For more options of running Marlin:

Marlin -? 
Particularly useful:
Marlin -c SiDReconstruction_v03_160711.xml  (check given  steering file for consistency) 

Topic attachments
I Attachment History Action Size Date Who Comment
PDFpdf Brief_report.pdf r1 manage 41.2 K 2016-10-13 - 19:21 BogdanMishchenko This brief report on the progress
PNGpng D0_resolution.png r1 manage 19.8 K 2016-10-24 - 17:30 BogdanMishchenko D0_resolution
PNGpng D0_resolution_40_60_SiD_o1_v03.png r2 r1 manage 24.8 K 2016-11-05 - 12:07 BogdanMishchenko D0_resolution
PNGpng D0_resolution_40_85_SiD_o1_v03_proper.png r1 manage 25.4 K 2016-11-06 - 20:41 BogdanMishchenko D0 resolution 40 85 SiD_o1_v03
PNGpng D0_resolution_40_SiD_o1_v03_proper.png r1 manage 24.8 K 2016-11-06 - 00:12 BogdanMishchenko D0_resolution
PNGpng Pt_resolution_40_60_85_SiD_o1_v03_logx.png r4 r3 r2 r1 manage 30.4 K 2016-10-31 - 10:31 BogdanMishchenko This is Pt resolution obtained with SiD_o1_v03 model
PNGpng Pt_resolution_40_properone.png r1 manage 22.6 K 2016-11-06 - 00:17 BogdanMishchenko This is Pt resolution obtained with SiD_o1_v03 model
PNGpng Screenshot-20.png r1 manage 203.3 K 2016-10-11 - 10:41 BogdanMishchenko tt bar event
JPEGjpeg SiD_layout.jpeg r1 manage 83.4 K 2016-10-11 - 10:42 BogdanMishchenko Schematic view of SiD layout
Unknown file formatgz Tracking.tar.gz r3 r2 r1 manage 425.4 K 2016-11-05 - 11:44 BogdanMishchenko Reconstruction_code
PNGpng Z0_resolution.png r1 manage 19.6 K 2016-10-24 - 17:39 BogdanMishchenko z0_resolution
PNGpng Z0_resolution_40_SiD_o1_v03.png r1 manage 22.7 K 2016-11-06 - 22:17 BogdanMishchenko z0_resolution
Unknown file formatext d0_z0_DBR r1 manage 65.1 K 2016-10-24 - 17:36 BogdanMishchenko d0_from_DBR
PNGpng d0_z0_DBR.png r1 manage 65.1 K 2016-10-24 - 17:36 BogdanMishchenko d0_z0_DBR
PNGpng eff_versus_theta.png r1 manage 9.3 K 2016-11-05 - 14:52 BogdanMishchenko eff_versus_theta_SiD_o1_v03
PNGpng p_t_resolution_DBR.png r1 manage 72.1 K 2016-10-31 - 10:12 BogdanMishchenko p_t_resolution from DBD 2012
PNGpng pt_resolution_SiD_o1_v03_40_60.png r1 manage 24.6 K 2016-11-05 - 11:47 BogdanMishchenko This is Pt resolution obtained with SiD_o1_v03 model
JPEGjpg pull_residuals_40.jpg r1 manage 90.3 K 2016-10-13 - 19:43 BogdanMishchenko  
PNGpng residuals_40_tracker_barrel.png r1 manage 30.7 K 2016-10-20 - 14:41 BogdanMishchenko residuals_40_tracker
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Topic revision: r23 - 2016-11-07 - BogdanMishchenko
 
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