(r25) SiDTrackingEfficiencies < LinearCollider

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


%TOC%

---+++ 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:

   * [[%PUBURLPATH%/%WEB%/%TOPIC%/Brief_report.pdf][Brief_report.pdf]]

---++ 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.

     <img src="%PUBURLPATH%/%WEB%/%TOPIC%/SiD_layout.jpeg" alt="SiD_layout.jpeg" width="900" height="498" />
---++ 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 :
<verbatim>
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 )
</verbatim>

---++ 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:
<verbatim>
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) 
</verbatim>


---++++ How to produce  Hit residuals

<img src="%PUBURLPATH%/%WEB%/%TOPIC%//residuals_40_tracker_barrel.png" alt="residuals_40_tracker_barrel.png" width="1099" height="833" /> 

---++++ How to produce  Hit pull distributions 
<verbatim>
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
</verbatim>
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) ): 

<img src="%PUBURLPATH%/%WEB%/%TOPIC%//pull_residuals_40.jpg" alt="pull_residuals_40.jpg" width="1099" height="833" /> 


---++++  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} ).

   <img src="%PUBURLPATH%/%WEB%/%TOPIC%/eff_versus_theta.png" alt="eff_versus_theta.png" width="974" height="491" />

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

D0_resolution can be produced by running following script D0_resolution_angle.cxx: <br />
     <img src="%PUBURLPATH%/%WEB%/%TOPIC%/D0_resolution_40_85_SiD_o1_v03_proper.png" alt="D0_resolution_40_85_SiD_o1_v03_proper.png" width="974" height="491" />


Z0 resolution obtained using Z0resolution.cxx script

 <br />
     <img src="%PUBURLPATH%/%WEB%/%TOPIC%/Z0_resolution_40_SiD_o1_v03.png" alt="Z0_resolution_40_SiD_o1_v03.png" width="974" height="491" />

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: <br />

     <img src="%PUBURLPATH%/%WEB%/%TOPIC%/Pt_resolution_40_properone.png" alt="Pt_resolution_40_properone.png" width="974" height="491" />





---+++ 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: 
<verbatim>
Marlin -? 
Particularly useful:
Marlin -c SiDReconstruction_v03_160711.xml  (check given  steering file for consistency) 
</verbatim>

Attachments

Topic attachments
I	Attachment	History	Action	Size	Date	Who	Comment
pdf	Brief_report.pdf	r1	manage	41.2 K	2016-10-13 - 19:21	BogdanMishchenko	This brief report on the progress
png	D0_resolution.png	r1	manage	19.8 K	2016-10-24 - 17:30	BogdanMishchenko	D0_resolution
png	D0_resolution_40_60_SiD_o1_v03.png	r2 r1	manage	24.8 K	2016-11-05 - 12:07	BogdanMishchenko	D0_resolution
png	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
png	D0_resolution_40_SiD_o1_v03_proper.png	r1	manage	24.8 K	2016-11-06 - 00:12	BogdanMishchenko	D0_resolution
pdf	LC-DET-2006-004.pdf	r1	manage	95.3 K	2016-11-09 - 20:23	BogdanMishchenko	linear collider parametrization
png	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
png	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
png	Screenshot-20.png	r1	manage	203.3 K	2016-10-11 - 10:41	BogdanMishchenko	tt bar event
jpeg	SiD_layout.jpeg	r1	manage	83.4 K	2016-10-11 - 10:42	BogdanMishchenko	Schematic view of SiD layout
gz	Tracking.tar.gz	r3 r2 r1	manage	425.4 K	2016-11-05 - 11:44	BogdanMishchenko	Reconstruction_code
png	Z0_resolution.png	r1	manage	19.6 K	2016-10-24 - 17:39	BogdanMishchenko	z0_resolution
png	Z0_resolution_40_SiD_o1_v03.png	r1	manage	22.7 K	2016-11-06 - 22:17	BogdanMishchenko	z0_resolution
ext	d0_z0_DBR	r1	manage	65.1 K	2016-10-24 - 17:36	BogdanMishchenko	d0_from_DBR
png	d0_z0_DBR.png	r1	manage	65.1 K	2016-10-24 - 17:36	BogdanMishchenko	d0_z0_DBR
png	eff_versus_theta.png	r2 r1	manage	22.2 K	2016-11-07 - 19:56	BogdanMishchenko	eff_versus_theta_SiD_o1_v03
png	p_t_resolution_DBR.png	r1	manage	72.1 K	2016-10-31 - 10:12	BogdanMishchenko	p_t_resolution from DBD 2012
png	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
jpg	pull_residuals_40.jpg	r1	manage	90.3 K	2016-10-13 - 19:43	BogdanMishchenko
png	residuals_40_tracker_barrel.png	r1	manage	30.7 K	2016-10-20 - 14:41	BogdanMishchenko	residuals_40_tracker

Topic revision: r25 - 2016-11-09 - BogdanMishchenko

LinearCollider