Parametric simulation

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==Talks==
 
==Talks==
  
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* Software meeting 2018-06-29, Friday, [[File:sctau_papas_v2_20180629.pdf]]
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* Software meeting 2018-06-29, Friday, [[File:sctau_papas_v2_20180629.pdf]] by '''Georgiy Razuvaev'''
 +
* Software meeting 2019-02-01 [[:Media:Sctau_papas_v3_20190201.pdf | Status of PAPAS]] by '''Georgiy Razuvaev'''
 +
* Software meeting 2019-08-09 [[:Media:Sctparsim_20190809.pdf | Super c-τ parametric simulation: Status]] by '''Georgiy Razuvaev'''
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* Software meeting 2019-12-27 [[:Media:SctParSim_status_20191127_Belozyorova.pdf | SctParSim: status and recent progress]] by '''Maria Belozyorova'''
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* Workshop on future Super c-tau factories 2021-11-16 [https://indico.inp.nsk.su/event/62/contributions/2315/ Parametric simulation of the SCT detector] by '''Maria Belozyorova'''
  
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= SctParSim (Aurora) =
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A parametric simulation is a tool to receive a detector response without detailed description of interaction of particles with matter. The simulation is the part of the Aurora project, which is a software suit for SCTF.
  
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==About papas, heppy et cetra==
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Implemented detector subsystems:
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* drift chamber
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* FARICH PID system
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* calorimeter
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* muon system
  
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Particle propagation is done by geometry calculation.
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The parametric simulation yields the detector response in the SCT EDM format thus allowing to analyze its result in the same manner as the result of the full simulation. The tracker and the calorimeter smear particle parameters according
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To valid the calculation several different cases were plotted.
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to a Gaussian distribution, while the FARICH PID and the muon subsystem use for that purpose the results of a pre-conducted standalone full Geant4 simulations.
  
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[[File:Tof_test_9k.png|thumb|center|alt=Helix.|Helix.]]
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'''More information about parameterization''' is presented [[SctParSim (Aurora)|here]].
  
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'''How-to use the parametric simulation''' is demonstrated [https://ctd.inp.nsk.su/wiki/index.php/SCT_parametric_simulation here]
  
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==How to run papas==
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= SctParSim (Python) =
  
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<code>
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This version of the parametric simulation had written in the Python language. The main difference is that this version has the ability to draw events.
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cd heppy
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source init.sh
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'''How to run and parameter description''' is [[SctParSim (python)|here]]
  
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cd test
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= PAPAS (Old) =
  
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./heppy_loop.py ../../output/ ctau_cfg1.py
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More details are [[SctparSim (PAPAS)|here]]
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./txt2rtee.py
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</code>
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==Output tree==
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The output tree contains branches which can be divided in several groups:
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* reconstructed particle parameters;
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* generated particle parameters;
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* generated vertices;
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* connection between reconstructed particles, generated particles and generated vertices.
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The table below presents branches and description of their content.
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{| class="wikitable"
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|-
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! Name
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! Type
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! Length
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! Description
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|-
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| colspan="4" style="text-align: center;" | Reconstructed particles
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|-
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| n
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| int
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| 1
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| The number of reconstructed particles.
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|-
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| px
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| float []
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| n
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| The reconstructed particle momentum: x coordinate.
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|-
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| py
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| float []
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| n
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| The reconstructed particle momentum: y coordinate.
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|-
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| pz
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| float []
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| n
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| The reconstructed particle momentum: z coordinate.
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|-
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| colspan="4" style="text-align: center;" | Generated particles
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|-
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| n0
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| int
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| 1
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| The number of generated particles.
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|-
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| px0
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| float []
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| n0
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| The generated particle momentum: x coordinate.
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|-
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| py0
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| float []
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| n0
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| The generated particle momentum: y coordinate.
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−
|-
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| pz0
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| float []
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| n0
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| The generated particle momentum: z coordinate.
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−
|-
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| colspan="4" style="text-align: center;" | Generated vertices
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|-
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| nv0
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| int
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| 1
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| The number of generated vertices.
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|-
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| vx0
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| float []
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| nv0
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| The generated vertex: x coordinate.
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|-
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| vy0
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| float []
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| nv0
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| The generated vertex: y coordinate.
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|-
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| vz0
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| float []
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| nv0
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| The generated vertex: z coordinate.
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|-
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| colspan="4" style="text-align: center;" | Links
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|-
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| recgen
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| int []
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| n
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| Transform a reconstructed particle index to the generated particle index.
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|-
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| genver
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| int []
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| n0
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| Transform a generated particle index to the generated vertex index.
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|}
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−
 
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==Analysis example==
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−
 
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Here a short analysis example of
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<math>D^0 \to K_S^0 \pi^+ \pi^-</math>
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is presented.
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The things are performed with PyROOT.
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The data a taken from the available
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[[MC_Data_Sets#Exclusive_samples|exclusive sample]].
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The code can be taken from github
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[https://github.com/lbrl/sctau_py/blob/master/search_dkspipi.py]
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or find at the stark cluster:
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''/home/razuvaev/myheppy/search_dkspipi.py''.
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<gallery>
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File:Dkspipi_mksmd0.png|alt=mksmd0.|<math>K_S^0</math> mass vs <math>D^0</math> mass.
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File:Dkspipi_md0pd0.png|alt=md0pd0.|<math>D^0</math> mass vs its momentum.
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</gallery>
+

Latest revision as of 15:03, 24 November 2021

Contents

[edit] Talks

[edit] SctParSim (Aurora)

A parametric simulation is a tool to receive a detector response without detailed description of interaction of particles with matter. The simulation is the part of the Aurora project, which is a software suit for SCTF.

Implemented detector subsystems:

  • drift chamber
  • FARICH PID system
  • calorimeter
  • muon system

The parametric simulation yields the detector response in the SCT EDM format thus allowing to analyze its result in the same manner as the result of the full simulation. The tracker and the calorimeter smear particle parameters according to a Gaussian distribution, while the FARICH PID and the muon subsystem use for that purpose the results of a pre-conducted standalone full Geant4 simulations.

More information about parameterization is presented here.

How-to use the parametric simulation is demonstrated here

[edit] SctParSim (Python)

This version of the parametric simulation had written in the Python language. The main difference is that this version has the ability to draw events.

How to run and parameter description is here

[edit] PAPAS (Old)

More details are here

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