Parametric simulation

Talks

• Software meeting 2018-06-29, Friday, File:Sctau papas v2 20180629.pdf
• Workshop on future Super c-tau factories 2021-11-16 Parametric simulation of the SCT detector

SctParSim

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. More details are here

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.

How-to use the parametric simulation is demonstrated here

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

PAPAS (Old)

More details are here

About papas, heppy et cetra

Particle propagation is done by geometry calculation. To valid the calculation several different cases were plotted.

Helix.

Configure detector parameters

The detector parameters can be changed via a configuration file CTauPapas.cfg placed in the main papas simulation folder. The file has a simple structure --- one parameter and its value(s) per line. A parameter's name and value(s) should be separated by spaces. Empty lines and lines beginning with # are ignored.

In the example below the parameter at the first line is one number, while the parameter at the second line is an array.

ecal_emin_barrel 0.05

ecal_eres 1.34e-2 0.066e-2 0 0.82e-2

The parameters can be given in any order.

Configure detector parameters

The file ctau_input_sim.txt contains two lines. The first line is the path to a primary simulation file (see MC Data Sets page). The second line is an integer number of events to be processed.

How to run papas

Copy a directory with papas on stark the machine and go to this directory.

cd

cp -rf ~razuvaev/myheppy .

cd myheppy

There are a directory output for output files, detector configuration file CTauPapas.cfg, file ctau_input_sim.txt with a path to the file with primary generator events, and the folder heppy with heppy code itself. Let's go into it and tune environment.

cd heppy

source init.sh

Now it is time to run papas. You may be asked a question because the output directory is not empty. So just input y or clean the folder.

cd test

./heppy_loop.py ../../output/ ctau_cfg1.py

If it don't want to run try source ~razuvaev/.bashrc and source ../init.sh because it can be caused by the problem with environment variables.

When papas simulation has been done one need to present papas output to a suitable form and also add initial generator information.

cd ../../

./txt2tree.py

The output root tree is available in the file myheppy/output/txt2tree.root.

Output tree

The output tree contains branches which can be divided in several groups:

• reconstructed particle parameters;
• generated particle parameters;
• generated vertices;
• connection between reconstructed particles, generated particles and generated vertices.

The table below presents branches and description of their content.

Name	Type	Length	Description
Reconstructed particles
n	int	1	The number of reconstructed particles.
px	float []	n	The reconstructed particle momentum: x coordinate.
py	float []	n	The reconstructed particle momentum: y coordinate.
pz	float []	n	The reconstructed particle momentum: z coordinate.
Generated particles
n0	int	1	The number of generated particles.
px0	float []	n0	The generated particle momentum: x coordinate.
py0	float []	n0	The generated particle momentum: y coordinate.
pz0	float []	n0	The generated particle momentum: z coordinate.
Generated vertices
nv0	int	1	The number of generated vertices.
vx0	float []	nv0	The generated vertex: x coordinate.
vy0	float []	nv0	The generated vertex: y coordinate.
vz0	float []	nv0	The generated vertex: z coordinate.
Links
recgen	int []	n	Transform a reconstructed particle index to the generated particle index.
genver	int []	n0	Transform a generated particle index to the generated vertex index.

Analysis example

Here a short analysis example of $D^0 \to K_S^0 \pi^+ \pi^-$ is presented. The things are performed with PyROOT.

The data a taken from the available exclusive sample.

The code can be taken from github [1] or find at the stark cluster: /home/razuvaev/myheppy/search_dkspipi.py.

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  $K_S^0$ mass vs $D^0$ mass.

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  $D^0$ mass vs its momentum.