geant 4 simulation of energy deposited in kascade-grande detectors

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GEANT 4 simulation of energy deposited in KASCADE-Grande detectors , , , , arpathian Summer School of Physics 2012 Department of Physics, University of Bucharest, Bucharest, Romania National Institute of Physics and Nuclear Engineering, Bucharest, R

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GEANT 4 simulation of energy deposited in KASCADE-Grande detectors. , , , ,. Department of Physics, University of Bucharest, Bucharest, Romania National Institute of Physics and Nuclear Engineering, Bucharest, Romania. Carpathian Summer School of Physics 2012. Contents:. Motivation - PowerPoint PPT Presentation

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Page 1: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

GEANT 4 simulation of energy deposited in KASCADE-Grande

detectors

, , , ,

Carpathian Summer School of Physics 2012

Department of Physics, University of Bucharest, Bucharest, Romania National Institute of Physics and Nuclear Engineering, Bucharest, Romania

Page 2: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

Contents:

1. Motivation2. KASCADE-Grande experiment3. Grande detector station4. Geant4 simulation of the energy deposit spectrum5. Parameterization of the energy deposit spectrum6. Conclusions, remarks and perspectives

Page 3: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

1. Motivation

The study of cosmic rays aims to determine as precise as possible the type, energy and angle of incidence of the primary cosmic radiation. This can be done by determining the particle densities at ground level, in this case by estimating the energy deposited in the scintillators.

Energy deposition spectrum depends only on the particle type, angle of incidence and secondary particle energy (independent on the EAS development).

A GEANT simulation for the interaction between all the secondary particles and the detectors will take a huge amount of time(for each EAS observed)!

A parameterization of the energy deposit can speed up the process (if it can be done precisely).

Page 4: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

KASCADE-Grande experiment setup

2. KASCADE-Grande experiment

Page 5: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

3. Grande detector station

Picture of a Grande station Schematic representation of the 16 detectors inside

Page 6: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

Geant4 simulation of a Grande station

3. Grande detector station

Walls: 3935 X 4502 X 2216 Wall thickness: 1.73 mm Box: 900 x 900 x 50 mmPyramide: 900 x 900 mm base: 300 mm high- wall thickness: 1 mm (steel)

Scintilator : 80 x 80 x4 cm Polyviniltoluene

Page 7: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

4. Geant4 simulation of the energy deposit spectrum

Simulation of the Energy deposition spectrum for the most common particles in EAS

Page 8: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

4. Geant4 simulation of the energy deposit spectrum

Page 9: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

4. Geant4 simulation of the energy deposit spectrum

Page 10: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

4. Geant4 simulation of the energy deposit spectrum

Page 11: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

4. Geant4 simulation of the energy deposit spectrum

Page 12: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

5. Parameterization of the energy deposit spectrum

Page 13: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

5. Parameterization of the energy deposit spectrum

Example of Landau fit over the main peak ( 500 GeV, 0°-70°)

Page 14: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

6. Conclusions, remarks and perspectivesVariation of the σ parameter of the main Landau distribution with the energy and angle of the incident muons.

Page 15: GEANT 4 simulation of energy deposited in KASCADE-Grande detectors

6. Conclusions, remarks and perspectives

• The energy deposition spectrum can be deconstructed in simple distributions (Exponential, Landau, Gauss etc.).

• This procedure has been done before using GEANT3 and without taking into consideration the concrete floor of the station.

• A fast Monte Carlo simulation can be done after the variation of all the parameters of the energy deposition spectrum are known.

• This method will be 100-1000 times faster than a GEANT simulation, so the energy deposited in the detectors can be computed for all the secondary particles generated in a EAS that reach the ground.