Monte Carlo modelling of pixel clusters in Timepix detectors using the MCNP code

Area of Science:

• Physics
• Radiation Detection
• Computational Science

Background:

• Semiconductor pixel detectors like Timepix3 are crucial for radiation detection.
• Understanding particle interactions within detectors is key for accurate measurements.
• Monte Carlo simulations offer a powerful tool for modeling complex physical processes.

Purpose of the Study:

• To develop a detailed pixel-level model of the Timepix3 detector in MCNP®.
• To simulate particle energy deposition, charge sharing, and drift processes.
• To create a method for analyzing detector response to various radiation types.

Main Methods:

• Utilized the Monte Carlo MCNP® code for detector simulation.
• Developed a detailed pixel-level model of the Timepix3 detector (256x256 pixels, 55x55 µm² pixel size).
• Applied an analytical model for charge sharing and detector energy resolution to simulated data.

Main Results:

• Generated and stored clusters of adjacent hit pixels based on simulated particle interactions.
• The model accurately represents charge sharing and drift effects within the detector.
• Simulated data provides insights into detector response characteristics.

Conclusions:

• The developed MCNP® model enables detailed analysis of Timepix3 detector signals.
• This method facilitates the sorting of measured clusters and identification of radiation components.
• It allows for the determination of detector response to specific particle types, energies, and angles, aiding in mixed-field analysis.