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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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An automated programme for the optimisation of HPGe detector parameters using an evolutionary algorithm with

N M Murphy1, L León Vintró2, C I Burbidge3

  • 1School of Physics, University College Dublin, Belfield, Dublin 4, Ireland; Office of Radiation Protection and Environmental Monitoring, Environmental Protection Agency, 3 Clonskeagh Square, Dublin 14, Ireland.

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Summary
This summary is machine-generated.

We developed an automated program using GESPECOR software for optimized modeling of HPGe detectors. This tool accurately simulates detector performance without user input, improving efficiency curve analysis.

Keywords:
Detector optimisationGESPECORHPGe detectorMonte Carlo

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Area of Science:

  • Nuclear instrumentation
  • Computational physics
  • Gamma-ray spectrometry

Background:

  • High-purity germanium (HPGe) detectors are crucial for gamma-ray spectroscopy.
  • Accurate detector modeling is essential for precise quantitative analysis.
  • Current modeling methods can be complex and time-consuming.

Purpose of the Study:

  • To develop an automated, user-friendly program for optimizing HPGe detector models.
  • To integrate Monte Carlo simulations with optimization algorithms for enhanced accuracy.
  • To reduce user intervention in the detector modeling process.

Main Methods:

  • Utilized GESPECOR gamma spectrometry software for Monte Carlo simulations.
  • Developed an automated program incorporating optimization algorithms.
  • Employed multiple experimental Full Energy Peak (FEP) efficiency curves for parameter optimization.

Main Results:

  • Successfully created an optimized model of an HPGe detector.
  • The automated program demonstrated capability for simultaneous use of multiple FEP efficiency curves.
  • Achieved accurate and robust detector models through the implemented approach.

Conclusions:

  • The developed automated program provides an efficient and accurate method for HPGe detector modeling.
  • This approach simplifies the complex process of detector simulation and optimization.
  • The findings support the use of automated, simulation-based methods in nuclear spectroscopy.