Simulation of losses in induced junction photodiodes with improved speed and uncertainty

Abstract

This thesis investigates fitting experimental data to simulations of induced junction photodiodes through one-dimensional (1D) model, focusing on optimizing both the speed of simulations and the accuracy of quantum efficiency predictions. Employing PC1D software, a widely recognized tool in photovoltaic research, the study analyzes the internal quantum deficiency (IQD) and supports real-time fitting evaluation of Predictable Quantum Efficiency Detectors (PQEDs). Induced junction photodiodes are pivotal in photometric applications due to their capacity to convert light into electrical signals with high precision. Central to the research is the exploration of how various device parameters, such as bulk lifetime, doping concentration, device area, fixed surface charge, and surface recombination velocity affect the correlation between simulation outputs and experimental measurements of PQEDs. By systematically varying these parameters within the PC1D simulation environment, coupled with detailed analyses conducted using Python, the study uncovers critical insights into the photodiodes’ behaviour under different operational conditions. The findings demonstrate that even subtle modifications in these parameters can significantly impact the quantum efficiency and operational speed of the photodiodes. For instance, optimized doping concentrating, bulk lifetime recombination and carefully tailored surface recombination velocities not only improve the accuracy of the quantum efficiency predictions but also reduce the uncertainties associated with these estimations. This research underscores the critical role of precise parameter control in PQEDs for applications demanding high precision. In summary, this research not only furthers our understanding of induced junction photodiodes through simulation techniques but also enhances the predictability and efficiency of these devices in practical appplications

This thesis focuses on the fitting characteristics of induced junction photodiodes through the application of one-dimensional simulations with experimental data. Employing PC1D software, the study examines the impact of device parameters—such as bulk lifetime, device area, fixed surface charge, doping concentration, and surface recombination velocity—on the internal quantum efficiency(IQD) of Predictable Quantum Efficiency Detectors (PQEDs). By methodically varying these parameters, the research aims to improve the predictability and accuracy of photodiode quantum efficiency across different operational conditions with improved speed using PC1D. Introduction: The introduction underlines the critical need for accurate quantum efficiency measurements in photometric applications and introduces PC1D software for efficient onedimensional simulations. These simulations provide faster outputs than traditional threedimensional models, making them highly suitable for real-time performance analysis. Theory: A robust theoretical framework discusses the fundamental aspects of semiconductor physics, detailing charge carrier dynamics and p-n junction behavior. The thesis delves into various photodiode designs, focusing on conventional and PQED photodiodes, and explores the internal quantum deficiency (IQD) critical to understanding photodiode functionality. It underlines the theoretical basis for varying parameters in the PQED using the PC1D. Methodology: The methodology outlines the use of PC1D for simulating photodiode characteristics and describes how adjustments to key parameters were made to align simulations with experimental data. This approach facilitates a deep understanding of how different variables influence photodiode fitting criteria between simulations and experimental data. Results and Discussion: The results validate the simulation techniques used, showing that precise parameter adjustments can significantly enhance photodiode fitting criteria and quantum efficiency. The discussion ties these results back to the theoretical framework, emphasizing the practical implications for photodiode design and application. Conclusions and Outlook: The thesis concludes that one-dimensional simulations are vital tools for optimizing fitting simulations with experimental data, particularly in improving the speed and accuracy of quantum efficiency predictions. Contributions: The research contributes significantly to the field of photonics, particularly in enhancing photodiode technology. It demonstrates how advanced simulation techniques can be leveraged to develop photodiodes with higher predictability and improved speed