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Understanding the Nonlinear Response of SiPMs
Víctor Moya-Zamanillo1, Jaime Rosado1
1IPARCOS-UCM, Instituto de Física de Partículas y del Cosmos, and EMFTEL Department, Universidad Complutense de Madrid, E-28040 Madrid, Spain.
Sensors (Basel, Switzerland)
|April 27, 2024
Summary
This study used Monte Carlo simulations to analyze Silicon Photomultiplier (SiPM) nonlinearity. The findings reveal key dependencies and introduce models for accurate nonlinear response prediction.
Area of Science:
- Photonics and Detector Physics
- Computational Physics
Background:
- Silicon Photomultipliers (SiPMs) are crucial in various scientific applications requiring high sensitivity.
- Understanding SiPM nonlinear response is essential for accurate data acquisition.
Purpose of the Study:
- To systematically investigate the nonlinear response of SiPMs using Monte Carlo simulations.
- To identify and quantify the factors influencing SiPM nonlinearity.
- To develop predictive models for SiPM nonlinear behavior.
Main Methods:
- Monte Carlo (MC) simulations were employed to model SiPM behavior.
- The MC code was rigorously validated against experimental data from two distinct SiPMs.
- Phenomenological fitting models were developed for different light pulse shapes.
Main Results:
- SiPM nonlinearity is primarily governed by the interplay between photon rate and pixel recovery time.
- Factors such as light pulse shape, correlated noise, and readout impedance also influence nonlinearity.
- Correlated noise has a minor effect on nonlinearity but significantly impacts output current shape.
- Two phenomenological models accurately describe SiPM nonlinear responses for various pulse shapes.
Conclusions:
- The developed models offer a few-percent accuracy in describing SiPM nonlinear responses across diverse conditions.
- This work provides valuable insights for optimizing SiPM performance in experimental setups.
- The study enhances the understanding and predictability of SiPMs in scientific instrumentation.

