A Comparative Study of Regression Methods for Solving the Timepix Calibration Task

In this article, we provide a study of the energy calibration model used for Timepix-type detectors. The Timepix detectors, operating in Time-over-Threshold mode, measure information that needs to be mapped into the corresponding energies using a non-linear function. We consider three iterative algorithms, Gradient-Descent, Gauss-Newton and Levenberg-Marquardt algorithm, which we modify according to the calibration model constraints to perform better in terms of the convergence properties. Moreover, based on the variable projection method, we suggest a partial linearization of the calibration problem and provide results for this novel method.

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Publication Details

Journal
Sensors
Published
2025-11-03
DOI
https://doi.org/10.3390/s25216714
Primary Topic
Particle Detector Development and Performance
Type
article
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article

A Comparative Study of Regression Methods for Solving the Timepix Calibration Task

Pavel Smrčka, Matěj Prokop, Jan Broulím, Libor Nouzák
Sensors
Particle Detector Development and Performance
article

A Comparative Study of Regression Methods for Solving the Timepix Calibration Task

Pavel Smrčka, Matěj Prokop, Jan Broulím, Libor Nouzák
article en

Abstract

In this article, we provide a study of the energy calibration model used for Timepix-type detectors. The Timepix detectors, operating in Time-over-Threshold mode, measure information that needs to be mapped into the corresponding energies using a non-linear function. We consider three iterative algorithms, Gradient-Descent, Gauss-Newton and Levenberg-Marquardt algorithm, which we modify according to the calibration model constraints to perform better in terms of the convergence properties. Moreover, based on the variable projection method, we suggest a partial linearization of the calibration problem and provide results for this novel method.

SensorsVol. 25(21)
Charles University (CZ), Czech Technical University in Prague (CZ)
Openalex Percentile: Top 85%
Particle Detector Development and Performance
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