Baseline removal in spectrometry gamma by observation of local minima

Kélian This (1) , Laurent Le Brusquet (2) , Adrien Frigerio (1) , Sébastien Colas (1) , Pascal Bondon (2)

1 CEA-DAM - Centre d'Études de Limeil-Valenton
2 L2S - Laboratoire des signaux et systèmes

This paper presents a Baseline Removal method in the context of spectrometry gamma. The method implements an estimator for the full continuum based on the observation of local minima. This estimator is constructed from the statistical properties of the signal and is therefore easily explainable. The method involves a limited number of fixed parameters, which allows the automation of the process. Moreover, the method is adaptable to any peaks width, which makes it suitable for both HPGe spectrometers and scintillators. Application to real gamma spectrometry measurements are presented, as well as a discussion about the choice of the parameters, for which an adjustment is proposed.

Domains: Santé publique et épidémiologie; Machine Learning [stat.ML]; Applications [stat.AP]; Modeling and Simulation; Operations Research [cs.RO]; Signal and Image Processing; Statistics [math.ST]

Kélian This, Laurent Le Brusquet, Adrien Frigerio, Sébastien Colas, Pascal Bondon. Baseline removal in spectrometry gamma by observation of local minima. System Theory, Control and Computing Journal, 2021, 1 (1), pp.1-12. ⟨10.52846/stccj.2021.1.1.4⟩. ⟨hal-03519883⟩