Fast Digital Filtering of Spectrometric Data for Pile-up Correction

T Trigano (1) , Eric Barat (2) , Thomas Dautremer (2) , Thierry Montagu (2)

1 College of Electrical Engineering
2 LOAD (CEA, LIST) - Laboratoire Outils d'Analyse des Données (CEA, LIST)

This paper considers a problem stemming from the analysis of spectrometric data. When performing experiments on highly radioactive matter, electrical pulses recorded by the spectrometer tend to overlap, thus yielding severe distortions when computing the histogram of the pulses' energies. In this paper, we propose a fast recursive algorithm which estimates efficiently this histogram from measurements of the duration and energies of overlapping pulses. Its good performances are shown both on simulations and real data. Furthermore, its lower algorithmic complexity makes it more fitting for real-time implementation.

Mots clés: Nonlinear inverse problem; digital signal processing; signal restoration and enhancement; pile-up correction; gamma spectrometry; signal processing; spectrum analysis; spectrometry

Domaines: Traitement du signal et de l'image [eess.SP]; Statistiques [stat]; Applications [stat.AP]; Physique Nucléaire Expérimentale [nucl-ex]

T Trigano, Eric Barat, Thomas Dautremer, Thierry Montagu. Fast Digital Filtering of Spectrometric Data for Pile-up Correction. IEEE Signal Processing Letters, 2014, 22 (7), pp.973-977. ⟨10.1109/LSP.2014.2377352⟩. ⟨cea-01158652⟩