Baseline removal in spectrometry gamma by observation of local minima

Authors

  • Kélian This CEA
  • Laurent Le Brusquet Laboratoire des Signaux et des Systèmes, CentraleSupélec, Paris Saclay
  • Adrien Frigerio CEA
  • Sébastien Colas CEA
  • Pascal Bondon Laboratoire des Signaux et des Systèmes, CentraleSupélec, Paris Saclay

DOI:

https://doi.org/10.52846/stccj.2021.1.1.4

Keywords:

background removal, baseline correction, gamma spectrometry, continuum estimation, peak characterization, local minima

Abstract

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.

References

Bertrand P´erot, Fanny Jallu, Christian Passard, Olivier Gueton, Pierre-Guy Allinei, Laurent Loubet, Nicolas Estre, Eric Simon, C´edric Carasco, Christophe Roure, et al. The characterization of radioactive waste: a critical review of techniques implemented or under development at cea, france. EPJ Nuclear Sciences & Technologies, 4:3, 2018.

Gordon Gilmore. Practical Gamma-Ray Spectrometry. John Wiley & Sons, 2 edition, 2011.

Canberra. Genie2000 v3.1. Customization tools manual, 2006.

L´aszl´o Szentmikl´osi. Fitting special peak shapes of prompt gamma spectra. Journal of Radioanalytical and Nuclear Chemistry, 315(3):663–670, 2018.

Georg Schulze, Andrew Jirasek, ML Marcia, Arnel Lim, Robin FB Turner, and Michael W Blades. Investigation of selected baseline removal techniques as candidates for automated implementation. Applied spectroscopy, 59(5):545–574, 2005.

P Quittner. Peak area determination for ge (li) detector data. Nuclear Instruments and Methods, 76(1):115–124, 1969.

L Varnell and J Trischuk. A peak-fitting and calibration program for ge (li) detectors. Nuclear Instruments and Methods, 76(1):109–114, 1969.

Jorma T Routti and Stanley G Prussin. Photopeak method for the computer analysis of gamma-ray spectra from semiconductor detectors. Nuclear instruments and methods, 72(2):125–142, 1969.

Karsten Normann Thomsen, Jette Nørgaard Pedersen, and Niels Pind. Procedure for background estimation in energydispersive x-ray fluorescence spectra. Analytica chimica acta, 184:133–142, 1986.

Y Kawarasaki. A simple method for generation of backgroundfree gamma-ray spectra. Nuclear Instruments and Methods, 133(2):335–340, 1976.

HR Ralston and George E Wilcox. A computer method of peak area determinations from ge–li gamma spectra. Technical report, California Univ., Livermore. Lawrence Radiation Lab., 1968.

LV East, RL Phillips, and AR Strong. A fresh approach to nai scintillation detector spectrum analysis. Nuclear Instruments and Methods in Physics Research, 193(1-2):147–155, 1982.

SA Gerasimov. Recursive filtering of gamma ray spectra, volume 72. Elsevier, 1992.

Zhi-Min Zhang, Shan Chen, and Yi-Zeng Liang. Baseline correction using adaptive iteratively reweighted penalized least squares. Analyst, 135(5):1138–1146, 2010.

Georg Winter. Continuum estimation and peak analysis for inbeam gamma ray spectra. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 258(1):119–126, 1987.

W Von der Linden, V Dose, and R Fischer. How to separate the signal from the background,”. In MAXENT96-Proceedings of the Maximum Entropy Conference, page 146. Citeseer, 1996.

Andreas F Ruckstuhl, Matthew P Jacobson, Robert W Field, and James A Dodd. Baseline subtraction using robust local regression estimation. Journal of Quantitative Spectroscopy and Radiative Transfer, 68(2):179–193, 2001.

Roland Fischer, KM Hanson, V Dose, and W von Der Linden. Background estimation in experimental spectra. Physical Review E, 61(2):1152, 2000.

Vincent Mazet, C´edric Carteret, David Brie, J´erˆome Idier, and Bernard Humbert. Background removal from spectra by designing and minimising a non-quadratic cost function. Chemometrics and intelligent laboratory systems, 76(2):121–133, 2005.

Nikolaos Kourkoumelis, Alexandros Polymeros, and Margaret Tzaphlidou. Background estimation of biomedical raman spectra using a geometric approach. Spectroscopy: An International Journal, 27, 2012.

Zhong Li, De-Jian Zhan, Jia-Jun Wang, Jing Huang, Qing-Song Xu, Zhi-Min Zhang, Yi-Bao Zheng, Yi-Zeng Liang, and Hong Wang. Morphological weighted penalized least squares for background correction. Analyst, 138(16):4483–4492, 2013.

Xiaoran Ning, Ivan W Selesnick, and Laurent Duval. Chromatogram baseline estimation and denoising using sparsity (beads). Chemometrics and Intelligent Laboratory Systems, 139:156–167, 2014.

Kyle J Bilton, TH Joshi, MS Bandstra, JC Curtis, BJ Quiter, RJ Cooper, and K Vetter. Non-negative matrix factorization of gamma-ray spectra for background modeling, detection, and source identification. IEEE Transactions on Nuclear Science, 66(5):827–837, 2019.

T Inouye, T Harper, and NC Rasmussen. Application of fourier transforms to the analysis of spectral data. Nuclear Instruments and Methods, 67(1):125–132, 1969.

W Westmeier. Background subtraction in ge (li) gamma-ray spectra. Nuclear Instruments and Methods, 180(1):205–210, 1981.

TJ Kennett, WV Prestwich, and RJ Tervo. Automated analysis for high energy gamma ray spectra. Nuclear Instruments and Methods in Physics Research, 190(2):313–323, 1981.

RJ Tervo, TJ Kennett, and WV Prestwich. An automated background estimation procedure for gamma ray spectra. Nuclear Instruments and Methods in Physics Research, 216(1-2):205–218, 1983.

Miroslav Morh´aˇc. An algorithm for determination of peak regions and baseline elimination in spectroscopic data. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 600(2):478–487, 2009.

Miltiadis Alamaniotis, John Mattingly, and Lefteri H Tsoukalas. Kernel-based machine learning for background estimation of nai low-count gamma-ray spectra. IEEE Transactions on Nuclear Science, 60(3):2209–2221, 2013.

MA Mariscotti. A method for automatic identification of peaks in the presence of background and its application to spectrum analysis, volume 50. Elsevier, 1967.

ISO-19017:2015(en). Guidance for gamma spectrometry measurement of radioactive waste, 2015.

ASTM Standard et al. Standard test methods for detector calibration and analysis of radionuclides. 2011.

This K´elian, Laurent Le Brusquet, Frigerio Adrien, Colas S´ebastien, and Bondon Pascal. Contribution to continuum estimation in gamma spectrum by observation of local minima. In 2020 24th International Conference on System Theory, Control and Computing (ICSTCC), pages 937–942. IEEE, 2020.

Gilbert Saporta. Probabilit´es, analyse des donn´ees et statistique. Editions Technip, 2006.

Abraham Savitzky and Marcel JE Golay. Smoothing and differentiation of data by simplified least squares procedures. Analytical chemistry, 36(8):1627–1639, 1964.

Downloads

Published

2021-06-30

How to Cite

[1]
K. This, L. Le Brusquet, A. Frigerio, S. Colas, and P. Bondon, “Baseline removal in spectrometry gamma by observation of local minima”, Syst. Theor. Control Comput. J., vol. 1, no. 1, pp. 1–12, Jun. 2021, doi: 10.52846/stccj.2021.1.1.4.
Received 2021-03-24
Accepted 2021-06-24
Published 2021-06-30