In this study it is developed a model for the detailed and automatic study of the alpha-particle spectra coming from detection systems. The fitting of a typical shape of the alpha peak is performed by a Gaussian function for the right side of the peak and a sum of two Gaussian functions for its left tail. The model takes into account the entire spectrum background and, particular attention is posed to the analysis of overlapped peaks, background noise and peaks with low statistic counting. The effectiveness of the proposed model is supported by several tests
The peak shapes of gamma-rays at various energies must be known before unfolding the multiplet spect...
Analytical techniques have been used for many years for fitting Gaussian peaks in nuclear spectrosco...
Based on the ripple analysis model outlined in Part I of this paper, predictions are made for the de...
In this study it is developed a model for the detailed and automatic study of the alpha-particle spe...
Peak overlap is a recurrent issue ina lpha-particle spectrometry, not only in routine analyses but a...
The ability to detect airborne alpha particles in real time could greatly enhance the safety of work...
Alpha spectrum measurement is one of the most important methods to measure radon progeny concentrati...
The variances and covariances of optimized peak fit parameters are used to determine the uncertainty...
The paper contains a description of a method for the analysis of the complex alpha spectra generated...
A complete and detailed analysis of alpha spectra from the (222)Rn and (220)Rn progenies was perform...
Spherical particles with known properties were used to demonstrate and test a novel software package...
A function based on the characteristics of the alpha-particle lines obtained with silicon semiconduc...
An alpha spectrometer including a semi-conductor detector is commonly used for measurements of the e...
ABSTRACT. This paper is devoted to the problem of radionuclide identification in multilabel samples ...
We studied a peak-shape function given by the convolution of a Gaussian term and a weighted sum of l...
The peak shapes of gamma-rays at various energies must be known before unfolding the multiplet spect...
Analytical techniques have been used for many years for fitting Gaussian peaks in nuclear spectrosco...
Based on the ripple analysis model outlined in Part I of this paper, predictions are made for the de...
In this study it is developed a model for the detailed and automatic study of the alpha-particle spe...
Peak overlap is a recurrent issue ina lpha-particle spectrometry, not only in routine analyses but a...
The ability to detect airborne alpha particles in real time could greatly enhance the safety of work...
Alpha spectrum measurement is one of the most important methods to measure radon progeny concentrati...
The variances and covariances of optimized peak fit parameters are used to determine the uncertainty...
The paper contains a description of a method for the analysis of the complex alpha spectra generated...
A complete and detailed analysis of alpha spectra from the (222)Rn and (220)Rn progenies was perform...
Spherical particles with known properties were used to demonstrate and test a novel software package...
A function based on the characteristics of the alpha-particle lines obtained with silicon semiconduc...
An alpha spectrometer including a semi-conductor detector is commonly used for measurements of the e...
ABSTRACT. This paper is devoted to the problem of radionuclide identification in multilabel samples ...
We studied a peak-shape function given by the convolution of a Gaussian term and a weighted sum of l...
The peak shapes of gamma-rays at various energies must be known before unfolding the multiplet spect...
Analytical techniques have been used for many years for fitting Gaussian peaks in nuclear spectrosco...
Based on the ripple analysis model outlined in Part I of this paper, predictions are made for the de...