DT2, a PIXE spectra simulation and fitting package

Reis, M.A.; Chaves, P.C.; Alves, L.C.; Barradas, N.P.

doi:10.1002/xrs.1027

Cited by 16 publications

(20 citation statements)

References 9 publications

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“…Similar descriptions have been used to fit proton induced X-ray emission (PIXE) spectra. [23,24] Attempts were made to assign a physical meaning to the rather empirical parts of the Hypermet function. It has six or seven free parameters at each given photon energy for the fit to measured response functions.…”

Section: Discussionmentioning

confidence: 99%

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Modelling the response function of energy dispersive X‐ray spectrometers with silicon detectors

2009

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A new, analytical description of the physical processes determining the spectral response of an energy dispersive X-ray spectrometer with a silicon detector (Si(Li) or silicon drift detector (SDD)) is presented. The model considers the detector statistical noise, the electronic noise, the incomplete charge collection (ICC) that gives rise to the peak tailing, the escape effect, the fluorescence of the front contact or the dead layer and hot photoelectrons that cause the shelf. Only five free parameters are necessary to model the response function: the electronic noise, three parameters describing the shape of the charge collection efficiency beneath the front contact and the thickness of the detector front layer. Once the five parameters are adjusted to have agreement between a measured and a calculated response function, the response function can be calculated for any other photon energy in the range from 0.1 keV to 30 keV.The algorithm is implemented in IDL and MATLAB and is available also as MATLAB stand-alone program. It enables the determination of the optimum parameter set by fitting a calculated response function to a measured one for monochromatic radiation. A (m,n)-type matrix can be calculated whereby m represents the number of channels for the response function and n the number of photon energies in the selected range. The matrix can be used to convolute a calculated spectrum for comparison with a measured one.The calculated response functions are in agreement with the pulse height distributions measured with monochromatic synchrotron radiation in the energy range from 0.1 keV to 10 keV for three spectrometers with detector crystals different in construction. It is shown that the improved description of the detector response enables the detection of minor components of characteristic lines in fluorescence spectra, which have been attributed earlier to the detector.

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Section: Discussionmentioning

confidence: 99%

“…Campbell et al [24] have discussed in detail the satellite peaks in the tail range of a 55 Fe spectrum. Figure 9 shows the 55 Fe spectrum measured with the Si(Li) with the Au front contact together with a calculated Mn-K response.…”

Section: Discussionmentioning

confidence: 99%

Modelling the response function of energy dispersive X‐ray spectrometers with silicon detectors

2009

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“…High statistics spectra were collected (roughly 200 000 counts in the L α ) for proton energies from 700 keV to 1450 keV in steps of 50 keV, and for 1700 keV and 1950 keV. Spectra deconvolution was carried out using the new DT2 program fitting core [23]. This includes a Bayesian inference algorithm by Barradas [24], for determination of the error levels associated to the fitted line areas.…”

Section: Methodsmentioning

confidence: 99%

L X-Rays RYIED Oscillations and Proton-NMRD of Gd₂O₃ Nanoparticles

Taborda

Reis

Chaves

et al. 2011

Physics Research International

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Recently, it was shown that relative yields of X-rays induced by ion impact are not constant but depend on beam energy. In the framework of this problem, pellets of Gd 2 O 3 and a Gd chelate, Gd-DOTA, as well as a 5 nm in diameter Gd 2 O 3 nanoparticles dispersion on a polycarbonate Nuclepore filter, were studied. In this work, it is shown that after subtraction of known matrix effects, relative yield variations still present different patterns for Gd 2 O 3 pellet and Gd 2 O 3 nanoparticles. Proton NMRD T 1 (ω) data for Gd 2 O 3 nanoparticles and Gd-DOTA water solutions published by Bridot et al. and Toth et al., respectively, were reproduced using a model for paramagnetic substances in water solutions and identical electronic relaxation times. The analysis of both techniques results points collective electron behaviour as the explanation for the different observations on X-ray data of Gd 2 O 3 nanoparticles and bulk material.

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“…Spectrum was fitted using DT2fit code. [33] The details on the peak tails and escape peaks can also be seen. L b group details can also be observed in the lower figure where fitting residuals is also presented.…”

Section: Spectra Fitmentioning

confidence: 98%

“…where m p is the incident particle mass, m e the electron mass, E p the beam energy of the incident particles, I abs the energy of Table 2. W L X-ray lines used in the DT2fit input model [33] Siegbahn IUPAC Wave function Energy (keV) Fit X-ray lines are described using the Siegbahn notation, the IUPAC notation and the electron wave function transition. [44] The corresponding energy of the X-ray lines was obtained from Zschornack.…”

Section: Reduced Collision Timementioning

confidence: 99%

H⁺ and He^2 + induced W L X‐rays intensity ratios: part I, Si(Li) data and EDS high resolution insight

et al. 2013

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Recently, the authors have presented experimental evidences that for some energy windows, proton-induced W L shell X-rays intensity ratios of transitions to L 1 subshell depend on the ion beam energy and on the chemical species even after known matrix effects are subtracted. These results, which put in question the assumption of the invariance of the relative intensity of X-ray transitions to the same atomic subshells, are further exploited in this work, where more data for three different W compounds (W, Li 2 WO 4 and P 2 O 5 .24WO 3 .xH 2 O) are presented followed by a detailed study using an ultra-pure (99.995%) W thick foil, used to avoid any possible target contamination interference on the results. Samples were irradiated by H + beams in various conditions in the energy range between 0.25 and 2.38 MeV and by He 2 + beams having energies between 3.5 and 5.0 MeV. Spectra were collected using the Si(Li) detector at CTN 2.5 MV Van de Graaff standard Proton-Induced X-ray Emission (PIXE) set-up as well as using the Energy Dispersive Spectrometry (EDS) high resolution X-ray microcalorimeter spectrometer (XMS) at CTN 3.0 MV Tandetron accelerator high resolution high energy (HRHE) PIXE end station. Results were normalized to the theoretical intensity ratios and plotted as function of the ratio of collision characteristic times allowing the comparison of H + and He 2 + results. W L X-rays intensity ratio variations are presented and compared with theoretical expected results. Radiative Auger emission transitions observed in an EDS high resolution XMS spectra are shown to probably play a crucial role in the highly unexpected results obtained for intensity ratios of transitions to the same subshell.

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DT2, a PIXE spectra simulation and fitting package

Cited by 16 publications

References 9 publications

Modelling the response function of energy dispersive X‐ray spectrometers with silicon detectors

Modelling the response function of energy dispersive X‐ray spectrometers with silicon detectors

L X-Rays RYIED Oscillations and Proton-NMRD of Gd₂O₃ Nanoparticles

H⁺ and He^2 + induced W L X‐rays intensity ratios: part I, Si(Li) data and EDS high resolution insight

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DT2, a PIXE spectra simulation and fitting package

Cited by 16 publications

References 9 publications

Modelling the response function of energy dispersive X‐ray spectrometers with silicon detectors

Modelling the response function of energy dispersive X‐ray spectrometers with silicon detectors

L X-Rays RYIED Oscillations and Proton-NMRD of Gd2O3 Nanoparticles

H+ and He2 + induced W L X‐rays intensity ratios: part I, Si(Li) data and EDS high resolution insight

Contact Info

Product

Resources

About

L X-Rays RYIED Oscillations and Proton-NMRD of Gd₂O₃ Nanoparticles

H⁺ and He^2 + induced W L X‐rays intensity ratios: part I, Si(Li) data and EDS high resolution insight