EMILIA, the LS counting efficiency for electron-capture and capture-gamma emitters☆
Introduction
The electron-capture nuclides have extensively been applied in fields that apparently have not very much to do such as radiobiology [1], [2], medicine diagnostics [3], [4], radiotherapy [5], [6] or astrophysics [7], [8]. However, the applicability of the radioisotopes to these disciplines frequently makes necessary to get standardized samples with uncertainties of less than 2%. The CIEMAT/NIST method [9], [10] is a tracing activity measurement method suitable for pure β [11], [12], [13], β-γ [14], [15], [16], pure EC [17], [18], [19] and EC-γ [20], [21], [22] radionuclides. The standardizations are carried out in a commercial liquid-scintillation spectrometer with two photomultipliers in coincidence. The spectrometer is calibrated for a set of samples of the tracer nuclide (usually 3H), and the relationship between the efficiencies of the tracer and the nuclide is computed from the energy distributions of the emitted particles. Also we assume that the generation of photoelectrons at the output of the photocathode follows the Poisson law. Although many laboratories apply the CIEMAT/NIST method to standardize β-ray emitters, a widespread use of the method has not been reached for EC nuclides, due to the uncertainties observed for certain nuclides.
Three different atomic rearrangement models have been proposed to simulate the spectrometer response to EC nuclides. The usual KLM model considers atoms with only three shells, where the energies of the three Li subshells and the five Mi subshells are averaged to L- and M-shells, respectively. Some examples of codes that apply the three-shell model are: VIASKL [23] and EMI [24]. Since the KLM model does not include Coster–Kronig or Auger transitions from M-shell, its application is only recommended for EC-emitters of low atomic numbers. The second available atomic model, more suitable for heavy nuclides, includes the four shells KLMN. The addition of the N-shell to the atom structure may look apparently trivial, but the KLMN model generates 262 different pathways of atomic rearrangement [25]. The third available atomic model includes the three L-subshells, which increase considerably the number of possible pathways of atomic rearrangement, but have the advantage of making unnecessary averaged values for the L-fluorescence yields or for the KLiLj Auger electron energies. Also this model contemplates the Coster–Kronig emissions in a natural way [26]. However, the accuracy of the model has shown to be inadequate for nuclides with atomic numbers within the interval [21]. The program EMILIA makes possible to select any of the three atomic rearrangement models.
As we mentioned above, the basic improvement of this version consists of modeling the non-linear response of the detector to the photoionization process. For typical scintillators such as toluene or Hisafe, the lack of the photoelectric correction generates an overestimation of 1% in the counting efficiency for 55Fe. However, that is not the case for the commercial scintillator cocktails: Ultima-Gold and Insta-Gel, for which the non-linear effects in the detection of photoionization generate discrepancies greater than 3% with experiment [27].
One relevant aspect of this version is the computation of the ionization quench function. The structure of the function Q(E) of earlier versions [23], [24] is maintained, but two new options for the numerical integration of the Birks function [28] are added. The first option interpolates the mass collision stopping power in a table. The second applies the Bethe theory to compute the mass collision stopping power from the stoichiometric formula and the mean excitation energies of the component elements [29].
One special feature now included in EMILIA consists of the computation of the counting efficiency for the tracer (i.e., 3H) for the ionization quench function utilized for the nuclide. The successive versions of the programs EFFY [30], EMI [24] and EMI2 [26] apply different Q(E) functions, forcing the current users of the programs to modify this function, and maintain the requirement of identical ionization quench function for the nuclide and the tracer. This inconvenience has conveniently been corrected in this version.
Since the use of quenchers, e.g., carbon tetrachloride, or large volumes of aqueous solutions can modify the measured values of the counting efficiency [31], the program includes one option for allowing the addition of extra components. Two or more additional compounds can be simulated, making this option specially suitable for liquid-scintillation gel samples in which water, chloridric acid and carbon tetrachloride are incorporated to the cocktail in different concentrations.
The detailed analysis of the reliability of the atomic rearrangement models makes necessary to evaluate the influence of the atomic an nuclear parameters on the computed counting efficiency. This version allows the user to find how a 5% uncertainty in the input data is transmitted to the counting efficiency, and determine which parameters mainly contribute to efficiency as the atomic number Z increases [21].
Section snippets
Description of the method
The splitting of the photoionization reduced energy into their components may reproduce conveniently the non-linear effects due to ionization quenching, but complicates the detection model considerably. The previous versions of the program considered the product to obtain the reduced energies resulting from the photoelectric interaction of the low-energy X-rays with the scintillator. To correct the non-linear effects in the detection of the photoionization process we shall assume
Program structure
The program EMILIA contains a main program and 8 subprograms. The flow diagram in Fig. 1 shows the structure of the program, which maintains coherence with previous versions. The program EMILIA can reproduce the computed counting efficiencies of previous versions EMI [24], CAPMULT [25] or EMI2 [26] by simply disabling the photoelectric correction. Also the adequate ionization quenching function and atomic rearrangement model (i.e. KLM, KLMN or KL1L2L3M) must be selected. However, the simulation
Input–output data files
The different options of the program EMILIA are controlled by the CTL input file (Fig. 2), which contains the following data
- MODEL
integer number between 1 and 3 defining the atomic rearrangement model;
- ICON
integer number between 1 and 5 representative of the nuclide scheme;
- R0, H
vial internal radius and its height in cm;
- NSUC
number of Monte Carlo simulating X- and γ-ray photons;
- FIN, FFIN, DINC
free parameter interval and increment;
- NENT
integer number between 1 and 5 denoting the type of scintillator
Test run
The test run output at the end of the paper lists the computed counting efficiencies for the tracer 3H and 55Fe when the free parameter λ is within the interval 1 and 8.5. The input files CTL, SCINTI, NCLKL1L2L3M and PHOTOSC are shown in Figs. 2 to 5. The first example shows the computed efficiencies for 55Fe when the photoelectric correction option is disabled (i.e. NPHOTCORR=2), while the second example of the test run output lists the efficiencies when the same option is enabled (i.e.
Acknowledgements
The author would like to acknowledge the financial support of the Science and Technology Ministry of Spain through the Ramón y Cajal Programme.
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2021, Applied Radiation and IsotopesCitation Excerpt :From the curves in Fig. 1, it might be expected that the sensitivity is higher when looking at 55Fe. However, the overall model dependence is much higher here since the counting efficiency greatly depends on nuclear and atomic input data, the atomic rearrangement model and important secondary effects such as the photoelectric correction (Grau Carles 2006; Kossert and Grau Carles, 2006). Hence, 55Fe is not a good candidate for evaluating potential asymmetry effects, and the TDCR method is considered to be a better method for the activity standardization of this radionuclide.
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2014, Applied Radiation and IsotopesCitation Excerpt :In the case of 55Fe, the normalization causes small changes when applying the CIEMAT/NIST method, but is negligible for the TDCR method. The new normalization is also interesting, since a comparison with the EMILIA code (Grau Carles, 2006) for low-Z EC nuclides is now more meaningful. The effective energy spectrum to be considered when calculating the detection efficiency in the TDCR model is the spectrum of energy absorbed by the scintillator, which could differ from the energy spectrum of the radiations emitted by the radionuclide.
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This paper and its associated computer program are available via the Computer Physics Communications homepage on ScienceDirect (http://www.sciencedirect.com/science/journal/00104655).