Methods, a processor, and a system for improving an accuracy of identification of a substance

1. A method for improving an accuracy of identification of a substance, said method comprising determining, using a processor, whether a relative molecular interference function of the substance includes at least one peak, the relative molecular interference function representing a ratio of a molecular interference function of the substance to a molecular interference function of a calibration substance.

2. A method in accordance with claim 1 , further comprising determining at least one of a peak width, a peak amplitude, a peak shape, and a peak position of the at least one peak of the relative molecular interference function upon determining that the relative molecular interference function includes the at least one peak.

3. A method in accordance with claim 2 , further comprising determining the peak shape as a function of a Lorentzian function and a Gaussian function.

4. A method in accordance with claim 1 , wherein the at least one peak includes a peak, said method further comprising decomposing the peak into a Lorentzian component and a Gaussian component.

5. A method in accordance with claim 1 , wherein the at least one peak includes a plurality of peaks, said method further comprising determining at least one of a set of peak widths, a set of peak amplitudes, a set of peak shapes, and a set of peak positions of the peaks of the relative molecular interference function upon determining that the relative molecular interference function includes the at least one peak.

6. A processor configured to determine whether a relative molecular interference function of a substance includes at least one peak, the relative molecular interference function representing a ratio of a molecular interference function of the substance to a molecular interference function of a calibration substance.

7. A processor in accordance with claim 6 , wherein said processor is further configured to determine at least one of a peak width, a peak amplitude, a peak shape, and a peak position of the at least one peak of the relative molecular interference function upon determining that the relative molecular interference function includes the at least one peak.

8. A processor in accordance with claim 7 , wherein said processor is further configured to determine the peak shape as a function of a Lorentzian function and a Gaussian function.

9. A processor in accordance with claim 6 , wherein the at least one peak includes a peak, and said processor is further configured to decompose the peak into a Lorentzian component and a Gaussian component.

10. A processor in accordance with claim 6 , wherein the at least one peak includes a plurality of peaks, said processor is further configured to determine at least one of a set of peak widths, a set of peak amplitudes, a set of peak shapes, and a set of peak positions of the peaks of the relative molecular interference function upon determining that the relative molecular interference function includes the at least one peak.

11. A system for improving an accuracy of identification of a substance, said system comprising:

an X-ray source configured to generate X-rays;

a detector operatively coupled to said X-ray source, and configured to detect the X-rays and output an electrical signal representative of the detected X-rays; and

a processor coupled to said detector and configured to determine whether a relative molecular interference function of the substance includes at least one peak, the relative molecular interference function representing a ratio of a molecular interference function of the substance to a molecular interference function of a calibration substance.

12. A system in accordance with claim 11 , wherein said processor is further configured to determine at least one of a peak width, a peak amplitude, a peak shape, and a peak position of the at least one peak of the relative molecular interference function upon determining that the relative molecular interference function includes the at least one peak.

13. A system in accordance with claim 12 , wherein said processor is further configured to determine the peak shape as a function of a Lorentzian function and a Gaussian function.

14. A system in accordance with claim 11 , wherein the at least one peak includes a peak, and wherein said processor is further configured to decompose the peak into a Lorentzian component and a Gaussian component.

15. A system in accordance with claim 11 , wherein the at least one peak includes a plurality of peaks, said processor is further configured to determine at least one of a set of peak widths, a set of peak amplitudes, a set of peak shapes, and a set of peak positions of the peaks of the relative molecular interference function upon determining that the relative molecular interference function includes the at least one peak.

16. A method for improving an accuracy of identification of a substance, said method comprising identifying the substance, using a processor, based on a peak variable of a peak of a relative molecular interference function of the substance, the relative molecular interference function representing a ratio of a molecular interference function of the substance to a molecular interference function of a calibration substance.

17. A method in accordance with claim 16 , further comprising identifying the substance upon determining at least one of a peak width, a peak amplitude, a peak shape, and a peak position of the peak of the relative molecular interference function.

18. A method in accordance with claim 17 , further comprising determining the peak shape as a function of a Lorentzian function and a Gaussian function.

19. A method in accordance with claim 16 , further comprising decomposing the peak into a Lorentzian component and a Gaussian component.

20. A method in accordance with claim 16 , further comprising obtaining the relative molecular interference function by scanning the substance using an X-ray system.