The process of combining the hybrid system spectra first requires separating peak counts from scattered continuum counts. This separation is performed using standard baseline estimation. The respective continua are then separately rebinned and summed to a common energy calibration. The peak spectra are also rebinned to the common energy calibration but are further processed prior to adding to the final spectrum. The processed, hybridized peak spectra are combined with the previously generated continuum spectrum to produce the final output spectrum. The output spectrum has a peak shape calibration similar to the better resolution constituent detector but with peak counts from both detectors. The hybridization process only redistributes measured counts. Counts are neither created nor destroyed but are explicitly conserved. The process does not attempt to recoup scattered counts into photopeaks and so is only effective for spectroscopy detectors with significant peak responses. Since the hybrid spectrum reflects a correlation of peak responses among the constituents, all of the constituents should have similar sensitivities to be most effective across the largest dynamic range. If both detectors do not have a peak response, they will not resonate. A standard system of like detectors combines constituent spectra after matching energy calibrations. Energy calibrations might be matched by adjusting hardware settings such as amplifier gain, but variations in non-linearities and offsets limit the accuracy of this approach. More commonly, each spectrum is energy calibrated separately and is then rebinned to a common energy calibration. The rebinning process does include the introduction of some additional uncertainty. However, experience has shown that the benefits outweigh this small degradation in precision. The hybridization process also manipulates the raw spectral data, but to a greater degree effective across the largest dynamic range. If both detectors do not have a peak response, they will not resonate. A standard system of like detectors combines constituent spectra after matching energy calibrations. Energy calibrations might be matched by adjusting hardware settings such as amplifier gain, but variations in non-linearities and offsets limit the accuracy of this approach. More commonly, each spectrum is energy calibrated separately and is then rebinned to a common energy calibration. The rebinning process does include the introduction of some additional uncertainty. However, experience has shown that the benefits outweigh this small degradation in precision. The hybridization process also manipulates the raw spectral data, but to a greater degree than merely rebinning to a common calibration, incurring relatively greater additional uncertainties. One goal of this study is to demonstrate that the process of hybridization can provide a net benefit, at least for the system studied.