1：Experimental Design and Method Selection:

The study involved characterizing the spectroscopic performance of a CdZnTe detector at different pulse shaping time constants using analogue and digital instrumentation, and measuring uranium and plutonium standards to assess stability and spectra quality. Methods included evaluating energy resolution, peak shape parameters, and using rejection criteria for poor-quality spectra.

2：Sample Selection and Data Sources:

Certified samples included a 207Bi point source, uranium CBNM standards with enrichments of 0.31%, 0.71%, 1.94%, 2.95%, and 4.46%, and plutonium CBNM standards with specified isotopic compositions. Data were acquired from gamma-ray spectra.

3：31%, 71%, 94%, 95%, and 46%, and plutonium CBNM standards with specified isotopic compositions. Data were acquired from gamma-ray spectra. List of Experimental Equipment and Materials:

3. List of Experimental Equipment and Materials: A 500 mm3 CdZnTe detector (hemispheric design by RITEC), a 2x2 inch LaBr3 scintillator (by Saint-Gobain Crystals), analogue electronics (charge sensitive preamplifier, linear amplifier, shaper, analogue-to-digital converter, DAQ2000 software), digital MCA (model 527 by GBS-Elektronik, WinSpec software), lead collimators, cadmium and copper attenuators, and certified sources.

4：Experimental Procedures and Operational Workflow:

Spectra were acquired for the 207Bi source and standards in runs of 7200 seconds each. Pulse shaping time constants were varied (0.25 to 8 μs for analogue, 0.7 and 1.2 μs for digital). Parameters like FWHM, FWTM, peak centroid, net peak area, and uncertainty were evaluated. Poor-quality runs were rejected based on criteria, and summed spectra files were produced.

5：25 to 8 μs for analogue, 7 and 2 μs for digital). Parameters like FWHM, FWTM, peak centroid, net peak area, and uncertainty were evaluated. Poor-quality runs were rejected based on criteria, and summed spectra files were produced. Data Analysis Methods:

5. Data Analysis Methods: Data were analyzed using Matlab-based programs to calculate parameters. Statistical methods included confidence intervals for net peak areas and centroid drift criteria. Peak shapes were compared to ideal Gaussian peaks.