Speaker
Description
Gamma-ray detector arrays such as ELIADE generate large volumes of spectral data, making manual analysis impractical during extended measurements. Automated analysis tools are therefore essential for spectra analysis, calibration and detector characterization tasks.
This talk presents a flexible software framework for automated gamma-ray spectra analysis, designed to integrate directly into the ELIADE data analysis workflow. The framework combines a C++ ROOT engine for peak finding, fitting, and calibration with a Python layer for data preparation, visualization, and efficiency calculations. The Analysis engine leverages a custom wavelet-based signal processing algorithm to guide peak fitting by revealing the structures of the spectra across multiple scales, improving robustness in complex or noisy conditions.
