GAMMA_FLOW: Guided Analysis of Multi-label spectra by MAtrix Factorization for Lightweight Operational Workflows

The introduction of GAMMA_FLOW marks a significant advancement in the field of spectral data analysis. This open-source Python package facilitates real-time analysis, supporting essential functions like classification, denoising, decomposition, and outlier detection. By employing a supervised approach to non-negative matrix factorization, GAMMA_FLOW not only enhances efficiency but also reduces computational costs, achieving classification accuracies exceeding 90%. Its versatility extends beyond gamma-ray spectra, making it applicable to any one-dimensional spectral data. This development is particularly important as it provides researchers and industry professionals with a reliable, cost-effective alternative to proprietary software, thereby democratizing access to advanced analytical tools. The ongoing evolution of such technologies highlights the growing need for efficient data analysis solutions in various scientific and industrial applications.