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arXiv · 2511.09326

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

Viola Rädle·Tilman Hartwig·Benjamin Oesen·Emily Alice Kröger·Julius Vogt·Eike Gericke·Martin Baron
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Abstract

GAMMA_FLOW is an open-source Python package for real-time analysis of spectral data. It supports classification, denoising, decomposition, and outlier detection of both single- and multi-component spectra. Instead of relying on large, computationally intensive models, it employs a supervised approach to non-negative matrix factorization (NMF) for dimensionality reduction. This ensures a fast, efficient, and adaptable analysis while reducing computational costs. gamma_flow achieves classification accuracies above 90% and enables reliable automated spectral interpretation. Originally developed for gamma-ray spectra, it is applicable to any type of one-dimensional spectral data. As an open and flexible alternative to proprietary software, it supports various applications in research and industry.

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Viola Rädle, Tilman Hartwig, Benjamin Oesen, Emily Alice Kröger, Julius Vogt, Eike Gericke, Martin Baron. 2025-11-12. GAMMA_FLOW: Guided Analysis of Multi-label spectra by MAtrix Factorization for Lightweight Operational Workflows. https://doi.org/10.1016/j.softx.2025.102342

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