Gammasg

Gammasg is a modular, open-source software framework and data format designed for gamma spectroscopy analysis. It provides tools to process, calibrate, simulate, and visualize gamma-ray spectra collected from radiation detectors, enabling researchers to identify peaks, assess background, and fit spectral models.

Gammasg originated in the physics research community as an extensible platform for detector data analysis. It is developed by an international group of researchers and developers across universities and laboratories, with ongoing contributions from users who create plug-ins for custom detectors and analysis methods.

The architecture centers on a core analysis engine written in C++ with bindings for Python and other scripting languages. It uses a plug-in architecture to support different detector types, calibration schemes, and peak- or model-fitting methods. Data are stored in the native .gammasg format, with options to export to HDF5, CSV, or plain text for interoperability.

Key features include peak finding and fitting, background subtraction, energy calibration, efficiency correction, detector-response simulation, and visualization tools. The project provides a command-line interface and, in some deployments, a graphical user interface for interactive analysis.

Gammasg is used in nuclear physics experiments, radiation safety studies, medical physics research, and astrophysical gamma-ray investigations. It aims for interoperability with other spectroscopy tools and promotes reproducible analysis through a common data model and open documentation.

The software is released under a permissive open-source license and hosted in public repositories, with instructions for installation via package managers and build from source. Documentation includes tutorials, API references, and example datasets.