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MM: Fachverband Metall- und Materialphysik

MM 9: Poster

MM 9.65: Poster

Montag, 17. März 2025, 18:30–20:30, P1

The APyT Package: From Raw Data to Three-Dimensional Reconstruction — •Sebastian Eich — Department for Materials Physics, Institute for Materials Science, University of Stuttgart

The APyT package is an advanced, open-source Python framework for evaluating atom probe tomography (APT) data. It offers a suite of modules that automate key steps in APT processing, from mass spectrum calibration to three-dimensional sample reconstruction. Its modular architecture ensures seamless integration with external tools through standardized input/output interfaces, supporting both Linux and Windows environments.

Key features include high efficiency with NumPy and Numba, a low memory footprint, and extensive documentation. The modules are highly automated, requiring minimal user input to achieve accurate results. The package also integrates SQL database management for raw measurement data and corresponding metadata.

The mass spectrum module automatically calibrates and detects peaks, producing high-resolution spectra. The mass spectrum fitting module further refines this by fitting spectra with an analytical function, automatically de-convolving overlapping peaks by incorporating isotope abundances. The reconstruction module generates a 3D sample reconstruction, including automatic chemical identification and export capabilities. Future enhancements include a PyQt-based GUI to streamline access to all APyT modules in one application.

Keywords: Atom Probe Tomography (APT); Python Framework; Data Reconstruction; Mass Spectrum Calibration; Automation