spam: Software for Practical Analysis of Materials

• DOI: 10.21105/joss.02286
• Publication Date: 2020-07-13T19:28:11Z
• Authors: Olga Stamati; Edward Andò; Emmanuel Roubin; Rémi Cailletaud; Max Wiebicke; Gustavo Pinzon; Cyrille Couture; Ryan Hurley; Robert Caulk; Denis Caillerie; Takashi Matsushima; Pierre Bésuelle; Félix Bertoni; Tom Arnaud; Alejandro Laborin; Riccardo Rorato; Yue Sun; Alessandro Tengat...; Olumide Okubadejo; Jean-Baptiste Col...; Mohammad Saadatfar; Fernando Garcia; Christos Papazoglou; Ilija Vego; Sébastien Brisard; Jelke Dijkstra; Georgios Birmpilis
• Keywords: labelling; 0211 other engineering and technologies; 02 engineering and technology; [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]; tomography; 0203 mechanical engineering; image analysis; digital image correlation; random fields; correlation length; digital volume correlation

Spam, the Software for the Practical Analysis of Materials is a Python library that has evolved to cover needs of data analysis from 3D x-ray tomography work and correlated random fields with mechanical applications. Spam is first and foremost a measurement package that extends the extremely convenient framework of NumPy and SciPy by providing or accelerating tools for the material- science/mechanics oriented analysis of 2D images or 3D volumes representing field measurements. Typical uses are either the measurement of displacements fields between images of a deforming sample from which strains can be computed, or the characterisation of a particular microstructure (correlation length or particle orientation). The package is organised into a library of Python tools which are expected to be used in user-written scripts and a number of more sophisticated standalone scripts. Please see the online documentation. Spam is developed on a git repository hosted at Université Grenoble Alpes. This deposit is the version 0.5.2 that was reviewed and accepted on the Journal of Open Source Software