swMATH ID: 27038
Software Authors: Scott A. Norris
Description: PyCraters: A Python framework for crater function analysis. We introduce a Python framework designed to automate the most common tasks associated with the extraction and upscaling of the statistics of single-impact crater functions to inform coefficients of continuum equations describing surface morphology evolution. Designed with ease-of-use in mind, the framework allows users to extract meaningful statistical estimates with very short Python programs. Wrappers to interface with specific simulation packages, routines for statistical extraction of output, and fitting and differentiation libraries are all hidden behind simple, high-level user-facing functions. In addition, the framework is extensible, allowing advanced users to specify the collection of specialized statistics or the creation of customized plots. The framework is hosted on the BitBucket service under an open-source license, with the aim of helping non-specialists easily extract preliminary estimates of relevant crater function results associated with a particular experimental system.
Homepage: https://arxiv.org/abs/1410.8489
Dependencies: Python
Keywords: Computational Physics; arXiv_physics.comp-ph; Materials Science; arXiv_cond-mat.mtrl-sci; arXiv_cs.CE; Python
Related Software: SDTrimSP; Tridyn; LAMMPS; Python
Cited in: 0 Publications

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1 Publication describing the Software Year
PyCraters: A Python framework for crater function analysis
Scott A. Norris