Granular Healing - Python module associated to the 2022 GeoMod material benchmark
Cite as:
Rudolf, Michael (2023): Granular Healing - Python module associated to the 2022 GeoMod material benchmark. GFZ Data Services. https://doi.org/10.5880/fidgeo.2023.010
Status
I N R E V I E W : Rudolf, Michael (2023): Granular Healing - Python module associated to the 2022 GeoMod material benchmark. GFZ Data Services. https://doi.org/10.5880/fidgeo.2023.010
Abstract
The software is provided as an executable python module. The software automatically analyzes the files present in the data publication. The results are saved in the form of the images presented in the main publication. Each figure is implemented as a dedicated function that first loads the necessary data, then does some processing steps, such as curve fitting, and then plots the outputs in the desired layout. A 'main' function calls all figure functions sequentially. However, the packages is modular so that each individual plot has a standalone function which could be used with other, similarly structured data. Several submodules provide additional data for plotting, e.g. the 'groups' submodule that contains naming schemes and the densities for all samples.
Additional Information
License: GNU General Public License, Version 3, 29 June 2007
Granular-Healing is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Granular-Healing is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
Technical Information
To install the package run:
"python -m pip install git+https://git.gfz-potsdam.de/analab-code/granular-healing.git"
To run the script run:
"python -m granularhealing"
Deutsche Forschungsgemeinschaft:
CRC 1114 ”Scaling Cascades in Complex Systems”, Project B01 ”Fault networks and scaling properties of deformation accumulation” (235221301)
Keywords
EPOS, multi-scale laboratories, analogue models of geologic processes, software tools, ring shear tester, science > informatics > data processing system
rights (rightsURI=https://www.gnu.org/licenses/lgpl-3.0.html): GNU Lesser General Public License (Version 3, 29 June 2007) (C) 2022 Rudolf, Michael (TU Darmstadt, Germany)
CharacterString: The software is provided as an executable python module. The software automatically analyzes the files present in the data publication. The results are saved in the form of the images presented in the main publication. Each figure is implemented as a dedicated function that first loads the necessary data, then does some processing steps, such as curve fitting, and then plots the outputs in the desired layout. A 'main' function calls all figure functions sequentially. However, the packages is modular so that each individual plot has a standalone function which could be used with other, similarly structured data. Several submodules provide additional data for plotting, e.g. the 'groups' submodule that contains naming schemes and the densities for all samples.
CI_OnLineFunctionCode (codeList=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode codeListValue=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode_information): information
Released
Software
Abstract
;Technical University Darmstadt
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