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ZENODO
Software . 2025
Data sources: Datacite
ZENODO
Software . 2025
Data sources: Datacite
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GRAINS_tidal_physics

Authors: Burnett, Ethan R.;

GRAINS_tidal_physics

Abstract

ABOUT Creator:Ethan R. Burnett, PhDMSCA Postdoctoral Fellow, Politecnico di Milano Project site:https://zenodo.org/communities/faast-msca-sci/about This archive provides a minimal representation of computations for reproducing a set of simulation figures from"Exploring tidal dissipation in rubble pile binary secondaries using a discrete element model", arXiv, 2025. Preprint DOI TECHNICAL INFO Contents├── src/ minimal source code├── binary_analysis_GRAINS.py one-command reproducer├── Data/ Data for reproducing the simulation analysis├── Figures/ Target directory for figure saving├── environment.yml Conda + pip dependency lock├── LICENSE MIT└── CITATION.cff machine-readable citation metadata Main scripts:- binary_analysis_GRAINS.py, for parsing/organizing the GRAINS output data and performing all tidal calculations Supporting files:- src/config_calcs.py - Demonstrating calculations re: rescaling in GRAINS- src/grains_data_handler.py - Supporting functions for reading the GRAINS output directory- src/system_txt_handler.py - Functions for analyzing GRAINS system.txt files- src/util_functions.py - Misc. functions used in other files Data contents:- results_SmallSSR - an output directory from GRAINS- RubblePiles - a directory containing a single ShapeCutout sub-directory from GRAINS (not necessary for main script) Use:This code performs calculations based on the data outputs of GRAINS. GRAINS is a code for simulating granular mechanics-governed rubble pile asteroid systems, produced during the MSCA-PF of Fabio Ferrari, and expanded under the ERC Starting Grant TRACES.New simulations cannot be produced without also installing GRAINS (distributed separately), although the calculations performed herein might still be of scientific use/interest. INSTRUCTIONS FOR USE Download the ZIP file and follow the README directions CITING THIS PACKAGE If you use this code in academic work, please cite **both** the article and this replication archive: Burnett, Ethan R., Fodde, Iosto, and Ferrari, Fabio (2025). Code & data for: Exploring tidal dissipation in rubble pile binary secondaries using a discrete element model (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.15878761 Please also cite any original GRAINS works of relevance: https://doi.org/10.1007/s11044-016-9547-2https://doi.org/10.1093/mnras/stz3458https://doi.org/10.1016/j.icarus.2020.113871 DISCLAIMER Funded by the European Union. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This is research code provided “as is”; expect academic-prototype style rather than production quality. ACKNOWLEDGEMENTS This work was performed as part of the MSCA project "Facilitating Autonomy in Astrodynamics for Spacecraft Technology", Grant agreement ID: 101063274. We gratefully acknowledge technical and administrative support from the MSCA hosting organization: Department of Aerospace Science and Technology (DAER), Politecnico di Milano, Italy. Key external software, GRAINS, produced by Fabio Ferrari. FAAST Grant Agreement ID: 101063274, DOI: https://doi.org/10.3030/101063274GRAINS Grant Agreement ID: 800060, DOI: https://doi.org/10.3030/800060TRACES Grant Agreement ID: 101077758, DOI: https://doi.org/10.3030/101077758

Related Organizations
Keywords

Space exploration, Nonlinear Dynamics, Space Research, Asteroids

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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