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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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abhinav-s-jindal/67P_sediment_transport_pathways: Initial Release - Comet 67P Sediment Transport Analysis

Authors: Abhinav Jindal;

abhinav-s-jindal/67P_sediment_transport_pathways: Initial Release - Comet 67P Sediment Transport Analysis

Abstract

Comet 67P Sediment Transport Pathways - Initial Release This release contains Python code and data for analyzing sediment redistribution on comet 67P/Churyumov-Gerasimenko through ballistic transport simulations. Contents Python Scripts: create_hop_stats.py - Multi-hop sediment redistribution simulation convert_hop_stats_to_vtk.py - Convert particle distributions to VTK format generate_spatial_index.py - Generate spatial index for interactive visualization trajectory_source_visualizer.py - Interactive reverse trajectory analysis tool Data Files: Shape model (OBJ format, 440,596 facets) Ejection probability maps (TXT and VTK formats) Documentation and README files Large Data Files ⚠️ Note: The pre-computed transport dictionaries (~5 GB) are too large for GitHub and are available separately on Zenodo: DOI: https://doi.org/10.5281/zenodo.17574912 Requirements Python 3.7+ NumPy, SciPy, VTK Documentation See README.md for complete installation instructions, usage examples, and methodology. Citation Abhinav Jindal (2025) “abhinav-s-jindal/67P_sediment_transport_pathways: Initial Release - Comet 67P Sediment Transport Analysis”. Zenodo. doi:10.5281/zenodo.17574889. Related Publication This code accompanies the analysis published in Icarus [citation pending].

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selected citations
These citations are derived from selected sources.
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average