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Regional unit definition for the nucleus of comet 67P/Churyumov-Gerasimenko on the SHAP7 model

AuthorsThomas, N.; El Maarry, M. R.; Theologou, P.; Preusker, F.; Scholten, F.; Jorda, L.; Hviid, S. F.; Marschall, R.; Kührt, E.; Naletto, G.; Sierks, H.; Lamy, P. L.; Rodrigo Montero, Rafael ; Koschny, D.; Davidsson, B.; Barucci, M. A.; Bertaux, J. L.; Bertini, I.; Bodewits, D.; Cremonese, G.; Da Deppo, V.; Debei, S.; De Cecco, M.; Fornasier, S.; Fulle, M.; Groussin, O.; Gutiérrez, Pedro J. ; Güttler, C.; Ip, W. H.; Keller, H. U.; Knollenberg, J.; Lara, Luisa María ; Lazzarin, M.; López-Moreno, José Juan ; Marzari, F.; Tubiana, C.; Vincent, J. B.
Issue Date2018
CitationPlanetary and Space Science 164: 19-36 (2018)
AbstractThe previously defined regions on the nucleus of comet 67P/Churyumov-Gerasimenko have been mapped back onto the 3D SHAP7 model of the nucleus (Preusker et al., 2017). The resulting regional definition is therefore self-consistent with boundaries that are well defined in 3 dimensions. The facets belonging to each region are provided as supplementary material. The shape model has then been used to assess inhomogeneity of nucleus surface morphology within individual regions. Several regions show diverse morphology. We propose sub-division of these regions into clearly identifiable units (sub-regions) and a comprehensive table is provided. The surface areas of each sub-region have been computed and statistics based on grouping of unit types are provided. The roughness of each region is also provided in a quantitative manner using a technique derived from computer graphics applications. The quantitative method supports the sub-region definition by showing that differences between sub-regions can be numerically justified.© 2018 The Authors
DescriptionOpen Acces publication. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
Publisher version (URL)http://dx.doi.org/10.1016/j.pss.2018.05.019
Identifiersdoi: 10.1016/j.pss.2018.05.019
issn: 0032-0633
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