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Synthesis of the morphological description of cometary dust at comet 67P/Churyumov-Gerasimenko

MPS-Authors
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Güttler,  Carsten
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Merouane,  Sihane
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Sierks,  Holger
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Hilchenbach,  Martin
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Tubiana,  Cecilia
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Paquette,  John
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Agarwal,  Jessica
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Krüger,  Harald
Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society;

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Citation

Güttler, C., Mannel, T., Rotundi, A., Merouane, S., Fulle, M., Bockelée-Morvan, D., et al. (2019). Synthesis of the morphological description of cometary dust at comet 67P/Churyumov-Gerasimenko. Astronomy and Astrophysics, 630: A24. doi:10.1051/0004-6361/201834751.


Cite as: https://hdl.handle.net/21.11116/0000-0005-0A4A-E
Abstract
Before Rosetta, the space missions Giotto and Stardust shaped our view on cometary dust, supported by plentiful data from Earth based observations and interplanetary dust particles collected in the Earth’s atmosphere. The Rosetta mission at comet 67P/Churyumov-Gerasimenko was equipped with a multitude of instruments designed to study cometary dust. While an abundant amount of data was presented in several individual papers, many focused on a dedicated measurement or topic. Different instruments, methods, and data sources provide different measurement parameters and potentially introduce different biases. This can be an advantage if the complementary aspect of such a complex data set can be exploited. However, it also poses a challenge in the comparison of results in the first place. The aim of this work therefore is to summarize dust results from Rosetta and before. We establish a simple classification as a common framework for intercomparison. This classification is based on the dust particle structure, porosity, and strength and also on its size. Depending on the instrumentation, these are not direct measurement parameters, but we chose them because they were the most reliable for deriving our model. The proposed classification has proved helpful in the Rosetta dust community, and we offer it here also for a broader context. In this manner, we hope to better identify synergies between different instruments and methods in the future.