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Codes for two-component thermophysical analysis of asteroid (101955) Bennu

Authors: Cambioni, Saverio; Delbo, Marco; Poggiali, Giovanni;

Codes for two-component thermophysical analysis of asteroid (101955) Bennu

Abstract

The codes in this folder allow fitting abundance of fine regolith and thermal inertia of rocks to the data collected by the OSIRIS-REx Thermal Emission Spectrometer using the method by Cambioni et al. 2019 [1] and analyze the results. The codes supports the findings of the paper: Cambioni, Delbo, Poggiali, Avdellidou, Ryan, Deshapriya, Asphaug, Ballouz, Barucci, Bennett, Bottke, Brucato, Burke, Cloutis, DellaGiustina, Emery, Rozitis, Walsh, Lauretta. "Fine-regolith production on asteroids controlled by rock porosity" (Submitted 2021-03-11). [1] Cambioni, S., Delbo, M., Ryan, A. J., Furfaro, R. & Asphaug, E. Constraining the thermal properties of planetary surfaces using machine learning: Application to airless bodies. Icarus 325, 16–30 (2019).

Keywords

asteroids; thermal inertia; regolith; machine learning

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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!
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