2018
DOI: 10.1016/j.icarus.2017.07.007
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Spin states of asteroids in the Eos collisional family

Abstract: Eos family was created during a catastrophic impact about 1.3 Gyr ago. Rotation states of individual family members contain information about the history of the whole population. We aim to increase the number of asteroid shape models and rotation states within the Eos collision family, as well as to revise previously published shape models from the literature. Such results can be used to constrain theoretical collisional and evolution models of the family, or to estimate other physical parameters by a thermoph… Show more

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Cited by 31 publications
(20 citation statements)
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“…We made use of the TPM implementation by Delbó et al (2007a) based on the previous development of Lagerros (1996). In our work, we followed the procedure of Hanuš et al (2015Hanuš et al ( , 2018. The detailed description can be found in the aforementioned papers.…”
Section: Appendixmentioning
confidence: 99%
“…We made use of the TPM implementation by Delbó et al (2007a) based on the previous development of Lagerros (1996). In our work, we followed the procedure of Hanuš et al (2015Hanuš et al ( , 2018. The detailed description can be found in the aforementioned papers.…”
Section: Appendixmentioning
confidence: 99%
“…423 Diotima Follow-up observations in 1-2.5 µm were performed by Hasegawa et al (2017), and this object was classified as C-type according to the Bus-DeMeo taxonomy. This object is a member of the Eos collisional family (D. Nesvorny 2012 5 , not in D. Nesvorny 2015 4 ), but is likely to be an interloper based on a spin state analysis (Hanuš et al 2018). Jones et al (1990) conducted 3-µm band observations with IRTF and detected no signal associated with hydrated minerals and/or water ice.…”
Section: Eunikementioning
confidence: 99%
“…It should also be noted that models based on sparse data provide reliable spin parameters, but only low-resolution, coarse shape representations (flag '1' or '2' in the shape quality system proposed by Hanuš et al 2018a), limiting their use in other applications . For example, detailed thermophysical modelling needs rather high-resolution (flag '3') shape models as input, only possible with large datasets of dense lightcurves obtained at various viewing geometries.…”
Section: Introductionmentioning
confidence: 99%