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Photometry of asteroid (101955) Bennu with OVIRS on OSIRIS-REx

Authors :
X. D. Zou
S. Ferrone
Daniella DellaGiustina
Hannah Kaplan
Dathon Golish
Carina Bennett
M. A. Barucci
Edward A. Cloutis
Beth E. Clark
Eri Tatsumi
Dennis C. Reuter
Deborah L. Domingue
Pedro Hasselmann
Amy Simon
Jian-Yang Li
A. Praet
Sonia Fornasier
Dante S. Lauretta
Source :
Icarus. 358:114183
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

NASA's OSIRIS-REx spacecraft arrived at its sampling target, asteroid (101955) Bennu, in December 2018 and started a series of global observation campaigns. Here we investigate the global photometric properties of Bennu as observed by the OSIRIS-REx Visible and InfraRed Spectrometer (OVIRS) over the time period December 9, 2018, to September 26, 2019. In this study we used observations obtained over wavelengths ranging from 0.4 to 3.7 μm, with a solar phase angle range of 5.3° to 132.6°. Our aim is to characterize the global average disk-resolved photometric properties of Bennu with multiple models. The best-fit model is a McEwen model with an exponential phase function and an exponential polynomial partition function. We use this model to correct the OVIRS spectra of Bennu to a standard reference viewing and illumination geometry at visible to infrared wavelengths for the purposes of global spectral mapping. We derive a bolometric Bond albedo map in which Bennu's surface values range from 0.021 to 0.027. We find a phase reddening effect, and our model is effective at removing this phase reddening. Our average model albedo shows a blueish spectrum with a > 10% absorption feature centered at 2.74 μm. Of all comparisons with previously visited asteroids and comets, only 28P/Neujmin, 2P/Encke, and (162173) Ryugu are darker than Bennu. We find that Bennu is a few percent brighter than Ryugu in the wavelengths respectively observed by the OSIRIS-REx and Hayabusa2 missions (from 0.48 to 0.86 μm). We also compare our spectroscopic photometry of Bennu with the OSIRIS-REx imaging photometry and with ground-based predictions.

Details

ISSN :
00191035
Volume :
358
Database :
OpenAIRE
Journal :
Icarus
Accession number :
edsair.doi...........c673b26bf1c61abaa115783d3e2aa38e
Full Text :
https://doi.org/10.1016/j.icarus.2020.114183