@article{70f40d6cef63428b8521a26cccafe5ba,
title = "Modeling optical roughness and first-order scattering processes from OSIRIS-REx color images of the rough surface of asteroid (101955) Bennu",
abstract = "The dark asteroid (101955) Bennu studied by NASA{\textquoteright} s OSIRIS-REx mission has a boulder-rich and apparently dust-poor surface, providing a natural laboratory to investigate the role of single-scattering processes in rough particulate media. Our goal is to define optical roughness and other scattering parameters that may be useful for the laboratory preparation of sample analogs, interpretation of imaging data, and analysis of the sample that will be returned to Earth. We rely on a semi-numerical statistical model aided by digital terrain model (DTM) shadow ray-tracing to obtain scattering parameters at the smallest surface element allowed by the DTM (facets of ~10 cm). Using a Markov Chain Monte Carlo technique, we solved the inversion problem on all four-band images of the OSIRIS-REx mission{\textquoteright} s top four candidate sample sites, for which high-precision laser altimetry DTMs are available. We reconstructed the a posteriori probability distribution for each parameter and distinguished primary and secondary solutions. Through the photometric image correction, we found that a mixing of low and average roughness slope best describes Bennu's surface for up to 90∘ phase angle. We detected a low non-zero specular ratio, perhaps indicating exposed sub-centimeter mono-crystalline inclusions on the surface. We report an average roughness RMS slope of 27−5∘+1, a specular ratio of 2.6−0.8+0.1%, an approx. single-scattering albedo of 4.64−0.09+0.08% at 550 nm, and two solutions for the back-scatter asymmetric factor, ξ(1) = − 0.360 ± 0.030 and ξ(2) = − 0.444 ± 0.020, for all four sites altogether.",
keywords = "Asteroid Bennu, Asteroids, surfaces, Image processing, Photometry, Radiative transfer",
author = "Hasselmann, {Pedro H.} and Sonia Fornasier and Barucci, {Maria A.} and Alice Praet and Clark, {Beth E.} and Li, {Jian Yang} and Golish, {Dathon R.} and DellaGiustina, {Daniella N.} and Deshapriya, {Jasinghege Don P.} and Zou, {Xian Duan} and Daly, {Mike G.} and Barnouin, {Olivier S.} and Simon, {Amy A.} and Lauretta, {Dante S.}",
note = "Funding Information: P. H. H. thanks Dr. Alice Bernard for her support. This work was funded by the DIM-ACAV+ project (Region {\^I}le-de-France, France) and is based upon work supported by NASA under Contract NNM10AA11C issued through the New Frontiers Program . The authors thank all teams and people that helped in the accomplishment of the OSIRIS-REx mission. P. H. H. thanks all people concerned in developing and keeping the Cython language, and Numpy and Scipy libraries for Python. OLA and funding for the Canadian authors were provided by the Canadian Space Agency. Images and kernels will be available via the Planetary Data System (PDS) ( https://sbn.psi.edu/pds/resource/orex/ ). Data are delivered to the PDS according to the OSIRIS-REx Data Management Plan available in the OSIRIS-REx PDS archive. DTMs will be available in the PDS 1 year after departure from the asteroid. Funding Information: P. H. H. thanks Dr. Alice Bernard for her support. This work was funded by the DIM-ACAV+ project (Region ?le-de-France, France) and is based upon work supported by NASA under Contract NNM10AA11C issued through the New Frontiers Program. The authors thank all teams and people that helped in the accomplishment of the OSIRIS-REx mission. P. H. H. thanks all people concerned in developing and keeping the Cython language, and Numpy and Scipy libraries for Python. OLA and funding for the Canadian authors were provided by the Canadian Space Agency. Images and kernels will be available via the Planetary Data System (PDS) (https://sbn.psi.edu/pds/resource/orex/). Data are delivered to the PDS according to the OSIRIS-REx Data Management Plan available in the OSIRIS-REx PDS archive. DTMs will be available in the PDS 1 year after departure from the asteroid. Publisher Copyright: {\textcopyright} 2020 Elsevier Inc.",
year = "2021",
month = mar,
day = "15",
doi = "10.1016/j.icarus.2020.114106",
language = "English (US)",
volume = "357",
journal = "Icarus",
issn = "0019-1035",
publisher = "Academic Press Inc.",
}