The global meter-level shape model of comet 67P/Churyumov-Gerasimenko

DOI: 
10.1051/0004-6361/201731798
Publication date: 
13/11/2017
Main author: 
Preusker F.
IAA authors: 
Gutiérrez, P.J.;Lara, L.M.;Lopez Moreno, J.J.
Authors: 
Preusker F., Scholten F., Matz K.-D., Roatsch T., Hviid S.F., Mottola S., Knollenberg J., Kührt E., Pajola M., Oklay N., Vincent J.-B., Davidsson B., A'Hearn M.F., Agarwal J., Barbieri C., Barucci M.A., Bertaux J.-L., Bertini I., Cremonese G., Da Deppo V., Debei S., De Cecco M., Fornasier S., Fulle M., Groussin O., Gutiérrez P.J., Güttler C., Ip W.-H., Jorda L., Keller H.U., Koschny D., Kramm J.R., Küppers M., Lamy P., Lara L.M., Lazzarin M., Lopez Moreno J.J., Marzari F., Massironi M., Naletto G., Rickman H., Rodrigo R., Sierks H., Thomas N., Tubiana C.
Journal: 
Astronomy and Astrophysics
Publication type: 
Article
Volume: 
607
Pages: 
L1
Number: 
L1
Abstract: 
We performed a stereo-photogrammetric (SPG) analysis of more than 1500 Rosetta/OSIRIS NAC images of comet 67P/Churyumov-Gerasimenko (67P). The images with pixel scales in the range 0.2-3.0 m/pixel were acquired between August 2014 and February 2016. We finally derived a global high-resolution 3D description of 67P's surface, the SPG SHAP7 shape model. It consists of about 44 million facets (1-1.5 m horizontal sampling) and a typical vertical accuracy at the decimeter scale. Although some images were taken after perihelion, the SPG SHAP7 shape model can be considered a pre-periheliondescription and replaces the previous SPG SHAP4S shape model. From the new shape model, some measures for 67P with very low 3σ uncertainties can be retrieved: 18.56 km3 ± 0.02 km3 for the volume and 537.8 kg/m3 ± 0.7 kg/m3 for the mean density assuming a mass value of 9.982 × 1012 kg. © ESO, 2017.
Database: 
SCOPUS
ADS
URL: 
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032747035&doi=10.1051%2f0004-6361%2f201731798&partnerID=40&md5=e595373619ce04491b9dc97deb5c4bcb
ADS Bibcode: 
2017A&A...607L...1P
Keywords: 
Comets: individual: 67P/Churyumov-Gerasimenko; Methods: data analysis; Planets and satellites: surfaces; Techniques: image processing