The SSDC contribution to the improvement of knowledge by means of 3D data projections of minor bodies

Abstract The latest developments of planetary exploration missions devoted to minor bodies required new solutions to correctly visualize and analyze data acquired over irregularly shaped bodies. ASI Space Science Data Center (SSDC – ASI, formerly ASDC – ASI Science Data Center) worked on this task since early 2013, when started developing the web tool MATISSE (Multi-purpose Advanced Tool for the Instruments of the Solar System Exploration) mainly focused on the Rosetta/ESA space mission data. In order to visualize very high-resolution shape models, MATISSE uses a Python module (vtpMaker), which can also be launched as a stand-alone command-line software. MATISSE and vtpMaker are part of the SSDC contribution to the new challenges imposed by the “orbital exploration” of minor bodies: (1) MATISSE allows to search for specific observations inside datasets and then analyze them in parallel, providing high-level outputs; (2) the 3D capabilities of both tools are critical in inferring information otherwise difficult to retrieve for non-spherical targets and, as in the case for the GIADA instrument onboard Rosetta, to visualize data related to the coma. New tasks and features adding valuable capabilities to the minor bodies SSDC tools are planned for the near future thanks to new collaborations.

[1]  U. Fink,et al.  Virtis : an imaging spectrometer for the rosetta mission , 1998 .

[2]  Simon F. Green,et al.  67P/C-G inner coma dust properties from 2.2 au inbound to 2.0 au outbound to the Sun , 2016 .

[3]  S. Debei,et al.  On the nucleus structure and activity of comet 67P/Churyumov-Gerasimenko , 2015, Science.

[4]  Giuseppe Piccioni,et al.  Water and carbon dioxide distribution in the 67P/Churyumov-Gerasimenko coma from VIRTIS-M infrared observations , 2016 .

[5]  Alessandro Frigeri,et al.  Composition and mineralogy of dark material units on Vesta , 2014 .

[6]  U. Fink,et al.  The organic-rich surface of comet 67P/Churyumov-Gerasimenko as seen by VIRTIS/Rosetta , 2015, Science.

[7]  Giuseppe Piccioni,et al.  The global surface composition of 67P/Churyumov–Gerasimenko nucleus by Rosetta/VIRTIS. II) Diurnal and seasonal variability , 2016 .

[8]  Sergio Fonte,et al.  Production and 3D visualization of high-level data of minor bodies: The MATISSE tool in the framework of VESPA-Europlanet 2020 activity , 2017, Advances in Space Research.

[9]  L. Colangeli,et al.  GIADA – Grain Impact Analyzer and Dust Accumulator – Onboard Rosetta spacecraft: Extended calibrations☆ , 2016 .

[10]  S. Debei,et al.  Are fractured cliffs the source of cometary dust jets ? insights from OSIRIS/Rosetta at 67P/Churyumov-Gerasimenko , 2015, 1512.03193.

[11]  Regional surface morphology of comet 67P/Churyumov-Gerasimenko from Rosetta/OSIRIS images: The southern hemisphere , 2016 .

[12]  C. H. Acton,et al.  Ancillary data services of NASA's Navigation and Ancillary Information Facility , 1996 .

[13]  S. Debei,et al.  Dust measurements in the coma of comet 67P/Churyumov-Gerasimenko inbound to the Sun , 2015, Science.

[14]  A. Zinzi,et al.  Mineralogical and spectral analysis of Vesta’s Gegania and Lucaria quadrangles and comparative analysis of their key features , 2015 .

[15]  Paolo Giommi,et al.  Data mining and visualization from planetary missions: the VESPA-Europlanet2020 activity , 2016, Proceedings of the International Astronomical Union.

[16]  V. Della Corte,et al.  The Grain Impact Analyser and Dust Accumulator (GIADA) Experiment for the Rosetta Mission: Design, Performances and First Results , 2007 .

[17]  Paolo Giommi,et al.  MATISSE: A novel tool to access, visualize and analyse data from planetary exploration missions , 2016 .

[18]  Baptiste Cecconi,et al.  CDPP tools : Promoting research and education with AMDA, 3DView and the propagation tool in space physics , 2014 .

[19]  Simon F. Green,et al.  GIADA: its status after the Rosetta cruise phase and on-ground activity in support of the encounter with comet 67P/Churyumov-Gerasimenko , 2014 .

[20]  S. Erard,et al.  The diurnal cycle of water ice on comet 67P/Churyumov–Gerasimenko , 2015, Nature.

[21]  S. Erard,et al.  Refractory and semi-volatile organics at the surface of comet 67P/Churyumov-Gerasimenko: Insights from the VIRTIS/Rosetta imaging spectrometer , 2016 .

[22]  Giampiero Naletto,et al.  Shape model, reference system definition, and cartographic mapping standards for comet 67P/Churyumov-Gerasimenko Stereo-photogrammetric analysis of Rosetta/OSIRIS image data , 2015 .

[23]  P. Fernique,et al.  VESPA: a community-driven Virtual Observatory in Planetary Science , 2016, 1705.09727.

[24]  C. C. Law,et al.  ParaView: An End-User Tool for Large-Data Visualization , 2005, The Visualization Handbook.

[25]  A. Zinzi,et al.  Detection of new olivine-rich locations on Vesta , 2014 .

[26]  Paolo Gamba,et al.  THE ‘MOON MAPPING’ PROJECT TO PROMOTE COOPERATION BETWEEN STUDENTS OF ITALY AND CHINA , 2016 .