Published July 26, 2022 | Version 4.2.0
Dataset Open

Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor mission to a dynamically new comet

  • 1. CNRS, Observatoire de la Côte d'Azur, Laboratoire J.-L. Lagrange, CS 34229, 06304 Nice Cedex 4, France
  • 2. LESIA, Observatoire de Paris, Université PSL, CNRS, Sorbonne Universite, Universite de Paris, 5 Place Jules Janssen, 92195 Meudon, France
  • 3. INAF – Istituto di Astrofisica e Planetologia Spaziali, Area Ricerca Tor Vergata, Via Fosso del Cavaliere 100, 00133 Rome, Italy
  • 4. Department of Astronomy, University of Maryland, College Park, MD 20742-0001, USA
  • 5. European Space Research and Technology Centre (ESTEC), European Space Agency (ESA), Keplerlaan 1, 2201-AZ Noordwijk, The Netherlands
  • 6. Institute for Astronomy, University of Edinburgh, Royal Observatory, Edinburgh, EH9 3HJ, UK
  • 7. Mullard Space Science Laboratory, University College London, Holmbury St. Mary, Dorking, Surrey, RH5 6NT, UK
  • 8. INAF- Osservatorio Astronomico di Trieste, Italy
  • 9. Institute of Geological Sciences, Freie Universität Berlin, Germany
  • 10. DLR Institute of Planetary Research, Germany
  • 11. Instituto de Astrofisica de Andalucia, CSIC. Glorieta de la Astronomia sn. Granada 18008, Spain
  • 12. Department of Physics and Astronomy, University of Padova, vicolo Osservatorio, 3 Padova, Italy
  • 13. LATMOS, Sorbonne Univ., CNRS, Campus Pierre et Marie Curie, BC 102, 4 place Jussieu, 75005 Paris, France


This data-set contains all results from the Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor (CI) mission to a dynamically new comet.

A full description of the model behind the data can be found in the peer-reviewed paper Marschall, Zakharov et al. (2022), Please cite this data-set and the paper when using the data.

Contemporary numerical models of dusty-gas coma are used to obtain spatial distribution of dust for a given set of parameters. By varying parameters within a range of possible values we obtain an ensemble of possible dust distributions. Then, this ensemble is statistically evaluated in order to define the most probable cases and hence reduce the dispersion. This ensemble can be used to estimate not only the likely dust abundance along e.g. a fly-by trajectory of a spacecraft but also quantify the associated uncertainty.

The dust environment assessment for the case when the target comet is not known beforehand (or when its parameters are known with large uncertainty) is critical for spacecraft safety and planning. The EDCM provides an assessment of dust environment for the CI mission.


Files (51.7 MB)

Name Size Download all
51.7 MB Preview Download