Bayesian inversion of coupled radiative and heat transfer models for asteroid regoliths and lakes

Enrico Schiassi, Roberto Furfaro, Domiziano Mostacci

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

In the Bayesian approach to solving inverse problems to parameter estimation, the quantities we seek to retrieve are considered as random variables. The randomness includes the uncertainty regarding their true values. We intend to use this approach to perform inversion of coupled radiative and heat transfer models for asteroid regoliths and lakes. The Bayesian inversion of this kind of models allows estimating optical and thermodynamic properties of the systems considered, and also allows finding any correlation among these properties; that would be quite difficult to find with the classical approaches.

Original languageEnglish (US)
Pages (from-to)736-745
Number of pages10
JournalRadiation Effects and Defects in Solids
Volume171
Issue number9-10
DOIs
StatePublished - Sep 1 2016

Keywords

  • Bayesian inversion
  • heat transfer
  • optical properties
  • radiative transfer
  • Remote sensing
  • thermodynamic properties

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Materials Science(all)
  • Condensed Matter Physics

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