Time-dependent reconstruction of nonstationary objects with tomographic or interferometric measurements

R. A. Frazin, M. D. Butala, A. Kemball, F. Kamalabadi

Research output: Contribution to journalArticlepeer-review


In a number of astrophysical applications one tries to determine the two-dimensional or three-dimensional structure of an object from a time series of measurements. While most methods used for reconstruction assume that the object is static, the data are often acquired over a time interval during which the object may change significantly. This problem can be addressed with time-dependent reconstruction methods such as Kalman filtering, which models the temporal evolution of the unknown object as a random walk that may or may not have a deterministic component. Time-dependent reconstructions of a hydrodynamic simulation from its line-integral projections are presented. In these examples standard reconstructions based on the static assumption are poor, while good quality reconstructions are obtained from a regularized Kalman estimate. Implications for various astrophysical applications, including tomography of the solar corona and radio aperture synthesis, are discussed.

Original languageEnglish (US)
Pages (from-to)L197-L200
JournalAstrophysical Journal
Issue number2 II
StatePublished - Dec 20 2005


  • Methods: statistical
  • Techniques: image processing
  • Techniques: interferometric

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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