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Proceedings Paper

Toward 5D image reconstruction for optical interferometry
Author(s): Fabien Baron; Brian Kloppenborg; John Monnier
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Paper Abstract

We report on our progress toward a flexible image reconstruction software for optical interferometry capable of "5D imaging" of stellar surfaces. 5D imaging is here defined as the capability to image directly one or several stars in three dimensions, with both the time and wavelength dependencies taken into account during the reconstruction process. Our algorithm makes use of the Healpix (Gorski et al., 2005) sphere partition scheme to tesselate the stellar surface, 3D Open Graphics Language (OpenGL) to model the spheroid geometry, and the Open Compute Language (OpenCL) framework for all other computations. We use the Monte Carlo Markov Chain software SQUEEZE to solve the image reconstruction problem on the surfaces of these stars. Finally, the Compressed Sensing and Bayesian Evidence paradigms are employed to determine the best regularization for spotted stars. Our algorithm makes use of the Healpix (reference needed) sphere partition scheme to tesselate the stellar surface, 3D Open Graphics Language (OpenGL) to model the spheroid, and the Open Compute Language (OpenCL) framework to model the Roche gravitational potential equation.

Paper Details

Date Published: 12 September 2012
PDF: 9 pages
Proc. SPIE 8445, Optical and Infrared Interferometry III, 84451D (12 September 2012); doi: 10.1117/12.926274
Show Author Affiliations
Fabien Baron, Univ. of Michigan (United States)
Brian Kloppenborg, Max Planck Institute for Radio Astronomy (Germany)
John Monnier, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 8445:
Optical and Infrared Interferometry III
Françoise Delplancke; Jayadev K. Rajagopal; Fabien Malbet, Editor(s)

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