Ambient acoustic imaging in helioseismology

Hsiang Kuang Chang*, Dean Yi Chou, Barry LaBonte, M. T. Sun, T. M. Mu, H. R. Chen, S. Loudagh, S. J. Yeh, A. Jimenez, M. C. Rabello-Soares, G. Ai, G. P. Wang, H. Zirin, W. Marquette, S. Ehgamberdiev, S. Khalikov

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

52 Scopus citations


The increasing availability of high spatial resolution data of velocity and intensity variations on the Sun has stimulated the development of helioseismological techniques that probe the solar interior in localized regions. The techniques developed so far have yielded information on physical quantities (such as the flow velocity and magnetic field) below the surface, but are still far from providing a detailed picture of local subsurface inhomogeneities. Here we report the development and application of a new method for constructing three-dimensional solar images, utilizing acoustic noise (or stochastic P-mode oscillations) in the Sun. We treat a region of the solar surface as a phased array of acoustic sensors, which acts as a computational 'lens'; acoustic waves 'scattered' by local inhomogeneities, such as sunspots, are collected and summed in phase, based on the knowledge of how (on average) they travel within the Sun. In this way, we are able to construct a three-dimensional image of a region of the solar interior.

Original languageEnglish
Pages (from-to)825-827
Number of pages3
Issue number6653
StatePublished - 1997


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