Center for Computational Heliophysics

Organization profile

Organization profile

The primary goal of the Center for Computational Heliophysics is to develop data analysis and modeling tools in the area of heliophysics – the study and prediction of the Sun’s magnetic activity – by combining expertise from computer scientists in the Ying Wu College of Computing with that of physicists and mathematicians in the College of Science and Liberal Arts. We work in partnership with NASA’s Advanced Supercomputing Division at the NASA Ames Research Center. The center’s work is focused on novel, innovative approaches, including the development of intelligent databases, automatic feature identification and classification, realistic numeric simulations based on first-physics principles and observational data modeling. The center develops synergies among these approaches to make substantial advances in heliophysics and computer science. Our new methods and tools can be used in broader scientific and engineering applications for developing new approaches to intelligent big data databases, as well as for image-recognition and characterization methodologies in collaboration with the Computer Science Department. The computational models have been used for modeling the magnetic activity of other stars in support of NASA’s Kepler mission and the search for extraterrestrial life.

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    Projects

    Research Output

    3D MHD Modeling of the Impact of Subsurface Stratification on the Solar Dynamo

    Stejko, A. M., Guerrero, G., Kosovichev, A. G. & Smolarkiewicz, P. K., Jan 1 2020, In : Astrophysical Journal. 888, 1, 16.

    New Jersey Institute of Technology

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    A Method for the Estimation of f-and p-mode Parameters and Rotational Splitting Coefficients from Un-averaged Solar Oscillation Power Spectra

    Reiter, J., Rhodes, E. J., Kosovichev, A. G., Scherrer, P. H., Larson, T. P. & Ii, S. F. P., May 1 2020, In : Astrophysical Journal. 894, 1, 80.

    New Jersey Institute of Technology

    Research output: Contribution to journalArticle

  • Determination of the solar rotation parameters via orthogonal polynomials

    Mdzinarishvili, T. G., Shergelashvili, B. M., Japaridze, D. R., Chargeishvili, B. B., Kosovichev, A. G. & Poedts, S., Apr 1 2020, In : Advances in Space Research. 65, 7, p. 1843-1851 9 p.

    New Jersey Institute of Technology

    Research output: Contribution to journalArticle