Projects

  • COFFIES (Consequences of Fields and Flows in the Interior and Exterior of the Sun) DRIVE Science Center, Stanford University

    COFFIES is one of three NASA-funded Heliophysics Phase II Drive Science Centers (DSC), working to establish a multi-institution collaboration to develop the most reliable data driven physical model of solar activity possible. Our vision is to expand understanding of the Sun to develop the capability to forecast activity cycles and magnetic field variability by creating a diverse and inclusive center of excellence in Solar Physics. COFFIES establishes a collaborative science community that will develop comprehensive models of solar dynamics and, using high-fidelity helioseismic and photospheric measurements of flows and fields as constraints, substantially improve physical understanding of the ways internal plasma flows affect the origin and evolution of magnetic activity cycles of the Sun and stars like it.

    Please feel free to visit our website (https://coffies.stanford.edu/) and contact me to get involved!

    Location

    Stanford, CA

    Collaborators

    • J. Hoeksema, Professor (Research) of Physics, Stanford University
    • Junwei Zhao, Senior Research Scientis - Physical Science, Hansen Experimental Physics Laboratory (HEPL)
    • Sushant Mahajan, Physical Science Research Scientist, Hansen Experimental Physics Laboratory (HEPL)
    • Alexander Philip Koufos, Software Developer 2, Hansen Experimental Physics Laboratory (HEPL), Hansen Experimental Physics Laboratory (HEPL)
    • Yang Liu, Sr Res Scientist-Physical, Hansen Experimental Physics Laboratory (HEPL)
    • Aimee Norton, Senior Research Scientist, Hansen Experimental Physics Laboratory (HEPL)
    • Matthias Waidele, Postdoctoral Scholar, Physics, School of Humanities and Sciences
    • Thomas Duvall, Sr Res Scientist-Physical, Hansen Experimental Physics Laboratory (HEPL), Hansen Experimental Physics Laboratory (HEPL)
    • Richard Bogart, Sr Res Scientist-Phys, Hansen Experimental Physics Laboratory (HEPL)

    For More Information:

Contact

  • Work
    shessweb@stanford.edu
    Department: Hansen Experimental Physics Laboratory (HEPL) Position: Physical Science Research Scientist

Additional Info

All Publications

  • Structure and Dynamics of the Sun's Interior Revealed by the Helioseismic and Magnetic Imager SOLAR PHYSICS Kosovichev, A. G., Basu, S., Bekki, Y., Buitrago-Casas, J., Chatzistergos, T., Chen, R., Christensen-Dalsgaard, J., Donea, A., Fleck, B., Fournier, D., Garcia, R. A., Getling, A. V., Gizon, L., Gough, D. O., Hanasoge, S., Hanson, C. S., Hess Webber, S. A., Hoeksema, J., Howe, R., Jain, K., Kasapis, S., Kashyap, S. G., Kitiashvili, I. N., Komm, R., Korzennik, S. G., Krivova, N. A., Kuhn, J. R., Liang, Z., Lindsey, C., Mahajan, S. S., Mandal, K., Mani, P., Martinez Oliveros, J., Mathur, S., Rabello Soares, M., Rajaguru, S., Reiter, J., Rhodes, E. J., Rozelot, J., Scherrer, P. H., Solanki, S. K., Stefan, J. T., Toomre, J., Tripathy, S. C., Upton, L. A., Zhao, J. 2025; 300 (5)

    View details for DOI 10.1007/s11207-025-02480-6

    View details for Web of Science ID 001495280300001

  • The Sun's Large-Scale Flows I: Measurements of Differential Rotation & Torsional Oscillation SOLAR PHYSICS Mahajan, S. S., Upton, L. A., Antia, H. M., Basu, S., Derosa, M. L., Webber, S., Hoeksema, J., Jain, K., Komm, R. W., Larson, T., Nagovitsyn, Y. A., Pevtsov, A. A., Roudier, T., Tripathy, S. C., Ulrich, R. K., Zhao, J. 2024; 299 (3)

    View details for DOI 10.1007/s11207-024-02282-2

    View details for Web of Science ID 001195511900002

  • Inferring Maps of the Sun's Far-side Unsigned Magnetic Flux from Far-side Helioseismic Images Using Machine Learning Techniques ASTROPHYSICAL JOURNAL Chen, R., Zhao, J., Hess Webber, S., Liu, Y., Hoeksema, J., DeRosa, M. L. 2022; 941 (2)

    View details for DOI 10.3847/1538-4357/aca333

    View details for Web of Science ID 000903013600001

  • Solar Flare Predictive Features Derived from Polarity Inversion Line Masks in Active Regions Using an Unsupervised Machine Learning Algorithm ASTROPHYSICAL JOURNAL Wang, J., Zhang, Y., Webber, S., Liu, S., Meng, X., Wang, T. 2020; 892 (2)

    View details for DOI 10.3847/1538-4357/ab7b6c

    View details for Web of Science ID 000525489700001

https://orcid.org/0000-0002-3631-6491