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The Global Oscillation Network Group (GONG) Project
Abstract
Helioseismology requires nearly continuous observations of the oscillations of the solar surface for long periods of time in order to obtain precise measurements of the sun's normal modes of oscillation. The GONG project acquires velocity images from a network of six identical instruments distributed around the world. The GONG network began full operation in October 1995. It has achieved a duty cycle of 89 percent and reduced the magnitude of spectral artifacts by a factor of 280 in power, compared with single-site observations. The instrumental noise is less than the observed solar background.
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Cited by
Witasse, O., Sánchez‐Cano, B., Mays, M. L., Kajdič, P., Opgenoorth, H., Elliott, H. A., Richardson, I. G., Zouganelis, I., Zender, J., Wimmer‐Schweingruber, R. F., et al. (2017) · Journal of Geophysical Research: Space Physics · doi:10.1002/2017ja023884 · Cited by 126
Metadata
- Authors
- Harvey, J. W., Hill, F., Hubbard, R. P., Kennedy, J. R., Leibacher, J. W., Pintar, J. A., Gilman, P. A., Noyes, R. W., Title, A. M., Toomre, J., Ulrich, R. K., Bhatnagar, A., Kennewell, J. A., Marquette, W., Patrón, J., Saá, O., & Yasukawa, E.
- Venue
- Science
- Published
- 1996-05-31
- Volume
- 272
- Issue
- 5266
- Pages
- 1284-1286
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2119078215
- Cited by
- 618
- References
- 0
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Global Oscillation Network Group (GONG) Project. https://app.cochat.ai/papers/10.1126/science.272.5266.1284
- The paper
- Harvey, J. W., Hill, F., Hubbard, R. P., Kennedy, J. R., Leibacher, J. W., Pintar, J. A., Gilman, P. A., Noyes, R. W., Title, A. M., Toomre, J., Ulrich, R. K., Bhatnagar, A., Kennewell, J. A., Marquette, W., Patrón, J., Saá, O., & Yasukawa, E. (1996). The Global Oscillation Network Group (GONG) Project. Science. https://doi.org/10.1126/science.272.5266.1284
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.