Projects per year
Description
Contains two datasets which contain the training and testing data to create the neural network discussed in the above paper. Both datasets are in .pickle format as the network was created using python (Keras). To create the network please also see the GitHub repository https://github.com/TeriLove/AIARibbonCNN.git which contains the relevant jupyter notebook and extra files to create the network.
Date made available | 2020 |
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Publisher | University of St Andrews |
Date of data production | 2020 |
Projects
- 1 Finished
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Solar and Magnetospheric: Solar and Magnetospheric Magnetohydrodynamics and Plasmas: Theory and Application
Hood, A. W. (PI), Archontis, V. (CoI), De Moortel, I. (CoI), Mackay, D. H. (CoI), Neukirch, T. (CoI), Parnell, C. E. (CoI) & Wright, A. N. (CoI)
Science & Technology Facilities Council
1/04/19 → 31/03/22
Project: Standard
Research output
- 1 Article
-
Analyzing AIA flare observations using convolutional neural networks
Love, T., Neukirch, T. & Parnell, C. E., 26 Jun 2020, In: Frontiers in Astronomy and Space Sciences. 7, 8 p., 34.Research output: Contribution to journal › Article › peer-review
Open AccessFile