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A trainable convolutional neural network designed to predict dual AGN candidates in large sky survey fields, with a comprehensive tutorial for how to design, train, and test the model.

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DualFinder

A trainable convolutional neural network designed to predict dual AGN candidates in large sky survey fields, with a comprehensive tutorial for how to design, train, and test the model.

Data Download: Since we cannot store large files in this GitHub repository, you can find all of the directories for pretrained models, training datasets, and data visualization using this link: https://www.dropbox.com/scl/fo/y7mv5g6zkog15xppm7sa5/AKzHkCDeBPiwJrEof6J9ppk?rlkey=i7m1sjqlgstyidss1l1n4b78h&st=fxij06wd&dl=0 Please note that some cells in the tutorial Jupyter Notebook may not run without these downloads. Please add the Double_AGN_CNN, confirmed_single_AGN_fall, Gaussian_simulated_images to the preprocess module folder when you clone this repository.

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A trainable convolutional neural network designed to predict dual AGN candidates in large sky survey fields, with a comprehensive tutorial for how to design, train, and test the model.

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