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The ZTF Source Classification Project. III. A Catalog of Variable Sources

  • Authors: Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

Brian F. Healy et al 2024 The Astrophysical Journal Supplement Series 272 .

  • Provider: AAS Journals

Caption: Figure 4.

DNN architecture graph showing keras layer names and activation functions along with the shapes of their input and output. “None” dimensions indicate the networks’s ability to work with any number of sources. The network combines a convolutional branch (taking dmdt as input) and fully connected layers (taking all other features) to yield classification probabilities. Dropout layers introduce regularization, helping to reduce overfitting.

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