Galaxy Classification in the Perseus Cluster With a Convolutional Neural Network

Submitted by mgraham on Mon, 07/22/2024 - 15:22

Type: Poster
Session: Posters (Wednesday & Thursday)
Author: Jason Pruitt

Abstract: We apply the deep learning architecture ResNet-50 trained on Sloan Digital Sky Survey image thumbnails labeled from a combination of bright (r < 19.4) tagged Perseus Cluster data and existing spectroscopic data (0.01 < z < 0.033) to classify galaxies by cluster membership. On an independent test set we find that our method achieves promising results on relevant classification metrics.

Career Stage: 
Grad Student

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