Data and supporting software for Identification of White Dwarfs with Infrared Excesses in DESI DR1 Based on Deep Learning

This repository accompanies the manuscript “Identification of White Dwarfs with Infrared Excesses in DESI DR1 Based on Deep Learning” (AAS78835). It provides the Python code for preparing the model inputs and training the multimodal deep-learning classifier, together with the associated machine-readable catalogs. The archived tables include the positive and negative training samples, the 10,988 DESI DR1 white dwarfs used for inference, and the complete Table 2 catalog of 1,886 first-stage candidates, including the final-status labels used to identify the 221 final candidates. Detailed instructions for data preparation, model training, and inference are provided in the accompanying README file.