Article

Large Language Models Enable Textual Interpretation of Image-Based Astronomical Transient Classifications

2025-01-20

Abstract excerpt

<title>Abstract</title> <p>Modern astronomical surveys deliver immense volumes of transient detections, yet distinguishing between real astrophysical signals (e.g., explosive events, variable stars) and bogus imaging artifacts remains challenging. Convolutional neural networks (CNNs) are effective for such real-bogus classification in optical imaging data; however, their reliance on latent representations makes i...

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Literature Corpus work: 638509f9-45b4-568d-aa8f-ab9c6d1daf35
DOI: 10.21203/rs.3.rs-5723428/v1

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