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Decoupling candidate dual AGN from chance superpositions in the GOTHIC survey via a deep-learning framework
astrophysics-of-galaxiescomputer-vision-and-pattern-recognitiondata-analysismachine-learningmathematical-physicsstatistics-and-probability
Dual active galactic nuclei (DAGN) mark a critical phase in the evolution of merging galaxies and the pairing of supermassive black holes, yet they remain difficult to identify in large imaging surveys because of projection effects and limited spatial resolution. Compact foreground stars and unresol
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