Jets escaping AGN disks decelerate rapidly in the dense wind-like medium, producing a downshifted spectrum with strong synchrotron self-absorption that creates a quasi-thermal hump, yielding detectable multi-wavelength emission outshining the AGN background with short delays after GW triggers.
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A ResNet-50 and BiLSTM multi-modal fusion network achieves 99.81% galaxy recall and 99.66% star recall on a CSST simulated dataset of 125,896 objects.
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Observational Properties of Nonthermal Emission from Relativistic Jets Escaping Active Galactic Nucleus Disks
Jets escaping AGN disks decelerate rapidly in the dense wind-like medium, producing a downshifted spectrum with strong synchrotron self-absorption that creates a quasi-thermal hump, yielding detectable multi-wavelength emission outshining the AGN background with short delays after GW triggers.
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A Multi-modal Fusion Network for Star-Galaxy Classification from CSST Simulated Datasets
A ResNet-50 and BiLSTM multi-modal fusion network achieves 99.81% galaxy recall and 99.66% star recall on a CSST simulated dataset of 125,896 objects.