The authors measure source redshifts between 1.675 and 3.332 for six strong lens systems using Keck NIRES and DESI spectroscopy, completing redshift data for these AI-discovered lenses.
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A convLSTM classifier identifies lensed SNe Ia in simulated LSST-like time series, reaching ~60% true-positive rate at O(10^{-4}) false-positive rate by the seventh epoch even after adding realistic PSF variations and foreground SN contaminants.
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DESI Strong Lens Foundry III: Keck Spectroscopy for Strong Lenses Discovered Using Residual Neural Networks
The authors measure source redshifts between 1.675 and 3.332 for six strong lens systems using Keck NIRES and DESI spectroscopy, completing redshift data for these AI-discovered lenses.
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HOLISMOKES XXI: Detecting strongly lensed type Ia supernovae from time series of multi-band LSST-like imaging data -- Part II
A convLSTM classifier identifies lensed SNe Ia in simulated LSST-like time series, reaching ~60% true-positive rate at O(10^{-4}) false-positive rate by the seventh epoch even after adding realistic PSF variations and foreground SN contaminants.