LightCurveLynx is a flexible forward-modeling tool that produces supernova light-curve simulations matching ZTF observations with low KL divergence and consistent completeness limits.
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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.
Simulations indicate the Vera C. Rubin Observatory can optimally localize nearly all observable galactic supernova neutrino triggers and has a 57-97% chance of catching the optical supernova.
citing papers explorer
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LightCurveLynx: Forward Modeling of Time-Domain Surveys with Application to ZTF SN Ia DR2
LightCurveLynx is a flexible forward-modeling tool that produces supernova light-curve simulations matching ZTF observations with low KL divergence and consistent completeness limits.
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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.
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Uncovering the Next Galactic Supernova with the Vera C. Rubin Observatory
Simulations indicate the Vera C. Rubin Observatory can optimally localize nearly all observable galactic supernova neutrino triggers and has a 57-97% chance of catching the optical supernova.