Attentive Neural Processes outperform Gaussian Processes and neural networks on light curve interpolation quality, feature recovery, calibration, and speed for 15 transient classes under realistic Rubin cadences.
Review on the Observed and Physical Properties of Core Collapse Supernovae
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
This paper summarizes observed and physical properties of all types of core collapse supernovae. Despite the great diversity displayed by these objects, several regularities emerge which suggest that 1) there is a continuum in the properties of these objects, 2) the mass of the envelope is one of the driving parameters of the explosion, or it is correlated with some other property of the core, with the latter determining the outcome of the explosion, and 3) the physics of the core and explosion mechanism of all core collapse supernovae are not be fundamentally different, regardless of the external appearance of the supernova. Far above in energy scale and 56Ni production lies SN 1998bw, the only supernova firmly associated with a gamma-ray burst.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Population synthesis with detailed reverberation modeling predicts an order of magnitude more detectable middle-aged PWNe for CTAO than currently observed in the TeV band.
citing papers explorer
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Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP
Attentive Neural Processes outperform Gaussian Processes and neural networks on light curve interpolation quality, feature recovery, calibration, and speed for 15 transient classes under realistic Rubin cadences.
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Population synthesis of Galactic middle-aged pulsar wind nebulae I. Detection prospects for current and future instruments
Population synthesis with detailed reverberation modeling predicts an order of magnitude more detectable middle-aged PWNe for CTAO than currently observed in the TeV band.