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Machine Learning Approaches for Supernovae Classification

open access: yes
In this chapter, authors have discussed few machine learning techniques and their application to perform the supernovae classification. Supernovae has various types, mainly categorized into two important types.
Kakoli Bora, Surbhi Agrawal, Swati Routh
core   +1 more source

LIGO Core-Collapse Supernova Detection Using Convolutional Neural Networks. [PDF]

open access: yesSensors (Basel)
Pan Z   +3 more
europepmc   +1 more source

Dynamical dark energy in light of the DESI DR2 baryonic acoustic oscillations measurements. [PDF]

open access: yesNat Astron
Gu G   +59 more
europepmc   +1 more source

Strongly lensed supernovae: lessons learned. [PDF]

open access: yesPhilos Trans A Math Phys Eng Sci
Goobar A   +2 more
europepmc   +1 more source

StarWhisper Telescope: an AI framework for automating end-to-end astronomical observations. [PDF]

open access: yesCommun Eng
Wang C   +33 more
europepmc   +1 more source

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