9 citations · 11 across the 7 of their papers we have counts for
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astro-ph.SR2024
Deep Learning application for stellar parameters determination: III- Denoising Procedure
Marwan Gebran, Ian Bentley, Rose Brienza +1
In this third paper in a series, we investigate the need of spectra denoising for the derivation of stellar parameters. We have used two distinct datasets for this work. The first…
nucl-th2024★ 9 cited
High Precision Binding Energies from Physics Informed Machine Learning
Ian Bentley, James Tedder, Marwan Gebran +1
Twelve physics-informed machine learning models have been trained to model binding energy residuals. Our approach begins with determining the difference between measured experiment…
astro-ph.SR2024
Generating stellar spectra using Neural Networks
Marwan Gebran
A new generative technique is presented in this paper that uses Deep Learning to reconstruct stellar spectra based on a set of stellar parameters. Two different Neural Networks wer…