9 citations · 11 across the 7 of their papers we have counts for
4 papers · 1 filter
AI Agents as a Research Team: A Human-Supervised Case Study in Stellar Spectroscopy
Marwan Gebran, Ian Bentley
We present a qualitative case study of a human-supervised team of specialized AI agents supporting an astronomy research project. The Bot Spectroscopist team, described in the proj…
TheUse of Conditional Variational Autoencoders in Generating Stellar Spectra
Marwan Gebran, Ian Bentley
We present a conditional variational autoencoder (CVAE) that generates stellar spectra covering 4000 $T_{\mathrm{eff}$ 11,000 K, dex, $-1.5 \le…
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…
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…