3 papers
astro-ph.GA2025
From Images to Physics: Probabilistic Inference of Galaxy Parameters and Emission Lines via VAE & Normalizing Flows
Adiba Amira Siddiqa, Sayed Shafaat Mahmud, Rafael Martinez-Galarza
We introduce a Variational Autoencoder (VAE)--Normalizing Flow (NF) framework for rapid probabilistic inference of galaxy properties and emission line fluxes at from S…
astro-ph.IM2025
Neural Network identification of Dark Star Candidates. II. Spectroscopy
Adiba Amira Siddiqa, Sayed Shafaat Mahmud, Cosmin Ilie
Some of the first stars in the Universe might be powered by Dark Matter (DM) annihilations, rather than nuclear fusion. Those objects, i.e. Dark stars (DS), offer a unique window i…
astro-ph.CO2025
Neural Network identification of Dark Star Candidates. I. Photometry
Sayed Shafaat Mahmud, Adiba Amira Siddiqa, Cosmin Ilie
The formation of the first stars in the universe could be significantly impacted by the effects of Dark Matter (DM). Namely, if DM is in the form of Weakly Interacting Massive Part…