3 papers
astro-ph.GA2026
Machine Learning-Based Classification of Active Galaxies and Estimation of Supermassive Black Hole Masses
Farideh Mazoochi, Reihaneh Karimi, Mohammad Hossein Zhoolideh Haghighi +1
Distinguishing active galaxies from star-forming galaxies is essential for understanding galaxy evolution. Diagnostic methods like the BPT (Baldwin, Phillips, and Terlevich) diagra…
astro-ph.EP2025
Machine Learning for Exoplanet Detection: A Comparative Analysis Using Kepler Data
Reihaneh Karimi, Mahdiyar Mousavi-Sadr, Mohammad H. Zhoolideh Haghighi +1
The discovery of exoplanets has expanded our understanding of planetary systems and opened new avenues for astronomical research. In this study, we present a machine learning (ML)…
astro-ph.GA2025
Hydrodynamic simulations of the Disc of Gas Around Supermassive black holes (HDGAS) -II; The transition from neutral atomic to molecular gas phases
Mojtaba Raouf, Serena Viti, Reihaneh Karimi +1
We use HDGAS hydrodynamic simulations to study the impact of active galactic nucleus (AGN) feedback on the conversion of atomic-gas to molecular-gas within the circumnuclear-disc (…