3 papers
astro-ph.EP2025
Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples
Fatemeh Fazel Hesar, Mojtaba Raouf, Peyman Soltani +5
This study examines the mineral composition of volcanic samples similar to lunar materials, focusing on olivine and pyroxene. Using hyperspectral imaging from 400 to 1000 nm, we cr…
astro-ph.GA2025
Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations
Amirmohammad Chegeni, Fatemeh Fazel Hesar, Mojtaba Raouf +2
Distinguishing galaxies as either fast or slow rotators plays a vital role in understanding the processes behind galaxy formation and evolution. Standard techniques, which are base…
astro-ph.SR2024
Advancing Machine Learning for Stellar Activity and Exoplanet Period Rotation
Fatemeh Fazel Hesar, Bernard Foing, Ana M. Heras +4
This study applied machine learning models to estimate stellar rotation periods from corrected light curve data obtained by the NASA Kepler mission. Traditional methods often strug…