collaborators

5 papers

astro-ph.EP2026

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning

Fatemeh Fazel Hesar, Mojtaba Raouf, Amirmohammad Chegeni +5

We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI) of the Bechar010 Lunar meteorite with ground-based lunar HSI and supervised Ma…

astro-ph.EP2026

Classification and Nomenclature of Planets in the Mass-Radius Plane

Madhu Kashyap Jagadeesh, Arkil Parikh, Margarita Safonova +2

6500+ exoplanets have been detected using various techniques. This prompted the emergence of many recent works on the taxonomy, or classification, of exoplanets. However, there is…

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…