6 papers
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…
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…
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…
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…
Impact of AGN feedback on the dynamics of gas; A Review across Diverse Environments
Mojtaba Raouf, Mohammad Hossein Purabbas, Fatemeh Fazel Hesar
This review examines the relationship between black hole activity and kinematic gas-star misalignment in brightest group galaxies (BGGs) with different merger rates. The formation…
Evaluating Classification Algorithms: Exoplanet Detection using Kepler Time Series Data
Fatemeh Fazel Hesar, Bernard Foing
This study presents a comprehensive evaluation of various classification algorithms used for the detection of exoplanets using labeled time series data from the Kepler mission. The…