4 papers
PySeshat: A Validated Python Pipeline for Binary-Star Orbit Determination and Al-Wardat Stellar Atmosphere Modeling
R. I. El-Kholy, Z. M. Hayman
Precise stellar masses and physical parameters for binary and multiple star systems require, respectively, well-constrained orbital solutions and independent stellar-atmosphere mod…
Active Learning for Planet Habitability Classification under Extreme Class Imbalance
R. I. El-Kholy, Z. M. Hayman
The increasing size and heterogeneity of exoplanet catalogs have made systematic habitability assessment challenging, particularly given the extreme scarcity of potentially habitab…
NutMaat: A Python package for stellar spectral classification on the MK system
R. I. El-Kholy, Z. M. Hayman
Stellar spectral classification according to the Morgan-Keenan (MK) system remains fundamental to astrophysical studies, yet modern surveys require automated, scalable tools. We pr…
Optimized sampling of SDSS-IV MaStar spectra for stellar classification using supervised models
R. I. El-Kholy, Z. M. Hayman
Supervised machine learning models are increasingly being used for solving the problem of stellar classification of spectroscopic data. However, training such models requires a lar…