50 citations · 199 across the 13 of their papers we have counts for
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astro-ph.IM2022
Deep Learning application for stellar parameters determination: I- Constraining the hyperparameters
Marwan Gebran, Kathleen Connick, Hikmat Farhat +2
Machine Learning is an efficient method for analyzing and interpreting the increasing amount of astronomical data that is available. In this study, we show, a pedagogical approach…
astro-ph.IM2010★ 21 cited
High Magnetic Shear Gain in a Liquid Sodium Stable Couette Flow Experiment; A Prelude to an alpha-Omega Dynamo
Stirling A. Colgate, Hui Li, Vladimir Pariev +15
The -phase of the liquid sodium - dynamo experiment at NMIMT in cooperation with LANL has successfully demonstrated the production of a high toroidal field, $B_ϕ \simeq 8\…