3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
Danger Zone: Establishing Buffers for Enhanced Classification in BPT Diagrams
Changhyun Cho, Ahmad Nemer, Ivan Yu. Katkov +1
This study utilizes unsupervised machine learning, specifically the uniform manifold approximation and projection (UMAP) algorithm, to classify optical spectra originating from sta…
SDSS-V LVM: Resolving Physical Conditions in the Trifid Nebula
Natascha Sattler, J. Eduardo Méndez-Delgado, Kathryn Kreckel +18
The chemical abundance of the interstellar medium sets the initial conditions for star formation and provides a probe of chemical galaxy evolution models. However, unresolved inhom…
Analyzing the Abundance Discrepancy Problem in HII Regions with Photoionization Modeling
Ahmad Nemer, J. E. Mendez-Delgado, Natascha Sattler +5
Understanding the complex ionization structure and chemical composition of \hii\ regions poses a significant challenge in astrophysics. The abundance discrepancy problem, character…
A closer look at the origin of LINER emission and its connection to evolved stars with a machine learning classification scheme
Ahmad Nemer, Ivan Katkov, Jospeh Gelfand +1
Identifying the dominant ionizing sources in galaxies is essential for understanding their formation and evolution. Traditionally, spectra are classified based on their dominant io…