62 citations · 178 across the 9 of their papers we have counts for
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astro-ph.GA2023
Identifying physical structures in our Galaxy with Gaussian Mixture Models: An unsupervised machine learning technique
M. Tiwari, R. Kievit, S. Kabanovic +14
We explore the potential of the Gaussian Mixture Model (GMM), an unsupervised machine learning method, to identify coherent physical structures in the ISM. The implementation we pr…
astro-ph.GA2023★ 13 cited
SOFIA FEEDBACK Survey: The Pillars of Creation in [C II] and Molecular Lines
Ramsey L. Karim, Marc W. Pound, Alexander G. G. M. Tielens +11
We investigate the physical structure and conditions of photodissociation regions (PDRs) and molecular gas within the Pillars of Creation in the Eagle Nebula using SOFIA FEEDBACK o…