109 citations · 139 across the 5 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★ 2 cited
Structure of the W3A Low Density Foreground Region
Paul F. Goldsmith, William D. Langer, Youngmin Seo +5
We present analysis of OI 63 micron and CO = 5-4 and 8-7 multi-position data in the W3A region and use it to develop a model for the extended low-density foreground gas that pr…