33 citations · 33 across the 2 of their papers we have counts for
2 papers
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.GA2021★ 33 cited
Self-absorption in [CII], CO, and HI in RCW120. Building up a geometrical and physical model of the region
S. Kabanovic, N. Schneider, V. Ossenkopf-Okada +19
Revealing the 3D dynamics of HII regions and their associated molecular clouds is important for understanding the longstanding problem as to how stellar feedback affects the densit…