11 citations · 19 across the 3 of their papers we have counts for
3 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.GA2022★ 8 cited
SOFIA FEEDBACK survey: PDR diagnostics of stellar feedback in different regions of RCW 49
M. Tiwari, M. Wolfire, M. W. Pound +13
We quantified the effects of stellar feedback in RCW 49 by determining the physical conditions in different regions using the [CII] 158 m and [OI] 63 m observations from SOFI…
astro-ph.SR2022★ 11 cited
Dents in the Veil: Protostellar feedback in Orion
U. Kavak, J. Bally, J. R. Goicoechea +3
Interest in stellar feedback has recently increased because new studies suggest that radiative and mechanical feedback from young massive stars regulate the physical and chemical c…