17 citations · 34 across the 4 of their papers we have counts for
Showing 2019Show all
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astro-ph.IM2019★ 2 cited
LRP2020: Machine Learning Advantages in Canadian Astrophysics
K. A. Venn, S. Fabbro, A Liu +12
The application of machine learning (ML) methods to the analysis of astrophysical datasets is on the rise, particularly as the computing power and complex algorithms become more po…
astro-ph.GA2019★ 7 cited
Inquiring into the nature of the Abell 2667 Brightest Cluster Galaxy: physical properties from MUSE
E. Iani, G. Rodighiero, J. Fritz +21
Based on HST and MUSE data, we probe the stellar and gas properties (i.e. kinematics, stellar mass, star formation rate) of the radio-loud brightest cluster galaxy (BCG) located at…