1.3k citations · 7.5k across the 91 of their papers we have counts for
Showing 2020 · astro-ph.GAShow all
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astro-ph.GA2020★ 46 cited
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
S. Mucesh, W. G. Hartley, A. Palmese +72
We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…
astro-ph.GA2020★ 5 cited
The End of Galaxy Surveys
Jason Rhodes, Eric Huff, Daniel Masters +1
For nearly a century, imaging and spectroscopic surveys of galaxies have given us information about the contents of the universe. We attempt to define the logical endpoint of such…