most citedA machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest

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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…