318 citations · 805 across the 7 of their papers we have counts for
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astro-ph.IM2023
SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications
Matthieu Schaller, Josh Borrow, Peter W. Draper +24
Numerical simulations have become one of the key tools used by theorists in all the fields of astrophysics and cosmology. The development of modern tools that target the largest ex…
astro-ph.IM2016
Of Genes and Machines: application of a combination of machine learning tools to astronomy datasets
S. Heinis, S. Kumar, S. Gezari +8
We apply a combination of a Genetic Algorithms (GA) and Support Vector Machines (SVM) machine learning algorithm to solve two important problems faced by the astronomical community…