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A deep learning approach to halo merger tree construction
A key ingredient for semi-analytic models (SAMs) of galaxy formation is the mass assembly history of haloes, encoded in a tree structure.
Magnetic field generation from primordial black hole distributions
In this case we obtain values that are below the upper limits from current constraints.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Theory
A Halo Merger Tree Generation and Evaluation Framework
Our aim is to provide a new framework for halo merger tree generation that takes advantage of the results of large volume simulations, with a modest computational cost.
