Search Results for author: Thorsten Naab

Found 4 papers, 2 papers with code

FROST: a momentum-conserving CUDA implementation of a hierarchical fourth-order forward symplectic integrator

no code implementations25 Nov 2020 Antti Rantala, Thorsten Naab, Volker Springel

We present a novel hierarchical formulation of the fourth-order forward symplectic integrator and its numerical implementation in the GPU-accelerated direct-summation N-body code FROST.

Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Computational Physics

GalaxyNet: Connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes

no code implementations25 May 2020 Benjamin P. Moster, Thorsten Naab, Magnus Lindström, Joseph A. O'Leary

GalaxyNet is then trained with a reinforcement learning approach: for a fixed set of weights and biases, we compute the galaxy properties for all haloes and then derive mock statistics (stellar mass functions, cosmic and specific SFRs, quenched fractions, and clustering).

Astrophysics of Galaxies Data Analysis, Statistics and Probability

EMERGE - An empirical model for the formation of galaxies since $z\sim10$

1 code implementation15 May 2017 Benjamin P. Moster, Thorsten Naab, Simon D. M. White

Galaxies that are quenched at $z=0$ typically have a higher peak star formation rate compared to their star-forming counterparts.

Astrophysics of Galaxies

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