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Carlton M. Baugh

Researcher at Durham University

Publications -  482
Citations -  53635

Carlton M. Baugh is an academic researcher from Durham University. The author has contributed to research in topics: Galaxy & Galaxy formation and evolution. The author has an hindex of 110, co-authored 476 publications receiving 51655 citations. Previous affiliations of Carlton M. Baugh include University of Oxford & Illinois Central College.

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The Effects of Photoionization on Galaxy Formation - I: Model and Results at z=0

TL;DR: In this paper, a coupled model for the evolution of the global properties of the intergalactic medium (IGM) and the formation of galaxies, in the presence of a photoionizing background due to stars and quasars, was developed.
Posted Content

Simulations and modelling of the ISM in galaxies

TL;DR: The recent observations of molecular gas and the atomic hydrogen content of local and high-redshift galaxies, coupled with how these correlate with star formation activity, have revolutionized our ideas about how to model star formation in a galactic context.
Posted Content

A machine learning approach to mapping baryons onto dark matter halos using the EAGLE and C-EAGLE simulations

TL;DR: In this paper, a tree-based machine learning method is used to predict the baryonic properties of galaxies based on their host dark matter halo properties, and the trained model successfully reproduces a number of key distribution functions for an infinitesimal fraction of the computational cost of a full hydrodynamic simulation.
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On the impact of empirical and theoretical star formation laws on galaxy formation

TL;DR: In this article, the authors investigate the consequences of applying different star formation laws in the galaxy formation model GALFORM, and investigate which observables are sensitive to a change in the star formation law, without altering any other model parameters.
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Self-avoiding random walks as a probe of large-scale structure in the Universe

TL;DR: In this article, a new random walk technique for probing large-scale structure in the universe is presented. The method is based upon a growth model used in condensed matter physics and applied to point distributions in two and three dimensions.