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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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Journal ArticleDOI
Predictions for the SKA from hierarchical galaxy formation models
Carlton M. Baugh,Cedric G. Lacey,Carlos S. Frenk,Andrew J. Benson,Shaun Cole,Gian Luigi Granato,Laura Silva,A. Bressan +7 more
TL;DR: In this article, the authors use the GALFORM semi-analytical model to compute the evolution of the neutral hydrogen mass function with redshift and combine it with the spectro-photometric code GRASIL to make predictions for the number counts of radio sources whose radio emission is driven by star formation.
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Clustering of extremely red objects in Elais-N1 from the UKIDSS DXS with optical photometry from Pan-STARRS 1 and Subaru
Jae-Woo Kim,Jae-Woo Kim,Alastair C. Edge,David A. Wake,David A. Wake,Violeta Gonzalez-Perez,Violeta Gonzalez-Perez,Carlton M. Baugh,Cedric G. Lacey,Toru Yamada,Yasunori Sato,William S. Burgett,K. C. Chambers,Paul A. Price,Sebastien Foucaud,Sebastien Foucaud,Peter W. Draper,Nick Kaiser +17 more
TL;DR: In this article, the angular clustering of 33 415 extremely red objects (EROs) in the Elais-N1 field covering 5.33 deg2 was measured by merging the UKIDSS Deep eXtragalactic Survey (DXS) with the optical Subaru and PanSTARRS PS1 data sets.
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Higher order clustering in the Durham/UKST and Stromlo–APM Galaxy Redshift Surveys
TL;DR: In this article, the authors presented a counts-in-cells analysis of clustering in the optically selected Durham/UKST and Stromlo-APM Galaxy Redshift Surveys.
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Single-colour diagnostics of the mass-to-light ratio - I. Predictions from galaxy formation models
Stephen M. Wilkins,Violeta Gonzalez-Perez,Carlton M. Baugh,Cedric G. Lacey,Joe Zuntz,Joe Zuntz +5 more
TL;DR: In this paper, the authors used synthetic star formation and metal enrichment histories predicted by the GALFORM galaxy formation model to investigate the precision with which various colours (ma − mb) can alone be used as diagnostics of the stellar mass-to-light ratio.
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Modelling the dusty universe - I. Introducing the artificial neural network and first applications to luminosity and colour distributions.
Carolina Almeida,Carolina Almeida,Carlton M. Baugh,Cedric G. Lacey,Carlos S. Frenk,Gian Luigi Granato,Laura Silva,Alessandro Bressan +7 more
TL;DR: In this paper, a neural network is trained to reproduce the spectral energy distributions (SEDs) of large samples of galaxies, at wavelengths ranging from the far-ultraviolet (UV) to the submillimetre (sub-mm) and radio.