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David Bacon

Researcher at Institute of Cosmology and Gravitation, University of Portsmouth

Publications -  558
Citations -  29275

David Bacon is an academic researcher from Institute of Cosmology and Gravitation, University of Portsmouth. The author has contributed to research in topics: Galaxy & Dislocation. The author has an hindex of 78, co-authored 504 publications receiving 25041 citations. Previous affiliations of David Bacon include University of Portsmouth & University of Liverpool.

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A machine learning approach to galaxy properties: Joint redshift-stellar mass probability distributions with Random Forest

S. Mucesh, +82 more
TL;DR: In this article, the authors demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorithm, even with few photometric bands available.
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The structure of small interstitial clusters in b.c.c. metals modelled with N-body potentials

TL;DR: In this paper, the properties of clusters of a small number (≤7) of self-interstitials in bodycentred-cubic transition metals have been studied by computer simulation using model interatomic potentials of the embedded-atom type.
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Measuring dark matter substructure with galaxy–galaxy flexion statistics

TL;DR: In this paper, a method to constrain substructure properties using the variance of weak gravitational flexion in a galaxy-galaxy lensing context is proposed, which is a statistical method, requiring many foreground-background pairs of galaxies.
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On the validity of the Born approximation for weak cosmic flexions

TL;DR: In this paper, the effect of dropping the Born approximation and taking lens-lens couplings into account, for weak lensing effects up to second order (cosmic flexion), by making a perturbative expansion in the light path is examined.