Now showing items 1-7 of 7
A focus on L dwarfs with trigonometric parallaxes
We report new parallax measurements for ten L and early T type dwarfs, five of which have no previous published values, using observations over 3 years at the robotic Liverpool Telescope. The resulting parallaxes and proper ...
Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data
Better understanding and characterization of cloud particles, whose properties and distributions affect climate and weather, are essential for the understanding of present climate and climate change. Since imaging cloud ...
Multiobjective Optimization Applied to the Eradication of Persistent Pathogens
In scenarios such as therapeutic modeling or pest control, one aims to suppress infective agents or maximize crop yields while minimizing the side-effects of interventions, such as cost, environmental impact, and toxicity. ...
Photometric redshift estimation using Gaussian processes
We present a comparison between Gaussian processes (GPs) and artificial neural networks (ANNs) as methods for determining photometric redshifts for galaxies, given training-set data. In particular, we compare their degradation ...
The Laplace transform dual reciprocity boundary element method for electromagnetic heating problems
(EC Ltd, 2005)
There are many situations in applied science and engineering where materials are heated electrically via the so-called ohmic heating, or Joule heating, process. In this process the heating occurs throughout the volume as ...
Evaluation of Logarithmic integrals in two dimensional boundary element computation
(Queen Mary, Univ of London, 2003)
Automatic Differentiation of Algorithms
We introduce the basic notions of Automatic Differentiation, describe some extensions which are of interest in the context of nonlinear optimization and give some illustrative examples.