Search Results for author: Simon Dye

Found 4 papers, 2 papers with code

Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder

no code implementations11 Nov 2019 Ting-Yun Cheng, Nan Li, Christopher J. Conselice, Alfonso Aragón-Salamanca, Simon Dye, Robert B. Metcalf

Our method successfully picks up $\sim$63\ percent of lensing images from all lenses in the training set.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

The molecular-gas properties in the gravitationally lensed merger HATLAS J142935.3-002836

no code implementations30 Mar 2019 Hugo Messias, Neil Nagar, Zhi-Yu Zhang, Ivan Oteo, Simon Dye, Eduardo Ibar, Nicholas Timmons, Paul van der Werf, Dominik Riechers, Stephen Eales, Rob Ivison, Jacob Maresca, Michal J. Michalowski, Chentao Yang

The NS galaxy is expected to have a factor of >10x more gas than its companion (M_H2<3e8 Msun).

Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics

AutoLens: Automated Modeling of a Strong Lens's Light, Mass and Source

1 code implementation24 Aug 2017 James Nightingale, Simon Dye, Richard Massey

This work presents AutoLens, the first entirely automated modeling suite for the analysis of galaxy-scale strong gravitational lenses.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

Adaptive Semi-linear Inversion of Strong Gravitational Lens Imaging

1 code implementation23 Dec 2014 James Nightingale, Simon Dye

In addition, we highlight the importance of data discretization in pixel-based inversion methods, showing that adaptive SLI averages over significant systematics that are present when a fixed source pixel grid is used.

Instrumentation and Methods for Astrophysics Astrophysics of Galaxies

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