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Andy Taylor

Researcher at University of Edinburgh

Publications -  211
Citations -  17612

Andy Taylor is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Weak gravitational lensing & Galaxy. The author has an hindex of 57, co-authored 211 publications receiving 16112 citations. Previous affiliations of Andy Taylor include University of Exeter & Max Planck Society.

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The Pan-STARRS1 Surveys

K. C. Chambers, +125 more
TL;DR: Pan-STARRS1 has carried out a set of distinct synoptic imaging sky surveys including the 3ππ$ Steradian Survey and the Medium Deep Survey in 5 bands as mentioned in this paper.
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Euclid Definition Study Report

René J. Laureijs, +220 more
TL;DR: Euclid as mentioned in this paper is a space-based survey mission from the European Space Agency designed to understand the origin of the universe's accelerating expansion, using cosmological probes to investigate the nature of dark energy, dark matter and gravity by tracking their observational signatures.
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Cosmology and Fundamental Physics with the Euclid Satellite

Luca Amendola, +81 more
TL;DR: Euclid is a European Space Agency medium-class mission selected for launch in 2020 within the cosmic vision 2015-2025 program as discussed by the authors, which will explore the expansion history of the universe and the evolution of cosmic structures by measuring shapes and red-shift of galaxies as well as the distribution of clusters of galaxies over a large fraction of the sky.

Euclid Definition Study Report

René J. Laureijs, +220 more
TL;DR: Euclid as discussed by the authors is a space-based survey mission from the European Space Agency designed to understand the origin of the universe's accelerating expansion, using cosmological probes to investigate the nature of dark energy, dark matter and gravity by tracking their observational signatures.
Journal ArticleDOI

Karhunen-Loève Eigenvalue Problems in Cosmology: How Should We Tackle Large Data Sets?

TL;DR: In this article, a comprehensive discussion of methods for estimating cosmological parameters from large data sets, including the previously published techniques as special cases, is presented, and it is shown that both the problem of estimating several parameters jointly and the problem that not knowing the parameters a priori can be readily solved by adding an extra singular value decomposition step.