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20072026
most citedKiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing

1k citations · 13.3k across the 300 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

astro-ph.CO2017★ 63 cited

KiDS+2dFLenS+GAMA: Testing the cosmological model with the statistic

A. Amon, C. Blake, C. Heymans +17

We present a new measurement of , which combines measurements of weak gravitational lensing, real-space galaxy clustering and redshift space distortions. This statistic…

astro-ph.CO2017★ 54 cited

Maximal compression of the redshift space galaxy power spectrum and bispectrum

Davide Gualdi, Marc Manera, Benjamin Joachimi +1

We explore two methods of compressing the redshift space galaxy power spectrum and bispectrum with respect to a chosen set of cosmological parameters. Both methods involve reducing…

astro-ph.CO2017★ 1 cited

Weak lensing deflection of three-point correlation functions

Susan Pyne, Benjamin Joachimi, Hiranya V. Peiris

Weak gravitational lensing alters the apparent separations between observed sources, potentially affecting clustering statistics. We derive a general expression for the lensing def…

astro-ph.CO2017★ 41 cited

The mass dependence of dark matter halo alignments with large-scale structure

Davide Piras, Benjamin Joachimi, Björn Malte Schäfer +3

Tidal gravitational forces can modify the shape of galaxies and clusters of galaxies, thus correlating their orientation with the surrounding matter density field. We study the dep…

astro-ph.CO2017★ 33 cited

KiDS-i-800: Comparing weak gravitational lensing measurements in same-sky surveys

A. Amon, C. Heymans, D. Klaes +21

We present a weak gravitational lensing analysis of 815 square degree of -band imaging from the Kilo-Degree Survey (KiDS--800). In contrast to the deep -band observations,…

astro-ph.GA2017★ 55 cited

Morpho-z: improving photometric redshifts with galaxy morphology

John Y. H. Soo, Bruno Moraes, Benjamin Joachimi +10

We conduct a comprehensive study of the effects of incorporating galaxy morphology information in photometric redshift estimation. Using machine learning methods, we assess the cha…