Issue |
A&A
Volume 601, May 2017
|
|
---|---|---|
Article Number | A98 | |
Number of page(s) | 9 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/201629608 | |
Published online | 10 May 2017 |
Confronting semi-analytic galaxy models with galaxy-matter correlations observed by CFHTLenS
1 Argelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, 53121 Bonn, Germany
e-mail: hananeh@astro.uni-bonn.de
2 Exzellenzcluster Universe, Boltzmannstr. 2, 85748 Garching, Germany
3 Ludwig-Maximilians-Universität, Universitäts-Sternwarte, Scheinerstr. 1, 81679 München, Germany
Received: 29 August 2016
Accepted: 24 February 2017
Testing predictions of semi-analytic models of galaxy evolution against observations helps to understand the complex processes that shape galaxies. We compare predictions from the Garching and Durham models implemented on the Millennium Simulation (MS) with observations of galaxy-galaxy lensing (GGL) and galaxy-galaxy-galaxy lensing (G3L) for various galaxy samples with stellar masses in the range 0.5 ≤ M∗/ 1010M⊙ < 32 and photometric redshifts in the range 0.2 ≤ z < 0.6 in the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS). We find that the predicted GGL and G3L signals are in qualitative agreement with CFHTLenS data. Quantitatively, the models succeed in reproducing the observed signals in the highest stellar mass bin, 16 ≤ M∗/ 1010M⊙ < 32, but show different degrees of tension for the other stellar mass samples. The Durham models are strongly excluded by the observations at the 95% confidence level because they largely over-predict the amplitudes of the GGL and G3L signals, probably because they predict too many satellite galaxies in massive halos.
Key words: gravitational lensing: weak / large-scale structure of Universe / cosmology: observations / galaxies: formation / galaxies: evolution / methods: numerical
© ESO, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.