Joint galaxy-galaxy lensing and clustering constraints on galaxy formation
Malin Renneby, Bruno M. B. Henriques, Stefan Hilbert, Dylan, Nelson, Mark Vogelsberger, Ra\'ul E. Angulo, Volker Springel and, Lars Hernquist

TL;DR
This study compares galaxy formation models with observational data, finding that hydrodynamical simulations like TNG300 match lensing and clustering signals better than semi-analytical models, especially after parameter adjustments.
Contribution
It demonstrates improved agreement between models and observations by tuning parameters in semi-analytical models and highlights the superior performance of hydrodynamical simulations in predicting galaxy lensing and clustering.
Findings
TNG300 matches lensing data better than SAMs.
Adjusting satellite merger times improves SAM predictions.
Both models overpredict lensing for intermediate-mass red galaxies.
Abstract
We compare predictions for galaxy-galaxy lensing profiles and clustering from the Henriques et al. (2015) public version of the Munich semi-analytical model of galaxy formation (SAM) and the IllustrisTNG suite, primarily TNG300, with observations from KiDS+GAMA and SDSS-DR7 using four different selection functions for the lenses (stellar mass, stellar mass and group membership, stellar mass and isolation criteria, stellar mass and colour). We find that this version of the SAM does not agree well with the current data for stellar mass-only lenses with . By decreasing the merger time for satellite galaxies as well as reducing the radio-mode AGN accretion efficiency in the SAM, we obtain better agreement, both for the lensing and the clustering, at the high mass end. We show that the new model is consistent with the signals for central galaxies presented in…
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