Galaxy-galaxy lensing in the VOICE deep survey
Ruibiao Luo, Liping Fu, Wentao Luo, Nicola R. Napolitano, Linghua Xie,, Mario Radovich, Jing Liu, Rui Li, Valeria Amaro, Zhu Chen, Dezi Liu, Zuhui, Fan, Giovanni Covone, and Mattia Vaccari

TL;DR
This study measures galaxy-galaxy lensing in the VOICE survey to estimate halo masses and compare them with known stellar-to-halo mass relations, revealing a deviation for low-mass blue galaxies likely due to low star formation efficiency.
Contribution
First measurement of galaxy-galaxy lensing in the VOICE survey, providing insights into halo masses and stellar-to-halo mass relation for different galaxy populations.
Findings
Blue low-mass galaxies deviate from the SHMR.
Most galaxy samples agree with empirical SHMR curves.
Low star formation efficiency observed in low-mass blue dwarf galaxies.
Abstract
The multi-band photometry of the VOICE imaging data, overlapping with 4.9 deg of the Chandra Deep Field South (CDFS) area, enables both shape measurement and photometric redshift estimation to be the two essential quantities for weak lensing analysis. The depth of is up to 26.1 (5 limiting) in -band. We estimate the Excess Surface Density (ESD; ) based on galaxy-galaxy measurements around galaxies at lower redshift (0.10<<0.35) while we select the background sources to be at higher redshift ranging from 0.3 to 1.5. The foreground galaxies are divided into two major categories according to their colour (blue/red), each of which has been further divided into high/low stellar mass bins. Then the halo masses of the samples are estimated by modelling the signals, and the posterior of the parameters are samples via Mote Carlo Markov Chain (MCMC)…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Astronomical Observations and Instrumentation
