Galaxy–galaxy lensing in the voice deep survey
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Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
EDP Sciences
Abstract
The multi-band photometry of the VOICE imaging data, overlapping with 4.9 deg2 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 magAB is up to 26.1 (5σ limiting) in r-band. We estimate the excess surface density (ESD; ∆Σ) based on galaxy–galaxy
measurements around galaxies at lower redshift (0.10 < zl < 0.35) while we select the background sources as those at higher redshift
ranging from 0.3 to 1.5. The foreground galaxies are divided into two major categories according to their colour (blue and red), each of
which has been further divided into high- and low-stellar-mass bins. The halo masses of the samples are then estimated by modelling
the signals, and the posterior of the parameters are sampled using a Monte Carlo Markov chain process. We compare our results with
the existing stellar-to-halo mass relation (SHMR) and find that the blue low-stellar-mass bin (median M∗ = 108.31 M ) deviates from
the SHMR relation whereas the other three samples agree well with empirical curves. We interpret this discrepancy as the effect of
the low star-formation efficiency of the low-mass blue dwarf galaxy population dominated in the VOICE-CDFS area.
Description
Keywords
Physics, Gravitation, Statistics studies, Dark matter, Galaxies
Citation
Luo, R. et al. (2022). Galaxy–galaxy lensing in the voice deep survey. Astronomy & Astrophysics, A 668, A12. https://doi.org/10.1051/0004-6361/202243758