activity
20102024
most citedThe VLT LBG Redshift Survey - III. The clustering and dynamics of Lyman-break galaxies at z ~ 3

74 citations · 156 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.GA2024

The MUSE Ultra Deep Field (MUDF). VI. The relationship between galaxy properties and metals in the circumgalactic medium

Alexander Beckett, Marc Rafelski, Mitchell Revalski +10

We present intial results associating galaxies in the MUSE Ultra Deep Field (MUDF) with gas seen in absorption along the line-of-sight to two bright quasars in this field, to explo…

astro-ph.GA20241 cited

High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam

Ming-Yang Zhuang, Qian Yang, Yue Shen +45

High-quality Extragalactic Legacy-field Monitoring (HELM) is a long-term observing program that photometrically monitors several well-studied extragalactic legacy fields with the D…

astro-ph.GA202014 cited

Quasar Sightline and Galaxy Evolution (QSAGE) survey -- II. Galaxy overdensities around UV luminous quasars at z=1-2

J. P. Stott, R. M. Bielby, F. Cullen +8

We demonstrate that the UV brightest quasars at z=1-2 live in overdense environments. This is based on an analysis of deep Hubble Space Telescope WFC3 G141 grism spectroscopy of th…

astro-ph.GA201418 cited

The evolution of star formation activity in galaxy groups

G. Erfanianfar, P. Popesso, A. Finoguenov +30

We study the evolution of the total star formation (SF) activity, total stellar mass and halo occupation distribution in massive halos by using one of the largest X-ray selected sa…

astro-ph.CO201274 cited

The VLT LBG Redshift Survey - III. The clustering and dynamics of Lyman-break galaxies at z ~ 3

R. Bielby, M. D. Hill, T. Shanks +12

We present a catalogue of 2135 galaxy redshifts from the VLT LBG Redshift Survey (VLRS), a spectroscopic survey of z ~ 3 galaxies in wide fields centred on background quasi-stellar…

astro-ph.CO201049 cited

The WIRCAM Deep Infrared Cluster Survey I: Groups and Clusters at z > 1.1

R. M. Bielby, A. Finoguenov, M. Tanaka +12

We use CFHTLS deep optical data, WIRCam Deep Survey (WIRDS) NIR data and XMM data to identify z>1.1 clusters in the CFHTLS D1 and D4 fields. Counterparts to such clusters can not b…