activity
20222026
most citedGalaxy and Mass Assembly (GAMA): Probing galaxy-group correlations in redshift space with the halo streaming model

4 citations · 7 across the 9 of their papers we have counts for

collaborators

10 papers

astro-ph.IM2026

Modeling of the diffuse background produced by the Vera C. Rubin Observatory M2 baffle scattered light

Alessio Taranto, Gabriele Rodeghiero, Luca Rosignoli +58

The Vera C. Rubin Observatory, with its unprecedented field of view and fast focal ratio, will survey the entire sky every 3.5 nights. This unique capacity requires dealing with of…

astro-ph.CO2026

Propagating data-driven galaxy redshift distribution uncertainties in 32-pt analyses

Jaime Ruiz-Zapatero, Qianjun Hang, Yun-Hao Zhang +7

Uncertainties in the radial distribution of galaxies, , are one of the major contributions to the error budget of early Stage-IV galaxy survey analy…

astro-ph.IM2026

Diagnosing the Effects of Spectroscopic Training Set Imperfection on Photometric Redshift Performance

Alice Crafford, Alex I. Malz, Tianqing Zhang +11

Most LSST extragalactic science will rely on photometric redshifts (photo-) to extract distance information for the galaxies. However, an incomplete or non-representative traini…

astro-ph.CO2026

Calibrating redshift distributions at with Lyman- forest cross-correlations

Qianjun Hang, Laura Casas, William d'Assignies +3

We explore the feasibility of using Lyman- (Ly) forests to calibrate the ensemble redshift distribution of the high-redshift tail () of photometric galaxies. We use \t…

astro-ph.CO2025

Uniform Rolling: An LSST Observing Cadence Offering Sufficient Survey Uniformity for Comprehensive Cosmological Analysis

Boris Leistedt, Matthew R. Becker, Humna Awan +14

The Legacy Survey of Space and Time (LSST) that will be carried out by the NSF-DOE Vera C. Rubin Observatory promises to be the defining survey of the next decade, supplying unprec…

astro-ph.IM2025★ 1 cited

Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)

T. Zhang, E. Charles, J. F. Crenshaw +87

We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and…

astro-ph.CO2025

Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map

Q. Hang, N. Jeffrey, L. Whiteway +83

We measure the correspondence between the distribution of galaxies and matter around troughs and peaks in the projected galaxy density, by comparing \texttt{redMaGiC} galaxies ($0.…

astro-ph.IM2025★ 2 cited

Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production

The RAIL Team, Jan Luca van den Busch, Eric Charles +31

Virtually all extragalactic use cases of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) require the use of galaxy redshift information, yet the vast majorit…

astro-ph.CO2024

Impact of survey spatial variability on galaxy redshift distributions and the cosmological -point statistics for the Rubin Legacy Survey of Space and Time (LSST)

Qianjun Hang, Benjamin Joachimi, Eric Charles +7

We investigate the impact of spatial survey non-uniformity on the galaxy redshift distributions for forthcoming data releases of the Rubin Observatory Legacy Survey of Space and Ti…

astro-ph.CO2022★ 4 cited

Galaxy and Mass Assembly (GAMA): Probing galaxy-group correlations in redshift space with the halo streaming model

Qianjun Hang, John A. Peacock, Shadab Alam +6

We have studied the galaxy-group cross-correlations in redshift space for the Galaxy And Mass Assembly (GAMA) Survey. We use a set of mock GAMA galaxy and group catalogues to devel…