collaborators

13 papers

astro-ph.IM2026

Robust Photometry for Roman High-Latitude Imaging Survey Cosmology Using Roman and Rubin Imaging

Chun-Hao To, Tae-Hyeon Shin, Chihway Chang +18

Accurate and precise photometry is essential for Roman cosmology because it affects photometric-redshift performance, galaxy and cluster selection, tomographic binning, and redshif…

astro-ph.GA2026

The Galaxy Luminosity Functions in ASTRID: Predictions for LSST

Fatemeh Hafezianzadeh, Tianqing Zhang, Paul Rogozenski +6

We present validated and forward-modelled galaxy luminosity functions and photometric predictions for the Vera C. Rubin Observatory Legacy Survey of Space and Time using the ASTRID…

astro-ph.IM2026

cosmo-numba: B-modes and COSEBIs computations accelerated by Numba

Axel Guinot, Rachel Mandelbaum

Weak gravitational lensing is a widely used probe in cosmological analysis. It allows astrophysists to understand the content and evolution of the Universe. We are entering an era…

astro-ph.CO2026

Optimizing the Roman Space Telescope High-Latitude Wide Area Survey for mitigating chromatic PSF effects on shear measurement

Federico Berlfein, Rachel Mandelbaum, Jiachuan Xu +1

Chromatic point-spread-function (PSF) effects arise from differences between the spectral energy distributions (SEDs) of stars, used to model the PSF, and galaxies, used to measure…

astro-ph.IM2026

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 +30

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.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…