1.3k citations · 8.2k across the 112 of their papers we have counts for
6 papers · 1 filter
Constraints on the spacetime variation of the fine-structure constant using DESI emission-line galaxies
Linhua Jiang, Zhiwei Pan, Jessica Nicole Aguilar +38
We present strong constraints on the spacetime variation of the fine-structure constant using the Dark Energy Spectroscopic Instrument (DESI). In this pilot work, we utilize $\…
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
Xu Li, Ruiqi Sun, Jiameng Lv +29
Strong gravitational lensing is a powerful tool for investigating dark matter and dark energy properties. With the advent of large-scale sky surveys, we can discover strong lensing…
High redshift LBGs from deep broadband imaging for future spectroscopic surveys
Vanina Ruhlmann-Kleider, Christophe Yèche, Christophe Magneville +60
Lyman break galaxies (LBGs) are promising probes for clustering measurements at high redshift, , a region only covered so far by Lyman- forest measurements. In this paper,…
Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI
Ashod Khederlarian, Jeffrey A. Newman, Brett H. Andrews +43
We present a simple, differentiable method for predicting emission line strengths from rest-frame optical continua using an empirically-determined mapping. Extensive work has been…
Redshift evolution and covariances for joint lensing and clustering studies with DESI Y1
Sihan Yuan, Chris Blake, Alex Krolewski +48
Galaxy-galaxy lensing (GGL) and clustering measurements from the Dark Energy Spectroscopic Instrument Year 1 (DESI Y1) dataset promise to yield unprecedented combined-probe tests o…
Determining Stellar Elemental Abundances from DESI Spectra with the Data-Driven Payne
Meng Zhang, Maosheng Xiang, Yuan-Sen Ting +8
Stellar abundances for a large number of stars are key information for the study of Galactic formation history. Large spectroscopic surveys such as DESI and LAMOST take median-to-l…