1.3k citations · 5.7k across the 42 of their papers we have counts for
6 papers · 2 filters
The Aemulus Project III: Emulation of the Galaxy Correlation Function
Zhongxu Zhai, Jeremy L. Tinker, Matthew R. Becker +6
Using the N-body simulations of the AEMULUS Project, we construct an emulator for the non-linear clustering of galaxies in real and redshift space. We construct our model of galaxy…
The Aemulus Project II: Emulating the Halo Mass Function
Thomas McClintock, Eduardo Rozo, Matthew R. Becker +6
Existing models for the dependence of the halo mass function on cosmological parameters will become a limiting source of systematic uncertainty for cluster cosmology in the near fu…
The Aemulus Project I: Numerical Simulations for Precision Cosmology
Joseph DeRose, Risa H. Wechsler, Jeremy L. Tinker +6
The rapidly growing statistical precision of galaxy surveys has lead to a need for ever-more precise predictions of the observables used to constrain cosmological and galaxy format…
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: measurement of the growth rate of structure from the anisotropic correlation function between redshift 0.8 and 2.2
Pauline Zarrouk, Etienne Burtin, Hector Gil-Marin +35
We present the clustering measurements of quasars in configuration space based on the Data Release 14 (DR14) of the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectros…
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: structure growth rate measurement from the anisotropic quasar power spectrum in the redshift range
Héctor Gil-Marín, Julien Guy, Pauline Zarrouk +24
We analyse the clustering of the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample (DR14Q). We measure the redshift space d…
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: a tomographic measurement of cosmic structure growth and expansion rate based on optimal redshift weights
Gong-Bo Zhao, Yuting Wang, Shun Saito +28
We develop a new method, which is based on the optimal redshift weighting scheme, to extract the maximal tomographic information of baryonic acoustic oscillations (BAO) and redshif…