Using 1000 mock realizations matched to the ASPIRE survey, the authors find cosmic variance increases clustering errors by ~3x over Poisson estimates and widens minimum halo mass uncertainties by 1.5-3x for z~6 quasars and emission-line galaxies.
year = 2016, volume =
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
New symmetry-based FFT estimators cut the cost of power-spectrum and bispectrum multipole measurements by roughly half while providing analytic shot-noise subtraction and an open Python package.
A new halo occupation model called HOMe reproduces the anisotropic clustering of ELGs and LRGs down to 200 h^{-1} kpc scales by sampling satellites from dark matter particle positions and fitting parameters to two-point statistics.
citing papers explorer
-
The Impact of Cosmic Variance and Satellites on JWST Clustering Measurements at Redshift around 6
Using 1000 mock realizations matched to the ASPIRE survey, the authors find cosmic variance increases clustering errors by ~3x over Poisson estimates and widens minimum halo mass uncertainties by 1.5-3x for z~6 quasars and emission-line galaxies.
-
Efficient estimators for power spectrum and bispectrum multipole measurements
New symmetry-based FFT estimators cut the cost of power-spectrum and bispectrum multipole measurements by roughly half while providing analytic shot-noise subtraction and an open Python package.
-
ELG$\times$LRG distribution through dark matter halo dynamics
A new halo occupation model called HOMe reproduces the anisotropic clustering of ELGs and LRGs down to 200 h^{-1} kpc scales by sampling satellites from dark matter particle positions and fitting parameters to two-point statistics.