出版事項（掲載誌）American Physical Society (APS)
DOI10.1103/physrevd.81.063531
著作権情報http://link.aps.org/licenses/aps-default-license
参照Cosmological gravity probes: Connecting recent theoretical developments to forthcoming observations
Cosmology with massive neutrinos I: towards a realistic modeling of the relation between matter, haloes and galaxies
Where are the Luminous Red Galaxies (LRGs)? Using correlation measurements and lensing to relate LRGs to dark matter haloes
Perturbation theory for the non-linear halo power spectrum: the renormalized bias and halo bias
Consistent lensing and clustering in a low-<i>S</i>8 Universe with BOSS, DES Year 3, HSC Year 1, and KiDS-1000
Power spectrum super-sample covariance
Testing gravity on large scales by combining weak lensing with galaxy clustering using CFHTLenS and BOSS CMASS
Strong orientation dependence of surface mass density profiles of dark haloes at large scales
Nonlinear stochastic biasing of halos: Analysis of cosmological<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>N</mml:mi></mml:math>-body simulations and perturbation theories
First Identification of a CMB Lensing Signal Produced by 1.5 Million Galaxies at
<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>z</mml:mi><mml:mo>∼</mml:mo><mml:mn>4</mml:mn></mml:mrow></mml:math>
: Constraints on Matter Density Fluctuations at High Redshift
THE WEAK LENSING SIGNAL AND THE CLUSTERING OF BOSS GALAXIES. I. MEASUREMENTS
Joint analysis of cluster number counts and weak lensing power spectrum to correct for the super-sample covariance
Validating a minimal galaxy bias method for cosmological parameter inference using HSC-SDSS mock catalogs
THE WEAK LENSING SIGNAL AND THE CLUSTERING OF BOSS GALAXIES. II. ASTROPHYSICAL AND COSMOLOGICAL CONSTRAINTS
Cosmological constraints from a combination of galaxy clustering and lensing – II. Fisher matrix analysis
Stacked lensing estimators and their covariance matrices: excess surface mass density versus lensing shear
連携機関・データベース国立情報学研究所 : CiNii Research