We investigate the impact of different assumptions in the modeling of one-loop galaxy bias on the recovery of cosmological parameters, as a follow-up of the analysis done in the first paper of the series at fixed cosmology. To carry out these tests we focus on the real-space galaxy-power spectrum from a set of three different synthetic galaxy samples whose clustering properties are meant to match the ones of the CMASS and LOWZ catalogs of BOSS and the SDSS Main Galaxy Sample. We investigate the relevance of allowing for either short range nonlocality or scale-dependent stochasticity by fitting the real-space galaxy autopower spectrum or the combination of galaxy-galaxy and galaxy-matter power spectrum. From a comparison among the goodness o...
We study the cosmological information content of the redshift-space galaxy bispectrum monopole at on...
We calculate the nonlinear galaxy power spectrum in real space, including nonlinear distortion of th...
Citation: Kalus, B., Percival, W. J., & Samushia, L. (2016). YCosmological parameter inference from ...
We investigate the impact of different assumptions in the modeling of one-loop galaxy bias on the re...
We test the regime of validity of the one-loop galaxy bias for a wide variety of biased tracers. Our...
We present a joint likelihood analysis of the real-space power spectrum and bispectrum measured from...
International audienceWe forecast the future constraints on scale-dependent parametrizations of gala...
We explore and compare the performances of two nonlinear correction and scale-dependent biasing mode...
We analyze the clustering of galaxies using the z = 1.006 snapshot of the CosmoDC2 simulation, a hig...
56siWe describe perturbation theory (PT) models of galaxy bias for applications to photometric galax...
The combination of the power spectrum and bispectrum is a powerful way of breaking degeneracies betw...
We present a joint likelihood analysis of the halo power spectrum and bispectrum in real space. We t...
The combination of the power spectrum and bispectrum is a powerful way of breaking degeneracies bet...
We analyze the clustering of galaxies using the z=1.006 snapshot of the CosmoDC2 simulation, a high-...
We constrain cosmological parameters and galaxy-bias parameters using the combination of galaxy clus...
We study the cosmological information content of the redshift-space galaxy bispectrum monopole at on...
We calculate the nonlinear galaxy power spectrum in real space, including nonlinear distortion of th...
Citation: Kalus, B., Percival, W. J., & Samushia, L. (2016). YCosmological parameter inference from ...
We investigate the impact of different assumptions in the modeling of one-loop galaxy bias on the re...
We test the regime of validity of the one-loop galaxy bias for a wide variety of biased tracers. Our...
We present a joint likelihood analysis of the real-space power spectrum and bispectrum measured from...
International audienceWe forecast the future constraints on scale-dependent parametrizations of gala...
We explore and compare the performances of two nonlinear correction and scale-dependent biasing mode...
We analyze the clustering of galaxies using the z = 1.006 snapshot of the CosmoDC2 simulation, a hig...
56siWe describe perturbation theory (PT) models of galaxy bias for applications to photometric galax...
The combination of the power spectrum and bispectrum is a powerful way of breaking degeneracies betw...
We present a joint likelihood analysis of the halo power spectrum and bispectrum in real space. We t...
The combination of the power spectrum and bispectrum is a powerful way of breaking degeneracies bet...
We analyze the clustering of galaxies using the z=1.006 snapshot of the CosmoDC2 simulation, a high-...
We constrain cosmological parameters and galaxy-bias parameters using the combination of galaxy clus...
We study the cosmological information content of the redshift-space galaxy bispectrum monopole at on...
We calculate the nonlinear galaxy power spectrum in real space, including nonlinear distortion of th...
Citation: Kalus, B., Percival, W. J., & Samushia, L. (2016). YCosmological parameter inference from ...