274 citations · 4.6k across the 115 of their papers we have counts for
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Bayesian forward modelling of cosmic shear data
Natalia Porqueres, Alan Heavens, Daniel Mortlock +1
We present a Bayesian hierarchical modelling approach to infer the cosmic matter density field, and the lensing and the matter power spectra, from cosmic shear data. This method us…
Impacts of the physical data model on the forward inference of initial conditions from biased tracers
Nhat-Minh Nguyen, Fabian Schmidt, Guilhem Lavaux +1
We investigate the impact of each ingredient in the employed physical data model on the Bayesian forward inference of initial conditions from biased tracers at the field level. Spe…
Peculiar velocities in the local Universe: comparison of different models and the implications for and dark matter
Supranta S. Boruah, Michael J. Hudson, Guilhem Lavaux
When measuring the value of the Hubble parameter, , it is necessary to know the recession velocity free of the effects of peculiar velocities. In this work, we study different…
Taking measurements of the kinematic Sunyaev-Zel'dovich effect forward: including uncertainties from velocity reconstruction with forward modeling
Nhat-Minh Nguyen, Jens Jasche, Guilhem Lavaux +1
We measure the kinematic Sunyaev-Zel'dovich (kSZ) effect, imprinted by maxBCG clusters, on the Planck SMICA map of the Cosmic Microwave Background (CMB). Our measurement, for the f…
Precision cosmology with voids in the final BOSS data
Nico Hamaus, Alice Pisani, Jin-Ah Choi +3
We report novel cosmological constraints obtained from cosmic voids in the final BOSS DR12 dataset. They arise from the joint analysis of geometric and dynamic distortions of avera…
A hierarchical field-level inference approach to reconstruction from sparse Lyman- forest data
Natalia Porqueres, Oliver Hahn, Jens Jasche +1
We address the problem of inferring the three-dimensional matter distribution from a sparse set of one-dimensional quasar absorption spectra of the Lyman- forest. Using a Bayesi…