96 citations · 749 across the 31 of their papers we have counts for
8 papers · 1 filter
Sparse Bayesian mass-mapping with uncertainties: peak statistics and feature locations
Matthew A. Price, Xiaohao Cai, Jason D. McEwen +1
Weak lensing convergence maps - upon which higher order statistics can be calculated - can be recovered from observations of the shear field by solving the lensing inverse problem.…
Sparse Bayesian mass-mapping with uncertainties: local credible intervals
Matthew A. Price, Xiaohao Cai, Jason D. McEwen +2
Until recently mass-mapping techniques for weak gravitational lensing convergence reconstruction have lacked a principled statistical framework upon which to quantify reconstructio…
Sparse Bayesian mass-mapping with uncertainties: hypothesis testing of structure
Matthew A. Price, Jason D. McEwen, Xiaohao Cai +2
A crucial aspect of mass-mapping, via weak lensing, is quantification of the uncertainty introduced during the reconstruction process. Properly accounting for these errors has been…
k-cut Cosmic Shear: Tunable Power Spectrum Sensitivity to Test Gravity
Peter L. Taylor, Francis Bernardeau, Thomas D. Kitching
If left unchecked modeling uncertainties at small scales, due to poorly understood baryonic physics and non-linear structure formation, will significantly bias Stage IV cosmic shea…
Non-parametric Cosmology with Cosmic Shear
Peter L. Taylor, Thomas D. Kitching, Jason D. McEwen
We present a method to measure the growth of structure and the background geometry of the Universe -- with no a priori assumption about the underlying cosmological model. Using Can…
3D cosmic shear: numerical challenges, 3D lensing random fields generation and Minkowski Functionals for cosmological inference
A. Spurio Mancini, P. L. Taylor, R. Reischke +5
Cosmic shear - the weak gravitational lensing effect generated by fluctuations of the gravitational tidal fields of the large-scale structure - is one of the most promising tools f…