43 citations · 245 across the 17 of their papers we have counts for
17 papers
Spatial Propagation of Weak Lensing Shear Response Corrections
T. D. Kitching, N. Tessore, P. L. Taylor
In this paper we show how response function corrections to shear measurements (e.g. as required by Metacalibration) propagate into cosmic shear power spectra. We investigate a 2-sp…
The Covariance of Photometric and Spectroscopic Two-Point Statistics: Implications for Cosmological Parameter Inference
Peter L. Taylor, Katarina Markovič
To combine information from measurements of the redshift-space power spectrum from spectroscopic data with angular weak lensing, galaxy clustering and galaxy-galaxy lensing power s…
Categorizing models using Self-Organizing Maps: an application to modified gravity theories probed by cosmic shear
Agnès Ferté, Shoubaneh Hemmati, Daniel Masters +4
We propose to use Self-Organizing Maps (SOM) to map the impact of physical models onto observables. Using this approach, we are be able to determine how theories relate to each oth…
Mapping Spatially Varying Additive Biases in Cosmic Shear Data
T. D. Kitching, A. C. Deshpande, P. L. Taylor
In this paper we address the challenge of extracting maps of spatially varying unknown additive biases from cosmic shear data. This is done by exploiting the isotropy of the cosmic…
Constraining Gravity with a -cut Cosmic Shear Analysis of the Hyper Suprime-Cam First-Year Data
Leah Vazsonyi, Peter L. Taylor, Georgios Valogiannis +3
Using Subaru Hyper Suprime-Cam (HSC) year 1 data, we perform the first -cut cosmic shear analysis constraining both CDM and Hu-Sawicki modified gravity. To generate th…
The RSD Sorting Hat: Unmixing Radial Scales in Projection
Peter L. Taylor, Katarina Markovič, Alkistis Pourtsidou +1
Future data sets will enable cross-correlations between redshift space distortions (RSD) and weak lensing (WL). While photometric lensing and clustering cross-correlations have pro…
Euclid: Forecasts for -cut Point Statistics
P. L. Taylor, T. Kitching, V. F. Cardone +92
Modelling uncertainties at small scales, i.e. high in the power spectrum , due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased trac…
Accessing the high- frontier under the Reduced Shear Approximation with -cut Cosmic Shear
Anurag C. Deshpande, Peter L. Taylor, Thomas D. Kitching
The precision of Stage IV cosmic shear surveys will enable us to probe smaller physical scales than ever before, however, model uncertainties from baryonic physics and non-linear s…
Propagating residual biases in masked cosmic shear power spectra
T. D. Kitching, A. C. Deshpande, P. L. Taylor
In this paper we derive a full expression for the propagation of weak lensing shape measurement biases into cosmic shear power spectra including the effect of missing data. We show…
x-cut Cosmic Shear: Optimally Removing Sensitivity to Baryonic and Nonlinear Physics with an Application to the Dark Energy Survey Year 1 Shear Data
Peter L. Taylor, Francis Bernardeau, Eric Huff
We present a new method, called -cut cosmic shear, which optimally removes sensitivity to poorly modeled scales from the two-point cosmic shear signal. We show that the -cut…
Cosmic Shear: Inference from Forward Models
Peter L. Taylor, Thomas D. Kitching, Justin Alsing +3
Density-estimation likelihood-free inference (DELFI) has recently been proposed as an efficient method for simulation-based cosmological parameter inference. Compared to the standa…
Rainbow Cosmic Shear: Optimisation of Tomographic Bins
T. D. Kitching, P. L. Taylor, P. Capak +2
In this paper we address the problem of finding optimal cosmic shear tomographic bins. We generalise the definition of a cosmic shear tomographic bin to be a set of commonly labell…
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…
Testing the Cosmic Shear Spatially-Flat Universe Approximation with Generalized Lensing and Shear Spectra
Peter L. Taylor, Thomas D. Kitching, Jason D. McEwen +1
We introduce the Generalised Lensing and Shear Spectra GLaSS code which is available for download from https://github.com/astro-informatics/GLaSS It is a fast and flexible public c…
Preparing for the Cosmic Shear Data Flood: Optimal Data Extraction and Simulation Requirements for Stage IV Dark Energy Experiments
Peter L. Taylor, Thomas D. Kitching, Jason D. McEwen
Upcoming photometric lensing surveys will considerably tighten constraints on the neutrino mass and the dark energy equation of state. Nevertheless it remains an open question of h…