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Now showing items 1-9 of 9
Hybrid P` (k): General, unified, non-linear matter power spectrum in redshift space
(IOP Publishing Ltd, 2020)
Constraints on gravity and cosmology will greatly benefit from performing joint
clustering and weak lensing analyses on large-scale structure data sets. Utilising non-linear
information coming from small physical scales ...
Prospects for cosmic magnification measurements using H I intensity mapping
(Oxford University Press, 2020)
We investigate the prospects of measuring the cosmic magnification effect by cross-correlating neutral hydrogen intensity mapping (H I IM) maps with background optical galaxies. We forecast the signal-to-noise ratio for ...
Multipole expansion for H I intensity mapping experiments: simulations and modelling
(Oxford University Press, 2020)
We present a framework and an open-source PYTHON toolkit to analyse the two-point statistics of 3D fluctuations in the context of H I intensity maps using the multipole expansion formalism. We include simulations of the ...
The H I intensity mapping bispectrum including observational effects
(2021-07-30)
The bispectrum is a three-point statistic with the potential to provide additional information beyond power spectra analyses of
survey data sets. Radio telescopes that broadly survey the 21-cm emission from neutral hydrogen ...
Assessing non-linear models for galaxy clustering – II. Model validation and forecasts for Stage IV surveys
(Oxford University Press, 2020)
Accurate modelling of non-linear scales in galaxy clustering will be crucial for data analysis of Stage IV galaxy surveys. A selection of competing non-linear models must be made based on validation studies. We provide a ...
On the road to per cent accuracy - V. The non-linear power spectrum beyond ΛCDM with massive neutrinos and baryonic feedback
(Oxford University Press, 2021-12)
In the context of forthcoming galaxy surveys, to ensure unbiased constraints on cosmology and gravity when using non-linear structure information, per cent-level accuracy is required when modelling the power spectrum. This ...
Gaussian process regression for foreground removal in hi intensity mapping experiments
(Oxford University Press, 2022)
We apply for the first time Gaussian Process Regression (GPR) as a foreground removal technique in the context of single-dish, low redshift H I intensity mapping, and present an open-source PYTHON toolkit for doing so. We ...
Unveiling the universe with emerging cosmological probes
(Springer, 2022)
The detection of the accelerated expansion of the Universe has been one of the major breakthroughs in modern cosmology. Several cosmological probes (Cosmic Microwave Background, Supernovae Type Ia, Baryon Acoustic Oscillations) ...
Interferometric H I intensity mapping: perturbation theory predictions and foreground removal effects
(Oxford University Press, 2023)
We provide perturbation theory predictions for the H I intensity mapping power spectrum multipoles using the Effective Field
Theory of Large Scale Structure, which should allow us to exploit mildly non-linear scales. ...