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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. ...