Toby Lovick

activity

20232026

most citedNon-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and

H_{0}

6 citations · 6 across the 3 of their papers we have counts for

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2 papers · 1 filter

astro-ph.CO2025

High-Dimensional Bayesian Model Comparison in Cosmology with GPU-accelerated Nested Sampling and Neural Emulators

Toby Lovick, David Yallup, Davide Piras +2

We demonstrate a GPU-accelerated nested sampling framework for efficient high-dimensional Bayesian inference in cosmology. Using JAX-based neural emulators and likelihoods for cosm…

astro-ph.CO2023★ 6 cited

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and $H_{0}$

Toby Lovick, Suhail Dhawan, Will Handley

The latest improvements in the scale and calibration of Type Ia supernovae catalogues allow us to constrain the specific nature and evolution of dark energy through its effect on t…

High-Dimensional Bayesian Model Comparison in Cosmology with GPU-accelerated Nested Sampling and Neural Emulators

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and H0​

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and $H_{0}$