Search Results for author: Harry Desmond

Found 8 papers, 5 papers with code

syren-halofit: A fast, interpretable, high-precision formula for the $Λ$CDM nonlinear matter power spectrum

1 code implementation27 Feb 2024 Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro, Pedro G. Ferreira, Harry Desmond

Our symbolic expressions for $k_\sigma$, $n_{\rm eff}$ and $C$ have root mean squared fractional errors of 0. 8%, 0. 2% and 0. 3%, respectively, for redshifts below 3 and a wide range of cosmologies.

regression Symbolic Regression

A precise symbolic emulator of the linear matter power spectrum

1 code implementation27 Nov 2023 Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro

We obtain an analytic approximation to the linear power spectrum with a root mean squared fractional error of 0. 2% between $k = 9\times10^{-3} - 9 \, h{\rm \, Mpc^{-1}}$ and across a wide range of cosmological parameters, and we provide physical interpretations for various terms in the expression.

Symbolic Regression

Priors for symbolic regression

1 code implementation13 Apr 2023 Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira

In this paper we develop methods to incorporate detailed prior information on both functions and their parameters into SR. Our prior on the structure of a function is based on a $n$-gram language model, which is sensitive to the arrangement of operators relative to one another in addition to the frequency of occurrence of each operator.

Language Modelling Model Selection +2

On the functional form of the radial acceleration relation

1 code implementation11 Jan 2023 Harry Desmond, Deaglan J. Bartlett, Pedro G. Ferreira

We apply a new method for learning equations from data -- Exhaustive Symbolic Regression (ESR) -- to late-type galaxy dynamics as encapsulated in the radial acceleration relation (RAR).

regression Relation +2

Exhaustive Symbolic Regression

6 code implementations21 Nov 2022 Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira

To address these issues we introduce Exhaustive Symbolic Regression (ESR), which systematically and efficiently considers all possible equations -- made with a given basis set of operators and up to a specified maximum complexity -- and is therefore guaranteed to find the true optimum (if parameters are perfectly optimised) and a complete function ranking subject to these constraints.

regression Symbolic Regression

A 5% measurement of the gravitational constant in the Large Magellanic Cloud

no code implementations9 Dec 2020 Harry Desmond, Jeremy Sakstein, Bhuvnesh Jain

In particular, we measure the mixing length parameter to be $\alpha=0. 90^{+0. 36}_{-0. 26}$ (when assumed to be constant across our sample), and obtain constraints on the parameters describing turbulent dissipation and convective flux.

Astrophysics of Galaxies Solar and Stellar Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology

Spatially offset black holes in the Horizon-AGN simulation and comparison to observations

no code implementations2 Jul 2020 Deaglan J. Bartlett, Harry Desmond, Julien Devriendt, Pedro G. Ferreira, Adrianne Slyz

We study the displacements between the centres of galaxies and their supermassive black holes (BHs) in the cosmological hydrodynamical simulation Horizon-AGN, and in a variety of observations from the literature.

Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics

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