123 citations · 514 across the 42 of their papers we have counts for
42 papers
Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression
Lukas Kammerer, Gabriel Kronberger, Deaglan J. Bartlett +3
We analyze the effect of optimizing the initial population of genetic programming (GP) for symbolic regression (SR) on the accuracy and complexity of solutions. We compare three we…
The Degeneracy Distillery
T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey +1
When two or more parameters or labels produce similar data, they are degenerate, or hard to distinguish. Degeneracies render both label prediction and inverse problems difficult, s…
Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations
Laura Sommovigo, Deaglan J. Bartlett, Rachel K. Cochrane +3
Dust attenuation is a major source of systematic uncertainty in both SED fitting and forward modeling of galaxy populations, yet the functional form used to parameterize attenuatio…
CMBolic: Symbolic emulators for the Cosmic Microwave Background. I. Lensing
David M. J. Vokrouhlicky, Constantinos Skordis, Deaglan J. Bartlett +2
We present the first installment of CMBolic: a suite of symbolic cosmic microwave background (CMB) emulators. In this instance, we emulate the CMB lensing potential power spectrum…
Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
Gabriel Kronberger, Fabricio Olivetti de Franca, Deaglan J. Bartlett +2
Symbolic regression with genetic programming (GPSR) may suffer from overfitting and structural bloat, especially when noise is present. In this paper we evaluate description length…
The functional form of galaxy and halo luminosity and mass functions
Amelia Ford, Harry Desmond, Deaglan J Bartlett +1
The galaxy luminosity and stellar mass function (LF, SMF), and halo mass function (HMF), are fundamental quantities in astrophysics and crucial inputs to a range of astrophysical a…
KiDS-Legacy: WIMP dark matter constraints from the cross-correlation of weak lensing and Fermi-LAT gamma rays
Shiyang Zhang, Hendrik Hildebrandt, Ziang Yan +13
Dark matter dominates the matter content of the Universe, and its properties can be constrained through large-scale structure probes such as the cross-correlation between the unres…
Symbolically regressing dark matter halo profiles using weak lensing
Alicia Martín, Tariq Yasin, Deaglan J. Bartlett +2
The structure of dark matter haloes is often described by radial density profiles motivated by cosmological simulations. These are typically assumed to have a fixed functional form…
Introduction to Symbolic Regression in the Physical Sciences
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira +1
Symbolic regression (SR) has emerged as a powerful method for uncovering interpretable mathematical relationships from data, offering a novel route to both scientific discovery and…
The Cosmological Dipole in Tilted Anisotropic Universes
Alicia Martín, Constantinos Skordis, Deaglan J. Bartlett +3
There is tentative evidence for a mismatch between the rest frames of matter and the cosmic microwave background, the "quasar dipole anomaly". We consider such a dipole in tilted a…
Constraining dark matter halo profiles with symbolic regression
Alicia Martín, Tariq Yasin, Deaglan J. Bartlett +2
Dark matter haloes are typically characterised by radial density profiles with fixed forms motivated by simulations (e.g. NFW). However, simulation predictions depend on uncertain…
Symbolic Regression and Differentiable Fits in Beyond the Standard Model Physics
Shehu AbdusSalam, Steven Abel, Deaglan Bartlett +1
We demonstrate the efficacy of symbolic regression (SR) to probe models of particle physics Beyond the Standard Model (BSM), by considering the so-called Constrained Minimal Supers…
Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision
Deaglan J. Bartlett, Shivam Pandey
In cosmology, emulators play a crucial role by providing fast and accurate predictions of complex physical models, enabling efficient exploration of high-dimensional parameter spac…
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum
Lukas Kammerer, Deaglan J. Bartlett, Gabriel Kronberger +2
Baryonic physics has a considerable impact on the distribution of matter in our Universe on scales probed by current and future cosmological surveys, acting as a key systematic in…
The Velocity Field Olympics: Assessing velocity field reconstructions with direct distance tracers
Richard Stiskalek, Harry Desmond, Julien Devriendt +5
The peculiar velocity field of the local Universe provides direct insights into its matter distribution and the underlying theory of gravity, and is essential in cosmological analy…
syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy
Ce Sui, Deaglan J. Bartlett, Shivam Pandey +3
Current and future large scale structure surveys aim to constrain the neutrino mass and the equation of state of dark energy. We aim to construct accurate and interpretable symboli…
CHARM: Creating Halos with Auto-Regressive Multi-stage networks
Shivam Pandey, Chirag Modi, Benjamin D. Wandelt +7
To maximize the amount of information extracted from cosmological datasets, simulations that accurately represent these observations are necessary. However, traditional simulations…
COmoving Computer Acceleration (COCA): -body simulations in an emulated frame of reference
Deaglan J. Bartlett, Marco Chiarenza, Ludvig Doeser +1
-body simulations are computationally expensive, so machine-learning (ML)-based emulation techniques have emerged as a way to increase their speed. Although fast, surrogate mode…
Scant evidence for thawing quintessence
William J. Wolf, Carlos García-García, Deaglan J. Bartlett +1
New constraints on the expansion rate of the Universe seem to favor evolving dark energy in the form of thawing quintessence models, i.e., models for which a canonical, minimally c…
Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature
Andrei Constantin, Deaglan Bartlett, Harry Desmond +1
Physics seeks to uncover the laws of Nature and express them through mathematical equations. Despite the vast diversity of natural phenomena, physical equations exhibit structural…
Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density
Deaglan J. Bartlett, Matthew Ho, Benjamin D. Wandelt
Bias models relating the dark matter field to the spatial distribution of halos are widely used in current cosmological analyses. Many models predict halos purely from the local Eu…
The Inefficiency of Genetic Programming for Symbolic Regression
Gabriel Kronberger, Fabricio Olivetti de Franca, Harry Desmond +2
We analyse the search behaviour of genetic programming for symbolic regression in practically relevant but limited settings, allowing exhaustive enumeration of all solutions. This…
syren-halofit: A fast, interpretable, high-precision formula for the CDM nonlinear matter power spectrum
Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro +2
Rapid and accurate evaluation of the nonlinear matter power spectrum, , as a function of cosmological parameters and redshift is of fundamental importance in cosmology. Analy…
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier +12
This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inferenc…