3 citations · 8 across the 9 of their papers we have counts for
15 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…
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…
Testing cosmic anisotropy with cluster scaling relations
Tariq Yasin, Richard Stiskalek, Harry Desmond +2
We test claims of large-scale anisotropy in the local expansion rate using cluster scaling relations as distance indicators. Using a Bayesian forward model, we jointly fit the X-ra…
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…