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Black Hole

Lensing of space time around a black hole. At Oxford we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Dr Deaglan Bartlett

Eric and Wendy Schmidt AI in Science Postdoctoral Fellow

Research theme

  • Astronomy and astrophysics
  • Particle astrophysics & cosmology

Sub department

  • Astrophysics

Research groups

  • Beecroft Institute for Particle Astrophysics and Cosmology
  • Cosmology
  • Galaxy formation and evolution
deaglan.bartlett@physics.ox.ac.uk
Denys Wilkinson Building, room 532G
arxiv.org/a/bartlett_d_1
orcid.org/0000-0001-9426-7723
www.aquila-consortium.org
  • About
  • Publications

Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density

ArXiv 2405.00635 (2024)

Authors:

Deaglan J Bartlett, Matthew Ho, Benjamin D Wandelt
Details from ArXiV

The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version

ArXiv 2404.17292 (2024)

Authors:

Gabriel Kronberger, Fabricio Olivetti de Franca, Harry Desmond, Deaglan J Bartlett, Lukas Kammerer
Details from ArXiV

Optimal inflationary potentials

Physical Review D American Physical Society 109:8 (2024) 83524

Authors:

Tomás Sousa, Deaglan Bartlett, Harry Desmond, Pedro Ferreira

Abstract:

Inflation is a highly favored theory for the early Universe. It is compatible with current observations of the cosmic microwave background and large scale structure and is a driver in the quest to detect primordial gravitational waves. It is also, given the current quality of the data, highly underdetermined with a large number of candidate implementations. We use a new method in symbolic regression to generate all possible simple scalar field potentials for one of two possible basis sets of operators. Treating these as single-field, slow-roll inflationary models we then score them with an information-theoretic metric ("minimum description length") that quantifies their efficiency in compressing the information in current data. We explore two possible priors on the parameter space of potentials, one related to the functions' structural complexity and one that uses a Katz back-off language model to prefer functions that may be theoretically motivated. This enables us to identify the inflaton potentials that optimally balance simplicity with accuracy at explaining current data, which may subsequently find theoretical motivation. Our exploratory study opens the door to extraction of fundamental physics directly from data, and may be augmented with more refined theoretical priors in the quest for a complete understanding of the early Universe.
More details from the publisher
Details from ORA
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syren-halofit: A fast, interpretable, high-precision formula for the $\Lambda$CDM nonlinear matter power spectrum

(2024)

Authors:

Deaglan J Bartlett, Benjamin D Wandelt, Matteo Zennaro, Pedro G Ferreira, Harry Desmond
More details from the publisher
Details from ArXiV

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology

ArXiv 2402.05137 (2024)

Authors:

Matthew Ho, Deaglan J Bartlett, Nicolas Chartier, Carolina Cuesta-Lazaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C Lovell, T Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A Perez, Benjamin Wandelt, Greg L Bryan
Details from ArXiV

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