publications

some of my publications

2024

  1. fishnets-preview.png
    Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
    T. Lucas Makinen, Justin Alsing, and Benjamin D. Wandelt
    2024
  2. hybrid_wl.png
    Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
    T. Lucas Makinen, Alan Heavens, Natalia Porqueres, and 3 more authors
    2024
  3. hybrid-stats-schematic.jpg
    Hybrid Summary Statistics
    T. Lucas Makinen, Ce Sui, Benjamin D. Wandelt, and 2 more authors
    2024

2023

  1. radiusgap.png
    Exoplanet atmosphere evolution: emulation with neural networks
    James G. Rogers, Clàudia Janó Muñoz, James E. Owen, and 1 more author
    Monthly Notices of the Royal Astronomical Society, Mar 2023
  2. fieldlevel_ia.png
    Field-level inference of cosmic shear with intrinsic alignments and baryons
    Natalia Porqueres, Alan Heavens, Daniel Mortlock, and 2 more authors
    arXiv e-prints, Apr 2023

2022

  1. cosmograph.gif
    The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
    T. Lucas Makinen, Tom Charnock, Pablo Lemos, and 3 more authors
    The Open Journal of Astrophysics, Dec 2022

2021

  1. lossless_preview.png
    Lossless, scalable implicit likelihood inference for cosmological fields
    T. Lucas Makinen, Tom Charnock, Justin Alsing, and 1 more author
    Journal of Cosmology and Astroparticle Physics, Nov 2021
  2. deep21.gif
    deep21: a deep learning method for 21 cm foreground removal
    T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, and 4 more authors
    Journal of Cosmology and Astroparticle Physics, Apr 2021