Search Results for author: Maciej Bilicki

Found 4 papers, 1 papers with code

Organised Randoms: Learning and correcting for systematic galaxy clustering patterns in KiDS using self-organising maps

no code implementations15 Dec 2020 Harry Johnston, Angus H. Wright, Benjamin Joachimi, Maciej Bilicki, Nora Elisa Chisari, Andrej Dvornik, Thomas Erben, Benjamin Giblin, Catherine Heymans, Hendrik Hildebrandt, Henk Hoekstra, Shahab Joudaki, Mohammadjavad Vakili

We then create `organised' randoms, i. e. random galaxy catalogues with spatially variable number densities, mimicking the learnt systematic density modes in the data.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Tomographic measurement of the intergalactic gas pressure through galaxy-tSZ cross-correlations

no code implementations19 Sep 2019 Nick Koukoufilippas, David Alonso, Maciej Bilicki, John A. Peacock

Our measurements allow us to place constraints on the redshift dependence of the mass-observable relation for tSZ cluster count analyses in terms of the so-called 'hydrostatic mass bias' parameter $1-b_{\rm H}$.

Cosmology and Nongalactic Astrophysics

Galaxy classification: A machine learning analysis of GAMA catalogue data

no code implementations18 Mar 2019 Aleke Nolte, Lingyu Wang, Maciej Bilicki, Benne Holwerda, Michael Biehl

We present a machine learning analysis of five labelled galaxy catalogues from the Galaxy And Mass Assembly (GAMA): The SersicCatVIKING and SersicCatUKIDSS catalogues containing morphological features, the GaussFitSimple catalogue containing spectroscopic features, the MagPhys catalogue including physical parameters for galaxies, and the Lambdar catalogue, which contains photometric measurements.

BIG-bench Machine Learning Classification +2

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