SP2

Linking dark matter halo shapes to intrinsic alignments


Intrinsic Alignments (IA) are the main astrophysical contaminant in cosmic shear analyses and arise partly from correlations between galaxy shapes and the ellipticity of their host halos. However, halo shape measurements have yet to be incorporated into IA models. This SP will fill this gap by using halo shapes to inform a physically motivated halo model for IA.

Halo models analytically describe the matter distribution, assuming all matter and galaxies exist within dark matter halos. Despite simplifying assumptions, they can model, e.g., the matter power spectra (Mead et al., 2021) and higher‑order statistics (Linke et al., 2022). While IA halo models were proposed (Fortuna et al., 2021), they have not included the impact of halo shapes.

Primary researchers involved: L. Linke, S. Ploeckinger, T. Schrabback, O. Hahn

Mead A. J., Brieden S., Tröster T., Heymans C., 2021, MNRAS, 502, 1401, doi:10.1093/mnras/stab082

Linke L., Simon P., Schneider P., Farrow D. J., Rödiger J., Wright A. H., 2022, A&A, 665, A38, doi:10.1051/0004‑
6361/202243711

Fortuna M. C., Hoekstra H., Joachimi B., Johnston H., Chisari N. E., Georgiou C., Mahony C., 2021, MNRAS,
501, 2983, doi:10.1093/mnras/staa3802

 

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