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Third-order intrinsic alignment of SDSS BOSS LOWZ galaxies

Authors :
Linke, Laila
Pyne, Susan
Joachimi, Benjamin
Georgiou, Christos
Hoffmann, Kai
Mandelbaum, Rachel
Singh, Sukhdeep
Source :
A&A 691, A312 (2024)
Publication Year :
2024

Abstract

Cosmic shear is a powerful probe of cosmology, but it is affected by the intrinsic alignment (IA) of galaxy shapes with the large-scale structure. Upcoming surveys like Euclid and Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) require an accurate understanding of IA, particularly for higher-order cosmic shear statistics that are vital for extracting the most cosmological information. In this paper, we report the first detection of third-order IA correlations using the LOWZ galaxy sample from the Sloan Digital Sky Survey (SDSS) Baryon Oscillation Spectroscopic Survey (BOSS). We compare our measurements with predictions from the MICE cosmological simulation and an analytical NLA-inspired model informed by second-order correlations. We also explore the dependence of the third-order correlation on the galaxies' luminosity. We find that the amplitude $A_\mathrm{IA}$ of the IA signal is non-zero at the $4.7\sigma$ ($7.6\sigma$) level for scales between $6 h^{-1} \mathrm{Mpc}$ ($1 h^{-1} \mathrm{Mpc}$) and $20 h^{-1} \mathrm{Mpc}$. For scales above $6 h^{-1}\mathrm{Mpc}$ the inferred AIA agrees both with the prediction from the simulation and estimates from second-order statistics within $1\sigma$ but deviations arise at smaller scales. Our results demonstrate the feasibility of measuring third-order IA correlations and using them for constraining IA models. The agreement between second- and third-order IA constraints also opens the opportunity for a consistent joint analysis and IA self-calibration, promising tighter parameter constraints for upcoming cosmological surveys.<br />Comment: 10 pages + appendix, 4 figures, replaced by version accepted by Astronomy and Astrophysics after minor changes

Details

Database :
arXiv
Journal :
A&A 691, A312 (2024)
Publication Type :
Report
Accession number :
edsarx.2406.05122
Document Type :
Working Paper
Full Text :
https://doi.org/10.1051/0004-6361/202451032