Third-order intrinsic alignment of SDSS BOSS LOWZ galaxies
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 such as Euclid and Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) require an accurate understanding of IA, particula...
| Autores: | , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/383325 |
| Acceso en línea: | http://hdl.handle.net/10261/383325 http://arxiv.org/abs/2406.05122v2 |
| Access Level: | acceso abierto |
| Palabra clave: | Cosmology: observations Gravitational lensing: weak Large-scale structure of Universe |
| Sumario: | 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 such as 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 model inspired by the Non-linear Linear Alignment (NLA) model and informed by second-order correlations. We also explore the dependence of the third-order correlation on the galaxies’ luminosity. We find that the amplitude AIA of the IA signal is non-zero at the 4.7σ (7.6σ) level for scales between 6 h−1 Mpc (1 h−1 Mpc) and 20 h−1 Mpc. For scales above 6 h−1 Mpc the inferred AIA agrees both with the prediction from the simulation and estimates from second-order statistics within 1σ 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. |
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