Impact of lensing magnification on the analysis of galaxy clustering in redshift space
Autor: | Michel-Andrès Breton, Sylvain de la Torre, Jade Piat |
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Přispěvatelé: | Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Aix-Marseille Université |
Rok vydání: | 2021 |
Předmět: |
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
FOS: Physical sciences Astronomy and Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics dark matter methods: numerical gravitational lensing: weak Space and Planetary Science cosmology: theory Large-scale structure of the Universe large-scale structure of Universe dark energy [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] Astrophysics - Cosmology and Nongalactic Astrophysics |
Zdroj: | Astronomy and Astrophysics-A&A Astronomy and Astrophysics-A&A, 2022, 661, pp.A154. ⟨10.1051/0004-6361/202142487⟩ |
ISSN: | 0004-6361 |
DOI: | 10.48550/arxiv.2110.10421 |
Popis: | We study the impact of lensing magnification on the observed three-dimensional galaxy clustering in redshift space. We used the RayGal suite of N-body simulations, from which we extracted samples of dark matter particles and haloes in the redshift regime of interest for future large redshift surveys. Several magnitude-limited samples were built that reproduce various levels of magnification bias ranging from s = 0 to s = 1.2, where s is the logarithmic slope of the cumulative magnitude number counts, in three redshift intervals within 1 1.3 and can reach 10% at z ≃ 1.8, depending on the properties of the target sample. In our data, adding the lensing linear correction allowed us to recover an unbiased estimate of the growth rate in most cases when the correction was small, even when the fiducial cosmology was different from that of the data. For larger corrections (high redshifts, low bias, and high s value), we find that the weak-lensing limit has to be treated with caution as it may no longer be a good approximation. Our results also show the importance of knowing s in advance instead of letting this parameter free with flat priors because in this case, the error bars increase significantly. This work was granted access to HPC resources of TGCC/CINES through allocations made by GENCI (Grand Équipement National de Calcul Intensif) under the allocation 2020-A0070402287. The project leading to this publication has received funding from Excellence Initiative of Aix-Marseille University – A*MIDEX, a French “Investissements d’Avenir” programme (AMX-19-IET-008 – IPhU). |
Databáze: | OpenAIRE |
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