Measurement of the photometric baryon acoustic oscillations with self-calibrated redshift distribution

Author:

Song Ruiyu12,Chan Kwan Chuen12ORCID,Xu Haojie345ORCID,Zheng Weilun12

Affiliation:

1. School of Physics and Astronomy, Sun Yat-Sen University , 2 Daxue Road, Tangjia, Zhuhai 519082 , China

2. CSST Science Center for the Guangdong-Hongkong-Macau Greater Bay Area, SYSU , Zhuhai 519082 , China

3. Shanghai Astronomical Observatory, Chinese Academy of Sciences , Nandan Road 80, Shanghai 200240 , China

4. Department of Astronomy, Shanghai Jiao Tong University , Shanghai 200240 , China

5. Key Laboratory for Particle Astrophysics and Cosmology (MOE)/Shanghai Key Laboratory for Particle Physics and Cosmology , Shanghai 200240 , China

Abstract

ABSTRACT We use a galaxy sample derived from the Dark Energy Camera Legacy Survey Data Release 9 to measure the baryonic acoustic oscillations (BAO). The magnitude-limited sample consists of 10.6 million galaxies in an area of 4974 deg2 over the redshift range of [0.6, 1]. A key novelty of this work is that the true redshift distribution of the photo-z sample is derived from the self-calibration method, which determines the true redshift distribution using the clustering information of the photometric data alone. Through the angular correlation function in four tomographic bins, we constrain the BAO scale dilation parameter α to be 1.025 ± 0.033, consistent with the fiducial Planck cosmology. Alternatively, the ratio between the comoving angular diameter distance and the sound horizon, DM/rs, is constrained to be 18.94 ± 0.61 at the effective redshift of 0.749. We corroborate our results with the true redshift distribution obtained from a weighted spectroscopic sample, finding very good agreement. We have conducted a series of tests to demonstrate the robustness of the measurement. Our work demonstrates that the self-calibration method can effectively constrain the true redshift distribution in cosmological applications, especially in the context of photometric BAO measurement.

Funder

National Science Foundation of China

Publisher

Oxford University Press (OUP)

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