Precise self-calibration of interloper bias in spectroscopic surveys

Author:

Peng Hui12ORCID,Yu Yu12ORCID

Affiliation:

1. Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University , 800 Dongchuan Road , Shanghai 200240, China

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

Abstract

ABSTRACT Interloper contamination due to line misidentification is an important issue in the future low-resolution spectroscopic surveys. We realize that the algorithm previously used for photometric redshift self-calibration, with minor modifications, can be particularly applicable to calibrate the interloper bias. In order to explore the robustness of the modified self-calibration algorithm, we construct the mock catalogues based on China Space Station Telescope (CSST), taking two main target emission lines, Hα and [O iii]. The self-calibration algorithm is tested in cases with different interloper fractions at 1 per cent, 5 per cent, and 10 per cent. We find that the interloper fraction and mean redshift in each redshift bin can be successfully reconstructed at the level of ∼ 0.002 and ∼ 0.001(1 + z), respectively. We also find the impact of the cosmic magnification can be significant, which is usually ignored in previous works, and therefore propose a convenient and efficient method to eliminate it. Using the elimination method, we show that the calibration accuracy can be effectively recovered with slightly larger uncertainty.

Funder

National Science Foundation of China

Shanghai Jiao Tong University

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting interloper fraction with graph neural networks;Journal of Cosmology and Astroparticle Physics;2023-12-01

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