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Biased Tracer Reconstruction with Halo Mass Information

Liu, Yu; Yu, Yu; Li, Baojiu

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Authors

Yu Liu

Yu Yu



Abstract

Plenty of crucial information about our Universe is encoded in the cosmic large-scale structure (LSS). However, the extractions of these information are usually hindered by the nonlinearities of the LSS, which can be largely alleviated by various techniques known as the reconstruction. In realistic applications, the efficiencies of these methods are always degraded by many limiting factors, a quite important one being the shot noise induced by the finite number density of biased matter tracers (i.e., luminous galaxies or dark matter halos) in observations. In this work, we explore the gains of biased tracer reconstruction achieved from halo mass information, which can suppress shot noise component and dramatically improves the cross-correlation between tracer field and dark matter. To this end, we first closely study the clustering biases and the stochasticity properties of halo fields with various number densities under different weighting schemes, i.e., the uniform, mass and optimal weightings. Then, we apply the biased tracer reconstruction method to these different weighted halo fields and investigate how linear bias and observational mass scatter affect the reconstruction performance. Our results demonstrate that halo masses are critical information for significantly improving the performance of biased tracer reconstruction, indicating a great application potential for substantially promoting the precision of cosmological measurements [especially for baryon acoustic oscillations (BAO)] in the ambitious on-going and future galaxy surveys.

Citation

Liu, Y., Yu, Y., & Li, B. (2021). Biased Tracer Reconstruction with Halo Mass Information. Astrophysical Journal Supplement, 254(1), Article 4. https://doi.org/10.3847/1538-4365/abe868

Journal Article Type Article
Acceptance Date Feb 20, 2021
Online Publication Date Apr 23, 2021
Publication Date 2021-05
Deposit Date Jul 22, 2021
Publicly Available Date Jan 17, 2022
Journal Astrophysical Journal Supplement
Print ISSN 0067-0049
Electronic ISSN 1538-4365
Publisher American Astronomical Society
Peer Reviewed Peer Reviewed
Volume 254
Issue 1
Article Number 4
DOI https://doi.org/10.3847/1538-4365/abe868

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Copyright Statement
This is an author-created, un-copyedited version of an article published in The Astrophysical Journal Supplement Series. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version<br /> derived from it. The Version of Record is available online at https://doi.org/10.3847/1538-4365/abe868.







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