Cosmology from LOFAR Two-metre Sky Survey Data Release 2: Cross-correlations with luminous red galaxies from eBOSS
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1.
Bielefeld University
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2.
Guangdong Technion-Israel Institute of Technology
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3.
Chinese Academy of Sciences
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University of Chinese Academy of Sciences
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Beijing Normal University
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6.
University of Portsmouth
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University of Turin
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8.
INFN Sezione di Torino
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9.
Osservatorio Astrofisico di Torino
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Heidelberg University
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University of Oxford
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12.
California Institute of Technology
Abstract
Aims. We cross-correlated galaxies from the LOw-Frequency ARray (LOFAR) Two-metre Sky Survey (LoTSS) second data release (DR2) radio source with the extended Baryon Oscillation Spectroscopic Survey (eBOSS) luminous red galaxy (LRG) sample to extract the baryon acoustic oscillation (BAO) signal and constrain the linear clustering bias of radio sources in LoTSS DR2.
Methods. In the LoTSS DR2 catalogue, employing a flux density limit of 1.5 mJy at the central LoTSS frequency of 144 MHz and a signal-to-noise ratio (S/N) of 7.5, additionally considering eBOSS LRGs with redshifts between 0.6 and 1, we measured both the angular LoTSS-eBOSS cross-power spectrum and the angular eBOSS auto-power spectrum. These measurements were performed across various eBOSS redshift tomographic bins with a width of Δz = 0.06. By marginalising over the broadband shape of the angular power spectra, we searched for a BAO signal in cross-correlation with radio galaxies, and determine the linear clustering bias of LoTSS radio sources for a constant-bias and an evolving-bias model.
Results. Using the cross-correlation, we measured the isotropic BAO dilation parameter as α = 1.01 ± 0.11 at zeff = 0.63. By combining four redshift slices at zeff = 0.63, 0.69, 0.75, and 0.81, we determined a more constrained value of α = 0.968−0.095+0.060. For the entire redshift range of zeff = 0.715, we measured bC = 2.64 ± 0.20 for the constant-bias model, b(z0) = bC, and then bD = 1.80 ± 0.13 for the evolving-bias model, b(z) = bD/D(z), with D(z) denoting the growth rate of linear structures. Additionally, we measured the clustering bias for individual redshift bins.
Conclusions. We detected the cross-correlation of LoTSS radio sources and eBOSS LRGs at a 9.2σ statistical significance for one single redshift bin and at a 14.7σ significance when the four redshift bins were combined. For the BAO signal, we achieved a significance of 2.2σ for a single redshift bin, 2.7σ for the combined cross-correlation and eBOSS auto-correlation, and 4σ for the combined analysis of four redshift bins in the cross-correlation, when assuming a Gaussian distribution for the BAO dilation parameter.
Copyright and License
© The Authors 2025.
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Acknowledgement
We thank eBOSS collaboration and David Alonso, Julian Bautista, Cheng Zhao, Minas Karamanis for insightful discussions. JZ acknowledge support by the project “NRW-Cluster for data intensive radio astronomy: Big Bang to Big Data (B3D) “funded through the programme “Profilbildung 2020”, an initiative of the Ministry of Culture and Science of the State of North Rhine-Westphalia.” PT acknowledges the support of the RFIS grant (No. 12150410322) by the National Natural Science Foundation of China (NSFC). GBZ is supported by the National Key R & D Program of China (2023YFA1607800, 2023YFA1607803), NSFC grants 11925303 and 11890691, by the CAS Project for Young Scientists in Basic Research (No. YSBR-092), by science research grants from the China Manned Space Project with No. CMS-CSST-2021-B01, and the New Cornerstone Science Foundation through the XPLORER prize. DJS acknowledges support from the Bundesministerium für Bildung und Forschung (BMBF) ErUM-Pro grant 05A20PB1 and Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfahlen Profilbildung 2020 grant B3D. CH’s work is funded by the Volkswagen Foundation. CH acknowledges additional support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2181/1 - 390900948 (the Heidelberg STRUCTURES Excellence Cluster). SC acknowledges support from the Italian Ministry of University and Research, PRIN 2022 ‘EXSKALIBUR – Euclid-Cross-SKA: Likelihood Inference Building for Universe Research’, from the Italian Ministry of Foreign Affairs and International Cooperation (grant no. ZA23GR03), and from the European Union – Next Generation EU. SJN is supported by the US National Science Foundation (NSF) through grant AST-2108402. MP acknowledges support from the Bundesministerium für Bildung und Forschung (BMBF) ErUM-IFT 05D23PB1. LOFAR is the Low Frequency Array designed and constructed by ASTRON. It has observing, data processing, and data storage facilities in several countries, which are owned by various parties (each with their own funding sources), and which are collectively operated by the ILT foundation under a joint scientific policy. The ILT resources have benefited from the following recent major funding sources: CNRS-INSU, Observatoire de Paris and Université d’Orléans, France; BMBF, MIWF-NRW, MPG, Germany; Science Foundation Ireland (SFI), Department of Business, Enterprise and Innovation (DBEI), Ireland; NWO, The Netherlands; The Science and Technology Facilities Council, UK; Ministry of Science and Higher Education, Poland; The Istituto Nazionale di Astrofisica (INAF), Italy. Funding for the Sloan Digital Sky Survey V has been provided by the Alfred P. Sloan Foundation, the Heising-Simons Foundation, the National Science Foundation, and the Participating Institutions. SDSS acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. SDSS telescopes are located at Apache Point Observatory, funded by the Astrophysical Research Consortium and operated by New Mexico State University, and at Las Campanas Observatory, operated by the Carnegie Institution for Science. The SDSS web site is www.sdss.org. SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration, including Caltech, The Carnegie Institution for Science, Chilean National Time Allocation Committee (CNTAC) ratified researchers, The Flatiron Institute, the Gotham Participation Group, Harvard University, Heidelberg University, The Johns Hopkins University, L’Ecole polytechnique fédérale de Lausanne (EPFL), Leibniz-Institut für Astrophysik Potsdam (AIP), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Max-Planck-Institut für Extraterrestrische Physik (MPE), Nanjing University, National Astronomical Observatories of China (NAOC), New Mexico State University, The Ohio State University, Pennsylvania State University, Smithsonian Astrophysical Observatory, Space Telescope Science Institute (STScI), the Stellar Astrophysics Participation Group, Universidad Nacional Autónoma de México, University of Arizona, University of Colorado Boulder, University of Illinois at Urbana-Champaign, University of Toronto, University of Utah, University of Virginia, Yale University, and Yunnan University. This research was conducted using Python 3 (Van Rossum & Drake 2009) along with several key software packages that were crucial for our analysis, including: healpy (Zonca et al. 2019), HEALPix (Gorski et al. 1999; Górski et al. 2005), Astropy (Astropy Collaboration 2013, 2018, 2022), pymaster (Alonso et al. 2019), pyccl (Chisari et al. 2019), getdist (Lewis 2019), NumPy (Harris 2020), SciPy (Virtanen et al. 2020), IPython (Perez & Granger 2007), Pandas (McKinney 2010), Matplotlib (Hunter 2007), and seaborn (Waskom 2021).
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Additional details
- State Government of North Rhine Westphalia
- National Natural Science Foundation of China
- 12150410322
- Ministry of Science and Technology of the People's Republic of China
- National Key R&D Program of China 2023YFA1607800
- Ministry of Science and Technology of the People's Republic of China
- National Key R&D Program of China 2023YFA1607803
- National Natural Science Foundation of China
- 11925303
- National Natural Science Foundation of China
- 11890691
- Chinese Academy of Sciences
- YSBR-092
- Federal Ministry of Education and Research
- 05A20PB1
- Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
- Volkswagen Foundation
- Deutsche Forschungsgemeinschaft
- EXC 2181/1 - 390900948
- Ministero dell'università e della ricerca
- Ministero degli Affari Esteri
- ZA23GR03
- European Union
- National Science Foundation
- AST-2108402
- Federal Ministry of Education and Research
- ErUM-IFT 05D23PB1
- Accepted
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2025-03-30
- Available
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2025-05-29Published online
- Caltech groups
- Division of Physics, Mathematics and Astronomy (PMA)
- Publication Status
- Published