Alignment in the orientation of LOFAR radio sources
arXiv:2008.10947 · doi:10.1051/0004-6361/202037680
Abstract
Various studies have laid claim to finding an alignment of the polarization vectors or radio jets of active galactic nuclei (AGN) over large distances, but these results have proven controversial and so far, there is no clear explanation for this observed alignment. To investigate this case further, we tested the hypothesis that the position angles of radio galaxies are randomly oriented in the sky by using data from the Low-Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS). A sample of 7,555 double-lobed radio galaxies was extracted from the list of 318,520 radio sources in the first data release of LoTSS at 150 MHz. We performed statistical tests for uniformity of the two-dimensional (2D) orientations for the complete 7,555 source sample. We also tested the orientation uniformity in three dimensions (3D) for the 4,212 source sub-sample with photometric or spectroscopic redshifts. Our sample shows a significant deviation from uniformity (p-value < ) in the 2D analysis at angular scales of about four degrees, mainly caused by sources with the largest flux densities. No significant alignment was found in the 3D analysis. Although the 3D analysis has access to fewer sources and suffers from uncertainties in the photometric redshift, the lack of alignment in 3D points towards the cause of the observed effect being unknown systematics or biases that predominantly affect the brightest sources, although this has yet to be demonstrated irrefutably and should be the subject of subsequent studies.
arXiv comment10 pages, 13 figures. Accepted for publication in Astronomy & Astrophysics
References in corpus (22)
- Planck 2015 results. XIII. Cosmological parameters
- Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
- The many lives of active galactic nuclei: cooling flows, black holes and the luminosities and colours of galaxies
- LOFAR: The LOw-Frequency ARray
- The LOFAR Two-metre Sky Survey - II. First data release
- Connecting the cosmic web to the spin of dark halos: implications for galaxy formation
- The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue
- Swirling around filaments: are large-scale structure vortices spinning up dark halos?
- Galaxy orientation with the cosmic web across cosmic time
- Confirmation of the existence of coherent orientations of quasar polarization vectors on cosmological scales
- Alignment of quasar polarizations with large-scale structures
- And yet it flips: connecting galactic spin and the cosmic web
- The LOFAR Two-metre Sky Survey IV. First Data Release: Photometric redshifts and rest-frame magnitudes
- Alignments of Radio Galaxies in Deep Radio Imaging of ELAIS N1
- Large Scale Alignment of Optical Polarizations from Distant QSOs using Coordinate Invariant Statistics
- SKA Weak Lensing I: Cosmological Forecasts and the Power of Radio-Optical Cross-Correlations
- Why Are AGN and Host Galaxies Misaligned?
- SKA Weak Lensing II: Simulated Performance and Survey Design Considerations
- Radio Galaxy Zoo: Cosmological Alignment of Radio Sources
- Evidence for the alignment of quasar radio polarizations with large quasar group axes
- Polarization Alignment in JVAS/CLASS flat spectrum radio surveys
- The Kolmogorov-Smirnov test for the CMB
Cited by in corpus (9)
- Is the Observable Universe Consistent with the Cosmological Principle?
- Fanaroff-Riley classification of radio galaxies using group-equivariant convolutional neural networks
- Large-scale clustering amongst Fermi blazars; evidence for axis alignments?
- Revisiting the alignment of radio galaxies in the ELAIS-N1 field
- Local alignments of parsec-scale AGN radiojets
- Radio AGN jet alignment: Radio and Optical Position Angle of Radio Galaxies
- EMU and the DRAGNs I: A Catalogue of DRAGNs
- A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey
- The phase-space of tailed radio galaxies in massive clusters