TL;DR
This paper presents an automated VLBI survey imaging over 1000 radio sources, revealing diverse and previously unknown extended radio structures within a 1.5-arcsec radius, enabling large-scale statistical and discovery potential.
Contribution
It introduces an automated imaging process for wide-field VLBI surveys, expanding the field of view and uncovering new radio source phenomena.
Findings
Detected a variety of extended radio structures
Discovered previously unknown radio source features
Imaged over 1000 sources within a 1.5-arcsec radius
Abstract
The observation and imaging of hundreds or thousands of radio sources with the technique of very long baseline interferometry (VLBI) is a computationally intensive task. However, these surveys allow us to conduct statistical investigations of large source samples, and also to discover new phenomena or types of objects. The field of view of these high-resolution VLBI imaging observations is typically a few arcseconds at cm wavelengths. For practical reasons, often a much smaller fraction of the field, the central region is imaged only. With an automated process we imaged the ~1.5-arcsec radius fields around more than 1000 radio sources, and found a variety of extended radio structures. Some of them are yet unknown in the literature.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Open our eyes to wider fields in VLBI surveys
Kristóf Rozgonyi1
Sándor Frey2,3
1Department of Physics of Complex Systems, Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117 Budapest, Hungary
e-mail: [email protected]
2FÖMI Satellite Geodetic Observatory, PO Box 585, H-1592 Budapest, Hungary
3Konkoly Observatory, MTA CSFK, PO Box 67, H-1525 Budapest, Hungary
e-mail: [email protected]
(2016)
Abstract
The observation and imaging of hundreds or thousands of radio sources with the technique of very long baseline interferometry (VLBI) is a computationally intensive task. However, these surveys allow us to conduct statistical investigations of large source samples, and also to discover new phenomena or types of objects. The field of view of these high-resolution VLBI imaging observations is typically a few arcseconds at cm wavelengths. For practical reasons, often a much smaller fraction of the field, the central region is imaged only. With an automated process we imaged the 1.5-arcsec radius fields around more than 1000 radio sources, and found a variety of extended radio structures. Some of them are yet unknown in the literature.
keywords:
surveys, techniques: interferometric, radio continuum: galaxies
††volume: 324††journal: New Frontiers in Black Hole Astrophysics††editors: A.C. Editor, B.D. Editor & C.E. Editor, eds.
1 Treasure-house of data: VIPS
We examined the VLBA Imaging and Polarimetry Survey (VIPS, [Helmboldt et al. (2007), Helmboldt et al. 2007]). It contains 1127 AGN observations taken at 5 GHz with the Very Long Baseline Array (VLBA). The calibrated VLBI visibility data sets can be downloaded from the VIPS data collection index page111http://www.phys.unm.edu/$\sim$gbtaylor/VIPS/vipscat/vipsncapindx.shtml. The original field of view of the interferometer was 1.5 arcsec but the imaging was typically preformed only in the central area of 128 mas 128 mas. Even though large structures were reported in the original publication and subsequent studies ([Helmboldt et al. (2007), Helmboldt et al. 2007], [Tremblay et al. (2016), Tremblay et al. 2016]), we could find further objects in the full-field images with structures extending beyond the central area.
2 Imaging of the extended field
The large sample size and the extended fields motivated us to image the sources and analyse the data in an automated way. The imaging and model fitting were performed through standard procedures using Difmap ([Shepherd et al. (1994), Shepherd et al. 1994]). We modeled the visibility data with a central elliptical Gaussian component. In addition, extended structures were fitted with circular Gaussians. The number of these components was determined by the signal-to-noise ratio (SNR) in the residual map. We applied a 6- threshold for fitting a new component, as done in [Helmboldt et al. (2007), Helmboldt et al. (2007)]. Thereafter, we calculated the separation of the circular components from the central elliptical Gaussian. We marked the sources with at least one fitted component farther away than 50 mas from the centre as candidates for having large-scale structure within the full VLBA field of view.
3 Results and plans for the future
We found 60 sources as candidates with extended structure among the 1127 VIPS sources. To check the quality of the candidate sample, we visually inspected all the wide-field images. We found that in a few cases the distant components are unreliable because of the low flux density of the fitted components. An increased SNR threshold in the automated model-fitting procedure would eliminate these questionable cases. Further quantitative classification of the sample is needed (and planned). Published information from the literature, analysis of archival data, and eventually new targeted observations would be necessary to reveal the true nature of these objects, on a case-by-case basis. These sources show great diversity in morphology and brightness. The large, typically 0.1–1 kpc structures could most probably be extended jet structures. However, the possibility of dual radio AGN or gravitationally lensed radio sources should also be investigated. As an illustration, we present an example from the candidate sample (Fig. 1).
We plan to perform the same automated procedure with other publicly available survey data, in a hope to find further objects with VLBI structure extended beyond what is already known.
Acknowledgements.
This work was supported by the Hungarian National Research, Development and Innovation Office (OTKA NN110333). KR thanks the ÚNKP-16-2 New National Excellence Program of the Ministry of Human Capacities for support.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[Helmboldt et al. (2007)] Helmboldt, J.F. et al. 2007, Ap J , 658, 203
- 2[Shepherd et al. (1994)] Shepherd, M.C., Pearson, T.J., & Taylor, G.B. 1994, BAAS , 26, 987
- 3[Tremblay et al. (2016)] Tremblay, S.E. et al. 2016, MNRAS , 459, 820
