SMILE: Discriminating milli-lens systems in a VLBI pilot project
Abstract
Context. Dark matter (DM) remains poorly probed on critical sub-galactic scales, where predictions from different models diverge in terms of abundance and density profiles of halos. Gravitational lens systems on milli-arcsecond scales (milli-lenses) are expected for a population of dense DM halos (free-floating or sub-halos) and free-floating supermassive black holes (SMBHs) in the mass range of 106 to 109 M⊙ that might partly be comprised of primordial black holes (PBHs).
Aims. In this paper, we aim to look for possible milli-lens systems via a systematic search in a large sample of radio-loud active galactic nuclei (AGN) observed with very long baseline interferometry (VLBI). We present the observational strategy to discriminate milli-lens systems from contaminant objects mimicking a milli-lens morphology.
Methods. In a pilot project, we have investigated VLBI images from 13 828 sources from the Astrogeo VLBI image database and reduced the number of lens candidates to 40 in a first step. We present here the images and analysis of new sensitive follow-up observations with the European VLBI network at 5 and 22 GHz and streamline our analysis to reject milli-lens candidates. By using constraints such as the surface brightness ratio, conservation of spectral shape, stability of flux ratios over time, and changes in morphology at higher frequencies, we can confidently discriminate between milli-lenses and contaminant objects that mimick them.
Results. Using the above constraints, we ruled out 31 of our initial 40 candidates of milli-lens systems, demonstrating the power of our approach. In addition, we found many new candidate compact symmetric objects (CSOs), which are thought to be primarily short-lived jetted radio sources.
Conclusions. Additional observations of the remaining candidates will be necessary to confirm or reject their nature as milli-lenses or CSOs. This study serves as a pathfinder for the final sample used for the Search for MIlli-LEnses (SMILE) project, which will allow DM models to be constrained by comparing the results to theoretical predictions. This SMILE sample will consist of ∼5000 sources based on the VLA CLASS survey and will include many observations obtained for this project specifically.
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 the anonymous referee for the very useful suggestions and comments on the manuscript. F.P., C.C., D.A., A.K., V.M. & D.B. acknowledge support from the European Research Council (ERC) under the Horizon ERC Grants 2021 programme under grant agreement No. 101040021. We thank Rocco Lico for the useful discussions. We would also like to thank Leonid Petrov for maintaining the Astrogeo VLBI FITS image database and A. Bertarini, L. Vega Garcia, N. Corey, Y. Cui, L. Gurvits, X. He, T. Koryukova, Y. Y. Kovalev, S.-S. Lee, R. Lico, E. Liuzzo, A. Marscher, S. Jorstad, C. Marvin, D. Homan, J.-L. Gomez, M. Lister, A. Pushkarev, E. Ros, T. Savolainen, L. Petrov, A. Popkov, K. Sokolovski, A. Tao, G. Taylor, A. de Witt, M. Xu, and B. Zhang for making VLBI images they produced publicly available. We found that the practice of uploading VLBI images to a publicly available database brings great benefits to the scientific community. The European VLBI Network is a joint facility of independent European, African, Asian, and North American radio astronomy institutes. Scientific results from data presented in this publication are derived from the following EVN project code(s): EC071. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. 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 http://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.
Data Availability
The appendices containing VLBI images and tables of the remaining sources, as well as radio spectra and optical images can be found on Zenodo.
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Additional details
- Alternative title
- SMILE: Discriminating milli-lens systems in a pilot project
- European Research Council
- GA101040021
- Accepted
-
2025-01-17Accepted
- Available
-
2025-03-18Published online
- Caltech groups
- Astronomy Department, Owens Valley Radio Observatory, Division of Physics, Mathematics and Astronomy (PMA)
- Publication Status
- Published