Probing the innermost regions of AGN jets and their magnetic fields with RadioAstron. V. Space and ground millimeter-VLBI imaging of OJ 287
Jose L. G\'omez, Efthalia Traianou, Thomas P. Krichbaum, Andrei, Lobanov, Antonio Fuentes, Rocco Lico, Guang-Yao Zhao, Gabriele Bruni, Yuri Y., Kovalev, Anne Lahteenmaki, Petr A. Voitsik, Mikhail M. Lisakov, Emmanouil, Angelakis, Uwe Bach, Carolina Casadio, Ilje Cho

TL;DR
This study uses space and ground millimeter-VLBI imaging to achieve unprecedented resolution of the innermost regions of the AGN jet in OJ 287, revealing magnetic field structures and jet bending consistent with a supermassive binary black hole model.
Contribution
First polarimetric space VLBI observations of OJ 287 at 22 GHz, achieving record angular resolution and providing new insights into jet magnetic fields and structure.
Findings
Achieved highest-ever 22 GHz resolution for OJ 287 at 50 microarcseconds.
Detected jet bending consistent with a supermassive binary black hole model.
Found evidence of a helical magnetic field in the VLBI core.
Abstract
We present the first polarimetric space VLBI observations of OJ 287, observed with RadioAstron at 22 GHz during a perigee session on 2014 April 4 and five near-in-time snapshots, together with contemporaneous ground VLBI observations at 15, 43, and 86 GHz. Ground-space fringes were obtained up to a projected baseline of 3.9 Earth diameters during the perigee session, and at a record 15.1 Earth diameters during the snapshot sessions, allowing us to image the innermost jet at an angular resolution of as, the highest ever achieved at 22 GHz for OJ 287. Comparison with ground-based VLBI observations reveals a progressive jet bending with increasing angular resolution that agrees with predictions from a supermassive binary black hole model, although other models cannot be ruled out. Spectral analyses suggest that the VLBI core is dominated by the internal energy of the emitting…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
