5
views
0
comments
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A geometric distance to the supermassive black Hole of NGC 3783

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The angular size of the broad line region (BLR) of the nearby active galactic nucleus NGC 3783 has been spatially resolved by recent observations with VLTI/GRAVITY. A reverberation mapping (RM) campaign has also recently obtained high quality light curves and measured the linear size of the BLR in a way that is complementary to the GRAVITY measurement. The size and kinematics of the BLR can be better constrained by a joint analysis that combines both GRAVITY and RM data. This, in turn, allows us to obtain the mass of the supermassive black hole in NGC 3783 with an accuracy that is about a factor of two better than that inferred from GRAVITY data alone. We derive M BH = 2.54 −0.72 +0.90 × 10 7 M . Finally, and perhaps most notably, we are able to measure a geometric distance to NGC 3783 of 39.9 −11.9 +14.5 Mpc. We are able to test the robustness of the BLR-based geometric distance with measurements based on the Tully–Fisher relation and other indirect methods. We find the geometric distance is consistent with other methods within their scatter. We explore the potential of BLR-based geometric distances to directly constrain the Hubble constant, H 0, and identify differential phase uncertainties as the current dominant limitation to the H 0 measurement precision for individual sources.

          Related collections

          Most cited references105

          • Record: found
          • Abstract: not found
          • Article: not found

          Matplotlib: A 2D Graphics Environment

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Astropy: A community Python package for astronomy

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The NumPy Array: A Structure for Efficient Numerical Computation

                Bookmark

                Author and article information

                Journal
                Astronomy & Astrophysics
                A&A
                EDP Sciences
                0004-6361
                1432-0746
                October 2021
                October 15 2021
                October 2021
                : 654
                : A85
                Article
                10.1051/0004-6361/202141426
                e560f40b-9418-4524-8f29-7320acd4ee74
                © 2021

                https://creativecommons.org/licenses/by/4.0

                History

                Comments

                Comment on this article