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2021ApJS..253...57S - Astrophys. J., Suppl. Ser., 253, 57-57 (2021/April-0)

Geometric distances of quasars measured by spectroastrometry and reverberation mapping: Monte Carlo simulations.

SONGSHENG Y.-Y., LI Y.-R., DU P. and WANG J.-M.

Abstract (from CDS):

Recently, GRAVITY on board the Very Large Telescope Interferometer (VLTI) first spatially resolved the structure of the quasar 3C 273 with an unprecedented resolution of ∼10 µas. A new method of measuring parallax distances has been successfully applied to the quasar through joint analysis of spectroastrometry (SA) and reverberation mapping (RM) observation of its broad-line region (BLR). The uncertainty of this SA and RM (SARM) measurement is about 16% from real data, showing its great potential as a powerful tool for precision cosmology. In this paper, we carry out detailed analyses of mock data to study impacts of data qualities of SA observations on distance measurements and establish a quantitative relationship between statistical uncertainties of distances and relative errors of differential phases. We employ a circular disk model of the BLR for the SARM analysis. We show that SARM analyses of observations generally generate reliable quasar distances, even for relatively poor SA measurements with error bars of 40% at peaks of phases. Inclinations and opening angles of BLRs are the major parameters governing distance uncertainties. It is found that BLRs with inclinations >=10° and opening angles <=40° are the most reliable regimes from SARM analysis for distance measurements. Through analysis of a mock sample of AGNs generated by quasar luminosity functions, we find that if the GRAVITY/GRAVITY+ can achieve a phase error of 0.°1 per baseline for targets with magnitudes K <= 11.5, the SARM campaign can constrain H0 to an uncertainty of 2% by observing 60 targets.

Abstract Copyright: © 2021. The American Astronomical Society. All rights reserved.

Journal keyword(s): Distance measure - Reverberation mapping - Optical interferometry - Hubble constant

Simbad objects: 7

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