Selection bias in dynamically measured supermassive black hole samples: its consequences and the quest for the most fundamental relation

@article{Shankar2016SelectionBI,
  title={Selection bias in dynamically measured supermassive black hole samples: its consequences and the quest for the most fundamental relation},
  author={Francesco Shankar and Mariangela Bernardi and Ravi K. Sheth and Laura Ferrarese and Alister W. Graham and Giulia A. D. Savorgnan and Viola Allevato and Alessandro Marconi and Ronald Laesker and Andrea Lapi University of Southampton and University of Pennsylvania and Herzberg Institute of Astrophysics and Victoria. and Centre for Astrophysics and Supercomputing and Swinburne University of Technology and University of Helsinki and Universita' di Firenze and Max Planck Institute for Radio Astronomy and Sissa and Trieste},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2016},
  volume={460},
  pages={3119-3142}
}
  • Francesco Shankar, Mariangela Bernardi, +18 authors Trieste
  • Published 2016
  • Physics
  • Monthly Notices of the Royal Astronomical Society
  • We compare the set of local galaxies having dynamically measured black holes with a large, unbiased sample of galaxies extracted from the Sloan Digital Sky Survey. We confirm earlier work showing that the majority of black hole hosts have significantly higher velocity dispersions ? than local galaxies of similar stellar mass. We use Monte Carlo simulations to illustrate the effect on black hole scaling relations if this bias arises from the requirement that the black hole sphere of influence… CONTINUE READING

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