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Black Hole

Lensing of space time around a black hole. At Oxford we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Lance Miller

Professor of Astrophysics

Research theme

  • Astronomy and astrophysics

Sub department

  • Astrophysics

Research groups

  • Beecroft Institute for Particle Astrophysics and Cosmology
  • Cosmology
  • Euclid
Lance.Miller@physics.ox.ac.uk
  • About
  • Publications

Coevolution of dark matter halos and black holes

ASTR SOC P 379 (2007) 273-275

Authors:

A Babic, L Miller, W Percival, S Croorn

Abstract:

We investigate a model of the coevolution of black holes and dark matter halos. The evolution of dark matter halos is based on the Press-Schechter theory. Assuming a simple relation between dark matter halos and supermassive black holes enables us to reproduce both the observed evolving hard X-ray luminosity function and the X-ray background.
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Observational links between AGN evolution and galaxy growth

ASTR SOC P 379 (2007) 194-201

Abstract:

There is growing interest in the possible link between the growth of supermassive black holes and the effect of feedback from them on galaxy growth. There are three areas of significant uncertainty: (i) the physics of the feedback; (ii) the prevalence and effectiveness of feedback; (iii) the link between the growth of black holes and their hosts. The 2QZ optical QSO survey indicates that luminous QSOs are relatively short-lived, and it has recently been shown that the observed bolometric luminosity density from all AGN and its evolution can be reproduced if black holes grew coevally with their galaxies, implying but not requiring a causal link between galaxy growth and black hole growth. At low redshifts there is some evidence that black hole and galaxy growth are starting to decouple.
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The cosmological history of accretion onto dark halos and supermassive black holes

Astronomy and Astrophysics 459 (2006) 43-54

Authors:

L Miller, Percival, W.J., Croom, S.M., Babic, A.
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The evolution of host mass and black hole mass in QSOs from the 2dF QSO Redshift Survey

ArXiv astro-ph/0609270 (2006)

Authors:

S Fine, SM Croom, L Miller, A Babic, D Moore, B Brewer, RG Sharp, BJ Boyle, T Shanks, RJ Smith, PJ Outram, NS Loaring

Abstract:

We investigate the relation between the mass of super-massive black holes (Mbh) in QSOs and the mass of the dark matter halos hosting them (Mdh). We measure the widths of broad emission lines (Mgii lambda 2798, Civ lambda 1549) from QSO composite spectra as a function of redshift. These widths are then used to determine virial black hole mass estimates. We compare our virial black hole mass estimates to dark matter halo masses for QSO hosts derived by Croom et al. (2005) based on measurements of QSO clustering. This enables us to trace the Mbh-Mdh relation over the redshift range z=0.5 to 2.5. We calculate the mean zero-point of the Mbh-Mdh relation to be Mbh=10^(8.4+/-0.2)Msun for an Mdh=10^(12.5)Msun. These data are then compared with several models connecting Mbh and Mdh as well as recent hydrodynamical simulations of galaxy evolution. We note that the flux limited nature of QSO samples can cause a Malmquist-type bias in the measured zero-point of the Mbh-Mdh relation. The magnitude of this bias depends on the scatter in the Mbh-Mdh relation, and we reevaluate the zero-point assuming three published values for this scatter. (abridged)
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Bayesian Photometric Redshifts for Weak Lensing Applications

ArXiv astro-ph/0607302 (2006)

Authors:

Edward Edmondson, Lance Miller, Christian Wolf

Abstract:

The next generation of weak gravitational lensing surveys is capable of generating good measurements of cosmological parameters, provided that, amongst other requirements, adequate redshift information is available for the background galaxies that are measured. It is frequently assumed that photometric redshift techniques provide the means to achieve this. Here we compare Bayesian and frequentist approaches to photometric redshift estimation, particularly at faint magnitudes. We identify and discuss the biases that are inherent in the various methods, and describe an optimum Bayesian method for extracting redshift distributions from photometric data.
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