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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.

Adrianne Slyz

Professor of Astrophysics

Sub department

  • Astrophysics

Research groups

  • Beecroft Institute for Particle Astrophysics and Cosmology
Adrianne.Slyz@physics.ox.ac.uk
Telephone: 01865 (2)83013
Denys Wilkinson Building, room 555D
  • About
  • Publications

Redshift and luminosity evolution of the intrinsic alignments of galaxies in Horizon-AGN

(2016)

Authors:

Nora Elisa Chisari, Clotilde Laigle, Sandrine Codis, Yohan Dubois, Julien Devriendt, Lance Miller, Karim Benabed, Adrianne Slyz, Raphael Gavazzi, Christophe Pichon
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Intrinsic alignments of galaxies in the Horizon-AGN cosmological hydrodynamical simulation

Monthly Notices of the Royal Astronomical Society Oxford University Press 454:3 (2015) 2736-2753

Authors:

NE Chisari, S Codis, C Laigle, Y Dubois, C Pichon, Julien Devriendt, A Slyz, L Miller, R Gavazzi, K Benabed

Abstract:

The intrinsic alignments of galaxies are recognised as a contaminant to weak gravitational lensing measurements. In this work, we study the alignment of galaxy shapes and spins at low redshift ($z\sim 0.5$) in Horizon-AGN, an adaptive-mesh-refinement hydrodynamical cosmological simulation box of 100 Mpc/h a side with AGN feedback implementation. We find that spheroidal galaxies in the simulation show a tendency to be aligned radially towards over-densities in the dark matter density field and other spheroidals. This trend is in agreement with observations, but the amplitude of the signal depends strongly on how shapes are measured and how galaxies are selected in the simulation. Disc galaxies show a tendency to be oriented tangentially around spheroidals in three-dimensions. While this signal seems suppressed in projection, this does not guarantee that disc alignments can be safely ignored in future weak lensing surveys. The shape alignments of luminous galaxies in Horizon-AGN are in agreement with observations and other simulation works, but we find less alignment for lower luminosity populations. We also characterize the systematics of galaxy shapes in the simulation and show that they can be safely neglected when measuring the correlation of the density field and galaxy ellipticities.
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Galaxy merger histories and the role of merging in driving star formation at z > 1

Monthly Notices of the Royal Astronomical Society Oxford University Press 452:3 (2015) 2845-2850

Authors:

S Kaviraj, Julien Devriendt, Y Dubois, Adrianne Slyz, C Welker, C Pichon, S Peirani, DL Borgne

Abstract:

We use Horizon-AGN, a hydrodynamical cosmological simulation, to explore the role of mergers in the evolution of massive (M* > 1010 M⊙) galaxies around the epoch of peak cosmic star formation (1 < z < 4). The fraction of massive galaxies in major mergers (mass ratio R < 4: 1) is around 3 per cent, a factor of ∼2.5 lower than minor mergers (4: 1 < R < 10: 1) at these epochs, with no trend with redshift. At z ∼ 1, around a third of massive galaxies have undergone a major merger, while all remaining systems have undergone a minor merger. While almost all major mergers at z > 3 are ‘blue’ (i.e. have significant associated star formation), the proportion of ‘red’ mergers increases rapidly at z < 2, with most merging systems at z ∼ 1.5 producing remnants that are red in rest-frame UV–optical colours. The star formation enhancement during major mergers is mild (∼20–40 per cent) which, together with the low incidence of such events, implies that this process is not a significant driver of early stellar mass growth. Mergers (R < 10: 1) host around a quarter of the total star formation budget in this redshift range, with major mergers hosting around two-thirds of this contribution. Notwithstanding their central importance to the standard Λ cold dark matter paradigm, mergers are minority players in driving star formation at the epochs where the bulk of today's stellar mass was formed.

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Intrinsic alignments of galaxies in the Horizon-AGN cosmological hydrodynamical simulation

(2015)

Authors:

Nora Elisa Chisari, Sandrine Codis, Clotilde Laigle, Yohan Dubois, Christophe Pichon, Julien Devriendt, Adrianne Slyz, Lance Miller, Raphael Gavazzi, Karim Benabed
More details from the publisher

Black hole evolution: I. Supernova-regulated black hole growth

Monthly Notices of the Royal Astronomical Society Oxford University Press 452:2 (2015) 1502-1518

Authors:

Y Dubois, M Volonteri, J Silk, Julien Devriendt, Adrianne Slyz, R Teyssier

Abstract:

The growth of a supermassive black hole (BH) is determined by how much gas the host galaxy is able to feed it, which in turn is controlled by the cosmic environment, through galaxy mergers and accretion of cosmic flows that time how galaxies obtain their gas, but also by internal processes in the galaxy, such as star formation and feedback from stars and the BH itself. In this paper, we study the growth of a 10^12 Msun halo at z=2, which is the progenitor of al group of galaxies at z=0, and of its central BH by means of a high-resolution zoomed cosmological simulation, the Seth simulation. We study the evolution of the BH driven by the accretion of cold gas in the galaxy, and explore the efficiency of the feedback from supernovae (SNe). For a relatively inefficient energy input from SNe, the BH grows at the Eddington rate from early times, and reaches self-regulation once it is massive enough. We find that at early cosmic times z>3.5, efficient feedback from SNe forbids the formation of a settled disc as well as the accumulation of dense cold gas in the vicinity of the BH and starves the central compact object. As the galaxy and its halo accumulate mass, they become able to confine the nuclear inflows provided by major mergers and the BH grows at a sustained near-to-Eddington accretion rate. We argue that this mechanism should be ubiquitous amongst low-mass galaxies, corresponding to galaxies with a stellar mass below <10^9 Msun in our simulations.
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