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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

The morphologies and magnetic field structures of six 3CR double radio galaxies

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 215:4 (1985) 773-797
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Non-stellar radiation in radio galaxies at 3.5 µm

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 214:2 (1985) 109-118

Authors:

SJ Lilly, MS Longair, L Miller
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An X-ray survey of a complete sample of 3CR radio galaxies

The Astrophysical Journal American Astronomical Society 277 (1984) 115

Authors:

G Fabbiano, G Trinchieri, M Elvis, L Miller, M Longair
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Cosmological Simulations for Combined-Probe Analyses: Covariance and Neighbour-Exclusion Bias

Authors:

J Harnois-Deraps, A Amon, A Choi, V Demchenko, C Heymans, A Kannawadi, R Nakajima, E Sirks, LV Waerbeke, Y-C Cai, B Giblin, H Hildebrandt, H Hoekstra, Lance Miller, T Troester

Abstract:

We present a public suite of weak lensing mock data, extending the Scinet Light Cone Simulations (SLICS) to simulate cross-correlation analyses with different cosmological probes. These mocks include KiDS-450- and LSST-like lensing data, cosmic microwave background lensing maps and simulated spectroscopic surveys that emulate the GAMA, BOSS and 2dFLenS galaxy surveys. With 817 independent realisations, our mocks are optimised for combined-probe covariance estimation, which we illustrate for the case of a joint measurement involving cosmic shear, galaxy-galaxy lensing and galaxy clustering from KiDS-450 and BOSS data. With their high spatial resolution, the SLICS are also optimal for predicting the signal for novel lensing estimators, for the validation of analysis pipelines, and for testing a range of systematic effects such as the impact of neighbour-exclusion bias on the measured tomographic cosmic shear signal. For surveys like KiDS and DES, where the rejection of neighbouring galaxies occurs within ~2 arcseconds, we show that the measured cosmic shear signal will be biased low, but by less than a percent on the angular scales that are typically used in cosmic shear analyses. The amplitude of the neighbour-exclusion bias doubles in deeper, LSST-like data. The simulation products described in this paper are made available at http://slics.roe.ac.uk/.
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Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments

Authors:

Euclid Collaboration, P Paykari, Td Kitching, H Hoekstra, R Azzollini, Vf Cardone, M Cropper, Caj Duncan, A Kannawadi, L Miller, H Aussel, If Conti, N Auricchio, M Baldi, S Bardelli, A Biviano, D Bonino, E Borsato, E Bozzo, E Branchini, S Brau-Nogue, M Brescia, J Brinchmann, C Burigana, S Camera, V Capobianco, C Carbone, J Carretero, Fj Castander, M Castellano, S Cavuoti, Y Charles, R Cledassou, C Colodro-Conde, G Congedo, C Conselice, L Conversi, Y Copin, J Coupon, Hm Courtois, A Da Silva, X Dupac, G Fabbian, S Farrens, Pg Ferreira, P Fosalba, N Fourmanoit, M Frailis, M Fumana, S Galeotta

Abstract:

Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. We present an end-to-end approach that introduces sources of bias in a modelled weak lensing survey on a galaxy-by-galaxy level. Residual biases are propagated through a pipeline from galaxy properties (one end) through to cosmic shear power spectra and cosmological parameter estimates (the other end), to quantify how imperfect knowledge of the pipeline changes the maximum likelihood values of dark energy parameters. We quantify the impact of an imperfect correction for charge transfer inefficiency (CTI) and modelling uncertainties of the point spread function (PSF) for Euclid, and find that the biases introduced can be corrected to acceptable levels.
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