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91̽»¨
Black Hole

Lensing of space time around a black hole. At 91̽»¨ 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 shape of dark matter haloes: results from weak lensing in the ultraviolet near-infrared optical Northern survey (UNIONS)

Monthly Notices of the Royal Astronomical Society 91̽»¨ University Press (OUP) 523:2 (2023) 1614-1628

Authors:

Bailey Robison, Michael J Hudson, Jean-Charles Cuillandre, Thomas Erben, Sébastien Fabbro, Raphaël Gavazzi, Axel Guinot, Stephen Gwyn, Hendrik Hildebrandt, Martin Kilbinger, Alan McConnachie, Lance Miller, Isaac Spitzer, Ludovic van Waerbeke

KiDS-Legacy calibration: Unifying shear and redshift calibration with the SKiLLS multi-band image simulations

Astronomy & Astrophysics EDP Sciences 670 (2023) a100

Authors:

Shun-Sheng Li, Konrad Kuijken, Henk Hoekstra, Lance Miller, Catherine Heymans, Hendrik Hildebrandt, Jan Luca van den Busch, Angus H Wright, Mijin Yoon, Maciej Bilicki, Matías Bravo, Claudia del P. Lagos

Propagating spatially varying multiplicative shear bias to cosmological parameter estimation for stage-IV weak-lensing surveys

Monthly Notices of the Royal Astronomical Society 91̽»¨ University Press 518:4 (2022) 4909-4920

Authors:

Casey Cragg, Christopher AJ Duncan, Lance Miller, David Alonso

Abstract:

We consider the bias introduced by a spatially varying multiplicative shear bias (m-bias) on tomographic cosmic shear angular power spectra. To compute the bias in the power spectra, we estimate the mode-coupling matrix associated with an m-bias map using a computationally efficient pseudo-Cℓ method. This allows us to consider the effect of the m-bias to high ℓ. We then conduct a Fisher matrix analysis to forecast resulting biases in cosmological parameters. For a Euclid-like survey with a spatially varying m-bias, with zero mean and rms of 0.01, we find that parameter biases reach a maximum of ∼10 per cent of the expected statistical error, if multipoles up to ℓmax = 5000 are included. We conclude that the effect of the spatially varying m-bias may be a subdominant but potentially non-negligible contribution to the error budget in forthcoming weak lensing surveys. We also investigate the dependence of parameter biases on the amplitude and angular scale of spatial variations of the m-bias field, and conclude that requirements should be placed on the rms of spatial variations of the m-bias, in addition to any requirement on the mean value. We find that, for a Euclid-like survey, biases generally exceed ∼30 per cent of the statistical error for m-bias rms ∼0.02–0.03 and can exceed the statistical error for rms ∼0.04–0.05. This allows requirements to be set on the permissible amplitude of spatial variations of the m-bias that will arise due to systematics in forthcoming weak lensing measurements.

KiDS-Legacy calibration: unifying shear and redshift calibration with the SKiLLS multi-band image simulations

ArXiv 2210.07163 (2022)

Authors:

Shun-Sheng Li, Konrad Kuijken, Henk Hoekstra, Lance Miller, Catherine Heymans, Hendrik Hildebrandt, Jan Luca van den Busch, Angus H Wright, Mijin Yoon, Maciej Bilicki, Matías Bravo, Claudia del P Lagos

ShapePipe: A new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data

Astronomy & Astrophysics EDP Sciences 666 (2022) a162

Authors:

Axel Guinot, Martin Kilbinger, Samuel Farrens, Austin Peel, Arnau Pujol, Morgan Schmitz, Jean-Luc Starck, Thomas Erben, Raphael Gavazzi, Stephen Gwyn, Michael J Hudson, Hendrik Hildebrandt, Liaudat Tobias, Lance Miller, Isaac Spitzer, Ludovic Van Waerbeke, Jean-Charles Cuillandre, Sébastien Fabbro, Alan McConnachie, Yannick Mellier

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