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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

Euclid: Improving the efficiency of weak lensing shear bias calibration

Astronomy & Astrophysics EDP Sciences 683 (2024) a240

Authors:

H Jansen, M Tewes, T Schrabback, N Aghanim, A Amara, S Andreon, N Auricchio, M Baldi, E Branchini, M Brescia, J Brinchmann, S Camera, V Capobianco, C Carbone, VF Cardone, J Carretero, S Casas, M Castellano, S Cavuoti, A Cimatti, G Congedo, L Conversi, Y Copin, L Corcione, F Courbin, HM Courtois, A Da Silva, H Degaudenzi, J Dinis, F Dubath, X Dupac, M Farina, S Farrens, S Ferriol, M Frailis, E Franceschi, M Fumana, S Galeotta, B Gillis, C Giocoli, A Grazian, F Grupp, SVH Haugan, H Hoekstra, W Holmes, F Hormuth, A Hornstrup, P Hudelot, K Jahnke, B Joachimi, S Kermiche, A Kiessling, M Kilbinger, T Kitching, B Kubik, H Kurki-Suonio, S Ligori, PB Lilje, V Lindholm, I Lloro, E Maiorano, O Mansutti, O Marggraf, K Markovic, N Martinet, F Marulli, R Massey, E Medinaceli, S Mei, M Melchior, Y Mellier, M Meneghetti, E Merlin, G Meylan, L Miller, M Moresco, L Moscardini, E Munari, R Nakajima, S-M Niemi, C Padilla, S Paltani, F Pasian, K Pedersen, V Pettorino, S Pires, G Polenta, M Poncet, F Raison, A Renzi, J Rhodes, G Riccio, E Romelli, M Roncarelli, E Rossetti, R Saglia, D Sapone, B Sartoris, P Schneider, A Secroun, G Seidel, S Serrano, C Sirignano, G Sirri, J Skottfelt, L Stanco, P Tallada-Crespí, I Tereno, R Toledo-Moreo, F Torradeflot, I Tutusaus, EA Valentijn, L Valenziano, T Vassallo, A Veropalumbo, Y Wang, J Weller, G Zamorani, J Zoubian, C Colodro-Conde, V Scottez
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KiDS-1000: Cosmology with improved cosmic shear measurements

Astronomy & Astrophysics EDP Sciences 679 (2023) a133

Authors:

Shun-Sheng Li, Henk Hoekstra, Konrad Kuijken, Marika Asgari, Maciej Bilicki, Benjamin Giblin, Catherine Heymans, Hendrik Hildebrandt, Benjamin Joachimi, Lance Miller, Jan Luca van den Busch, Angus H Wright, Arun Kannawadi, Robert Reischke, HuanYuan Shan
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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 Oxford 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
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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
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Propagating spatially varying multiplicative shear bias to cosmological parameter estimation for stage-IV weak-lensing surveys

Monthly Notices of the Royal Astronomical Society Oxford 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.
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