4–5 Jun 2026
University of Geneva
Europe/Zurich timezone

Kinematic cosmic dipole from a large sample of strong lenses

4 Jun 2026, 15:00
15m
Sciences II Auditorium A100 (University of Geneva)

Sciences II Auditorium A100

University of Geneva

Quai Ernest-Ansermet 30

Speaker

Martin Millon (University of Geneva)

Description

Measurements of the kinematic cosmic dipole continue to show an intriguing tension between the value inferred from the CMB and that obtained from high-redshift source number counts. While the measured dipole direction appears consistent, the amplitude, set by the observer’s peculiar velocity v_o, remains in significant disagreement. Here, we propose using strong gravitational lenses with well-measured Einstein radii to estimate the kinematic cosmic dipole, through the relativistic aberration of the Einstein angle induced by the observer’s motion. We show that this effect could be detected solely from measurements of the Einstein radius in wide, high-resolution imaging surveys such as Euclid. However, the precision achievable using Einstein-radius measurements alone, without redshift or lens-galaxy mass information, appears insufficient to discriminate between the CMB value of v_o and that derived from source number counts at high statistical significance. Nevertheless, we demonstrate that including a large sample of lenses with available kinematic information, either via the Fundamental Plane relation or, ideally, through spectroscopic velocity-dispersion measurements, drastically reduces the noise and substantially improves the constraining power of this method. We show that, for a realistic sample of strong lenses detected by Euclid and complemented with spectroscopic velocity dispersion measurements from 4MOST or DESI, it is possible to discriminate between the CMB- and source-number-counts-inferred values at the ∼ 5σ level using a new, fully independent method. We further demonstrate that this technique is only weakly sensitive to strong-lensing selection effects, with selection biases and threshold effects estimated to be well below the 1% level.

Author

Martin Millon (University of Geneva)

Co-authors

Camille Bonvin (University of Geneva) Charles Dalang (ENS) Thomas Collett (University of Portsmouth)

Presentation materials