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Reducing cosmological degeneracies by combining multiple classes of LISA gravitational-wave standard sirens

Danny Laghi, Nicola Tamanini, Alberto Sesana, Jonathan Gair, Enrico Barausse, Chiara Caprini, Walter Del Pozzo, Alberto Mangiagli, Sylvain Marsat

Abstract

We present the first joint gravitational-wave cosmological inference with LISA extreme mass-ratio inspirals at $z\lesssim1$ (galaxy redshifts) and massive black hole binaries at $z\gtrsim1$ (electromagnetic counterparts). Combining these standard sirens reduces cosmological degeneracies and yields competitive constraints on the Hubble constant $H_0$ and the dark-energy equation-of-state parameter $w_0$. This highlights LISA's potential for late-time cosmology across a broad redshift range with systematics distinct from electromagnetic distance indicators.

Reducing cosmological degeneracies by combining multiple classes of LISA gravitational-wave standard sirens

Abstract

We present the first joint gravitational-wave cosmological inference with LISA extreme mass-ratio inspirals at (galaxy redshifts) and massive black hole binaries at (electromagnetic counterparts). Combining these standard sirens reduces cosmological degeneracies and yields competitive constraints on the Hubble constant and the dark-energy equation-of-state parameter . This highlights LISA's potential for late-time cosmology across a broad redshift range with systematics distinct from electromagnetic distance indicators.
Paper Structure (13 equations, 3 figures, 1 table)

This paper contains 13 equations, 3 figures, 1 table.

Figures (3)

  • Figure 1: Reconstructed $d_L$-$z$ regression line for the representative 4-year LISA detection scenario shown in Fig. \ref{['fig:LambdaCDM_2d']} (see main text for more details): we show the median (solid black) and $68\%$ and $90\%$ credible regions in yellow and light gray, respectively. The red dashed line corresponds to the fiducial cosmology. Each data point shows the $1\sigma$ uncertainty of $d_L$ (including LISA instrumental and weak lensing uncertainties), while the redshift uncertainties correspond to the redshift shell over which each single-event likelihood is marginalized. For the MBHBs data points, larger (smaller) redshift error bars correspond to photometric (spectroscopic) follow-ups. The inset shows the most constrained redshift region, while the bottom panel shows the residuals of the inferred regression line and its credible regions.
  • Figure 2: Constraints on the two parameters $h$ and $\Omega_m$ in the $\Lambda$CDM model from EMRI dark sirens (blue), MBHB bright sirens (red), and their joint combination (black), for the representative 4-year realization shown in Fig. \ref{['fig:LambdaCDM_regression']}. The contours show the 68% and 90% confidence levels, while the dashed lines show the fiducial cosmology. The top and side panels show 1D marginalized constraints.
  • Figure 3: Constraints on the $w_0$ parameter in the DE scenario from EMRI dark sirens (blue), MBHB bright sirens (red), together with their joint combination (black), for a representative 4-year realization. The parameter $w_a$ is unconstrained and is therefore not shown.