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Forecast for cosmological parameter estimation with gravitational-wave standard sirens from the LISA-Taiji network

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arxiv 2101.11882 v4 pith:RXY2CHYF submitted 2021-01-28 gr-qc astro-ph.COhep-ph

classification gr-qcastro-ph.COhep-ph
keywords networklisa-taijistandardcosmologicalobservationsirensirenstaiji
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

LISA and Taiji are expected to form a space-based gravitational-wave (GW) detection network in the future. In this work, we make a forecast for the cosmological parameter estimation with the standard siren observation from the LISA-Taiji network. We simulate the standard siren data based on a scenario with configuration angle of $40^{\circ}$ between LISA and Taiji. Three models for the population of massive black hole binary (MBHB), i.e., pop III, Q3d, and Q3nod, are considered to predict the events of MBHB mergers. We find that, based on the LISA-Taiji network, the number of electromagnetic (EM) counterparts detected is almost doubled compared with the case of single Taiji mission. Therefore, the LISA-Taiji network's standard siren observation could provide much tighter constraints on cosmological parameters. For example, solely using the standard sirens from the LISA-Taiji network, the constraint precision of $H_0$ could reach $1.3\%$. Moreover, combined with the CMB data, the GW-EM observation based on the LISA-Taiji network could also tightly constrain the equation of state of dark energy, e.g., the constraint precision of $w$ reaches about $4\%$, which is comparable with the result of CMB+BAO+SN. It is concluded that the GW standard sirens from the LISA-Taiji network will become a useful cosmological probe in understanding the nature of dark energy in the future.

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  1. Constraining parity and Lorentz violations in gravity with future ground- and space-based gravitational wave detectors

    gr-qc 2025-02 conditional novelty 4.0 of 10

    Future gravitational wave detectors could tighten constraints on parity- and Lorentz-violating energy scales by one to three orders of magnitude, with space-based detectors winning for certain frequency dependencies.

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