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

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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° 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 H0 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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Authors and Affiliations

  1. Department of Physics, College of Sciences, Northeastern University, Shenyang, 110819, China

    Ling-Feng Wang, Shang-Jie Jin, Jing-Fei Zhang & Xin Zhang

  2. MOE Key Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, 110819, China

    Xin Zhang

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Correspondence to Xin Zhang.

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This work was supported by the National Natural Science Foundation of China (Grant Nos. 11975072, 11835009, 11875102, and 11690021), the Liaoning Revitalization Talents Program (Grant No. XLYC1905011), the Fundamental Research Funds for the Central Universities (Grant No. N2005030), and the National Program for Support of Top-Notch Young Professionals (Grant No. W02070050). We are very grateful to Antoine Klein, Alberto Mangiagli, Alberto Sesana, and Nicola Tamanini for fruitful discussions on the identifications of EM counterparts, and also grateful to Tao Yang, Wen-Hong Ruan, and Ze-Wei Zhao for discussions on the detections of GW sources.

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Wang, LF., Jin, SJ., Zhang, JF. et al. Forecast for cosmological parameter estimation with gravitational-wave standard sirens from the LISA-Taiji network. Sci. China Phys. Mech. Astron. 65, 210411 (2022). https://doi.org/10.1007/s11433-021-1736-6

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