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Residual Galactic binary foreground in LISA stochastic gravitational-wave background inference: source power concentration and spectral degeneracy

High Energy Astrophysical Phenomena 2026-07-28 v1

Abstract

Galactic compact binaries are expected to form a dominant foreground in the millihertz band of the Laser Interferometer Space Antenna (LISA). Residual power from injected sources that do not meet the adopted recovery criteria can bias stochastic gravitational-wave background (SGWB) inference or increase its uncertainty. We use LISA Data Challenge 2A Sangria injections and the Erebor comparison table to construct a catalog residual spectrum between 0.4 and 6.0 mHz with orbit-averaged long-wavelength Michelson XX source powers. The source power concentration in each frequency bin determines the excess kurtosis of a random-phase source sum; instrumental noise and fiducial SGWB power strongly reduce the resulting excess kurtosis in most bins. The residual spectrum also overlaps an isotropic power-law SGWB in the mean binned power. We use a fixed covariance obtained by summing independent Fourier-mode power variances. For a frequency-independent SGWB with fiducial amplitude Ω0=1011\Omega_0=10^{-11}, marginalizing over the dimensionless residual-power factor β\beta increases the Ω0\Omega_0 uncertainty by 13.6%13.6\% when the residual power is distributed uniformly over the Fourier frequencies in each bin. The largest Gaussian prior standard deviation on β\beta that limits this increase to 10%10\% is 0.00730.0073. More concentrated distributions of the residual power among Fourier frequencies reduce the increase, reflecting unresolved frequency structure. Omitting the fiducial residual with the covariance held fixed shifts the best-fitting Ω0\Omega_0 by 119.5119.5 times the uncertainty obtained with β\beta fixed. This projection of the residual spectrum onto the SGWB spectrum is not a posterior detection significance. The numerical values are conditional on the catalog-level scalar power model, fixed instrumental noise, and independent mode-power covariance.

Keywords

Cite

@article{arxiv.2607.25349,
  title  = {Residual Galactic binary foreground in LISA stochastic gravitational-wave background inference: source power concentration and spectral degeneracy},
  author = {Ruo-Yu Guan and Yan Wang},
  journal= {arXiv preprint arXiv:2607.25349},
  year   = {2026}
}

Comments

16 pages, 6 figures, and 2 tables