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

arXiv:2607.25349 · astro-ph.HE, gr-qc · Submitted 2026-07-28 · Read on arXiv

Ruo-Yu Guan, Yan Wang

astro-ph.HE, gr-qc

Submitted: 2026-07-28

Comments: 16 pages, 6 figures, and 2 tables

License: http://creativecommons.org/licenses/by/4.0/

The gist: Galactic compact binaries are expected to form a dominant foreground in the millihertz band of the Laser Interferometer Space Antenna (LISA).

Terminology

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 X 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 0=10-11, marginalizing over the dimensionless residual-power factor beta increases the 0 uncertainty by 13.6% when the residual power is distributed uniformly over the Fourier frequencies in each bin. The largest Gaussian prior standard deviation on beta that limits this increase to 10% is 0.0073. 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 0 by 119.5 times the uncertainty obtained with 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.

Sources

Related papers