LISA forecasts for quadratically coupled ultralight dark matter show competitive or superior sensitivity to terrestrial and astrophysical probes in selected mass windows, free of screening.
Stochastic gravitational wave background reconstruction for a non-equilateral and unequal-noise LISA constellation
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
abstract
We explore the impact of choosing different sets of Time-Delay Interferometry (TDI) variables for detecting and reconstructing Stochastic Gravitational Wave Background (SGWB) signals and estimating the instrumental noise in LISA. Most works in the literature build their data analysis pipelines relying on a particular set of TDI channels, the so-called AET variables, which are orthogonal under idealized conditions. By relaxing the assumption of a perfectly equilateral LISA configuration, we investigate to which degree these channels remain orthogonal and compare them to other TDI channels. We show that different sets of TDI variables are more robust under perturbations of the perfect equilateral configuration, better preserving their orthogonality and, thus, leading to a more accurate estimate of the instrumental noise. Moreover, we investigate the impact of considering the noise levels associated with each instrumental noise source to be independent of one another, generalizing the analysis from two to twelve noise parameters. We find that, in this scenario, the assumption of orthogonality is broken for all the TDI variables, leading to a misestimation of measurement error for some of the noise parameters. Remarkably, we find that for a flat power-law signal, the reconstruction of the signal parameters is nearly unaffected in these various configurations.
years
2026 4representative citing papers
Conditional normalizing flows perform likelihood-free parameter estimation for single and overlapping LISA galactic binaries, generating thousands of posterior samples per second after training on simulations.
A neural posterior estimator trained on simulated LISA foreground spectra recovers galactic binary population parameters, including total number, with good accuracy in validation tests.
A trans-dimensional MCMC pipeline recovers parameters of injected SGWB signals in Taiji simulations and reconstructs backgrounds with unknown spectral shapes.
citing papers explorer
-
Probing Quadratically Coupled Ultralight Dark Matter with the Laser Interferometer Space Antenna
LISA forecasts for quadratically coupled ultralight dark matter show competitive or superior sensitivity to terrestrial and astrophysical probes in selected mass windows, free of screening.
-
Neural posterior estimation of Galactic Binary signals for the LISA mission
Conditional normalizing flows perform likelihood-free parameter estimation for single and overlapping LISA galactic binaries, generating thousands of posterior samples per second after training on simulations.
-
Inferring the population properties of galactic binaries from LISA's stochastic foreground
A neural posterior estimator trained on simulated LISA foreground spectra recovers galactic binary population parameters, including total number, with good accuracy in validation tests.
-
Isotropic stochastic gravitational wave background reconstruction for Taiji constellation
A trans-dimensional MCMC pipeline recovers parameters of injected SGWB signals in Taiji simulations and reconstructs backgrounds with unknown spectral shapes.