A neural posterior estimator trained on simulated LISA foreground spectra recovers galactic binary population parameters, including total number, with good accuracy in validation tests.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Dynamic LISA/Taiji sensitivity curves exhibit 20% low-frequency variation and 70% directional source-count variation relative to static models, with quadrant patterns at low frequencies.
citing papers explorer
-
Construction of Sensitivity Curves for Dynamic LISA and Taiji
Dynamic LISA/Taiji sensitivity curves exhibit 20% low-frequency variation and 70% directional source-count variation relative to static models, with quadrant patterns at low frequencies.