Moderately mitigated glitch streams induce negligible to minor biases (0.04–0.6σ) in EMRI parameters while weakly mitigated streams with higher-SNR events can reach ~1σ biases, making EMRI inference more robust than for MBHBs.
Baghiet al.(LDC Working Group), The LISA Data Challenges, (2022), arXiv:2204.12142 [gr-qc]
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Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.
Numerical ringdown waveforms for black holes in Dehnen dark matter profiles are generated and analyzed for detectability and parameter inference using second-generation TDI in space-based detectors such as LISA, Taiji, and TianQin.
Adding a prior linking GW frequency f to its derivative ḏ from detached white dwarf mass limits to the GBSIEVER iterative pipeline raises resolved DWD sources by ~7.3% for LISA and ~14.6% for the LISA-Taiji network on simulated data.
citing papers explorer
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First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals
Moderately mitigated glitch streams induce negligible to minor biases (0.04–0.6σ) in EMRI parameters while weakly mitigated streams with higher-SNR events can reach ~1σ biases, making EMRI inference more robust than for MBHBs.
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Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets
Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.
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Ringdown Signatures of Dehnen Dark Matter Halos: Fluid Modes and Detectability with Space-Based Detectors
Numerical ringdown waveforms for black holes in Dehnen dark matter profiles are generated and analyzed for detectability and parameter inference using second-generation TDI in space-based detectors such as LISA, Taiji, and TianQin.
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Improving the resolution of double white dwarf systems with spaceborne gravitational wave observatories using a robust astrophysical prior
Adding a prior linking GW frequency f to its derivative ḏ from detached white dwarf mass limits to the GBSIEVER iterative pipeline raises resolved DWD sources by ~7.3% for LISA and ~14.6% for the LISA-Taiji network on simulated data.