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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2 Pith papers cite this work. Polarity classification is still indexing.
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Multi-detector networks of LISA-TAIJI-TianQin reduce EMRI sky localization uncertainty by up to 100x and achieve comparable parameter constraints to longer single-mission observations via Fisher analysis.
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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Detectability to extreme mass ratio inspirals with alternative space-based detector networks
Multi-detector networks of LISA-TAIJI-TianQin reduce EMRI sky localization uncertainty by up to 100x and achieve comparable parameter constraints to longer single-mission observations via Fisher analysis.