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Suppressing data anomalies of gravitational reference sensors with time delay interferometry combinations

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arxiv 2206.10664 v2 pith:7726UM6W submitted 2022-06-21 gr-qc astro-ph.IMphysics.data-anphysics.ins-det

classification gr-qcastro-ph.IMphysics.data-anphysics.ins-det
keywords anomaliesdatachannelsdelaygravitationalinterferometrytimelisa
verification ladder T0 review T1 audit T2 compute T3 formal
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For the LISA and Taiji missions, both transient and continuous data anomalies would pose significant challenges to the detection, estimation, and subsequent scientific interpretation of gravitational wave signals. As is indicated by the experiences of LISA PathFinder and Taiji-1, these anomalies may originate from the disturbances of the gravitational reference sensors due to routine maintenances and unexpected environmental or instrumental issues. To effectively mitigate such anomalies and thereby enhance the robustness and reliability of the scientific outputs, we suggest to employ the ``position noise suppressing'' time delay interferometry channels. Through analytical derivations and numerical simulations, we demonstrate that these time delay interferometry channels can suppress data anomalies by more than 2 orders of magnitude within the sensitive band of 0.1 mHz - 0.05 Hz, while still remaining sensitive to most of the target signals. Compared with existing researches that focus on reconstructing and subtracting data anomalies, our method does not rely on the prior knowledge about the models of anomalies. Furthermore, the potential application scenarios of these channels have also been explored.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Enhancing Taiji's Parameter Estimation under Non-Stationarity: a Time-Frequency Domain Framework for Galactic Binaries and Instrumental Noises

    gr-qc 2025-06 conditional novelty 7.0 of 10

    A time-frequency (STFT) Bayesian framework improves Taiji Galactic binary and noise parameter estimation under non-stationary noise compared with frequency-domain analysis.

  2. Correlation and Data-Analysis Distinctiveness of Time-Delay Interferometry Configurations

    gr-qc 2025-07 conditional novelty 5.0 of 10

    Short-span TDI configurations with minimal null frequencies, especially PD4L, improve frequency-domain gravitational-wave parameter estimation at high frequencies, while time-domain analysis makes all configurations e...

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