Accelerating TTL noise post-processing via combined coefficients and alternative TDI configuration
Xue Wang, Gang Wang

TL;DR
This paper introduces a method to significantly speed up TTL noise parameter estimation in space-based gravitational-wave detectors by using a transformed coefficient set and an alternative TDI configuration, improving calibration efficiency.
Contribution
It proposes a novel linear transformation of coupling coefficients and employs the PD4L TDI configuration to accelerate TTL noise parameter fitting.
Findings
Convergence speed improved by a factor of ~10 for linear models.
Convergence speed improved by a factor of ~18 for quadratic models.
Enhanced efficiency in TTL noise calibration for space-based detectors.
Abstract
Tilt-to-length (TTL) noise induced by angular jitter of spacecraft and test masses can affect the sensitivity of space-based gravitational-wave detectors such as LISA, Taiji, and TianQin. Such angular jitter can be measured using the differential wavefront sensing technique, enabling the modeling and subtraction of TTL noise from the data. However, owing to the multiple degrees of freedom of the detector constellation, a linear TTL model requires at least 24 parameters, while a higher-fidelity quadratic model involves up to 60 coefficients, rendering parameter estimation computationally expensive. To accelerate parameter determination, we propose a modified parameter set obtained via a linear transformation of the original angular coupling coefficients, which effectively reduces correlations among TTL noise components. In addition, we perform parameter fitting using an alternative…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Advanced Frequency and Time Standards · Geophysics and Gravity Measurements
