Tilt-to-length noise subtraction with pointing jitters from closed-loop dynamics for TianQin

TL;DR

This paper investigates advanced techniques for subtracting tilt-to-length noise caused by pointing jitters in the TianQin gravitational wave observatory, using realistic closed-loop simulations to improve calibration accuracy.

Contribution

It introduces new methods for TTL noise calibration, including optimized MOSA rotation strategies and alternative null channel combinations, to meet stringent noise reduction requirements.

Findings

Rotating only one MOSA improves TTL coefficient estimation.

Using alternative null channels like $C_3^{14}$ enhances estimation accuracy.

Artificial sinusoidal maneuvers further improve calibration precision.

Abstract

TianQin is a proposed space-based mission for gravitational wave detection, employing a constellation of three drag-free satellites in high Earth orbits to form a laser interferometric observatory. A critical technical challenge is mitigating tilt-to-length (TTL) coupling noise, which is expected to be the third dominant noise source after laser frequency and clock noises. This noise is unavoidable in the presence of the residual angular movement of satellites, movable optical subassemblies (MOSAs), and test masses (TMs), and needs to be subtracted after reducing the first two types of noises using time-delay interferometry (TDI). Previous works have shown that TTL coupling coefficients can be estimated from the null TDI channel $\zeta$ and used for noise subtraction in other combinations. However, it was found that correlated MOSA yaw jitters have a negative impact on the TTL calibration, and the effects of realistic residual angular jitters from drag-free and pointing control (DFPC) are yet to be investigated. In this paper, we use closed-loop DFPC simulations to generate more realistic jitters in the science mode and test TTL calibration capability. Our simulations reveal that rotating only one MOSA is more favorable, compared to symmetrically rotating two MOSAs, for enhancing the accuracy of TTL coefficient estimation, while employing only high-frequency data (0.1 - 1 Hz). Moreover, we propose two other methods to further improve estimation accuracy. Firstly, using different null channel combinations, such as $C_3^{14}$, enhances the least squares estimation accuracy even in the case of high correlations in MOSAs' yaw jitters. Secondly, injecting different sinusoidal artificial maneuvers to the six MOSAs also shows improvements. These methods can help TianQin to meet the 0.3 pm/Hz$^{1/2}$ requirement after the TTL noise subtraction.