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Multiparameter hierarchical sensitivity analysis of tilt-to-length coupling noise in Taiji science interferometer |
| Fei Xie(谢菲)1,2,3, Xiaodong Peng(彭晓东)1,2,4,5,†, Wenlin Tang(唐文林)2, Mengyuan Zhao(赵梦圆)6, and Xiaoshan Ma(马晓珊)7,á |
1 School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences (UCAS), Hangzhou 310024, China; 2 Key Laboratory of Electronics and Information Technology for Space System, National Space Science Center, Chinese Academy of Sciences (CAS), Beijing 100190, China; 3 University of Chinese Academy of Sciences, Beijing 100049, China; 4 Taiji Laboratory for Gravitational Wave Universe, Hangzhou 310024, China; 5 Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province, Hangzhou 310024, China; 6 School of Information, Xi'an University of Finance and Economics, Xi'an 710100, China; 7 National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract Tilt-to-length (TTL) coupling noise is a critical issue in space-based gravitational wave detection due to its complex dependence on multiple interacting factors, which complicates the identification of dominant parameters. To address this challenge, we develop a simulation model of the Taiji scientific interferometer, generating noise datasets under multi-parameter conditions. Given the uniqueness of the telescope as well as the convergence behavior of the algorithm, the analysis is structured hierarchically: (i) the telescope level and (ii) the optical bench level. A hierarchical framework combining XGBoost and SHapley Additive exPlanations (SHAP) values is employed to model the intricate relationships between parameters and TTL coupling noise, supplemented by sensitivity analysis. Our results identify pointing jitter and telescope radius as the dominant parameters at the telescope level, while the angles of the plane mirrors and beam splitters are most influential at the optical bench level. The parameter space is reduced from 86 dimensions to 14 dimensions without sacrificing model accuracy. This approach offers actionable insights for optimizing the Taiji interferometer design.
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Received: 18 March 2025
Revised: 18 June 2025
Accepted manuscript online: 17 September 2025
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PACS:
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07.60.Ly
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(Interferometers)
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04.80.Nn
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(Gravitational wave detectors and experiments)
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| Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2020YFC2200100) and the CAS’s Strategic Pioneer Program on Space Science (Grant No. XDA1502110201). |
Corresponding Authors:
Xiaodong Peng, Xiaoshan Ma
E-mail: Pxd@nssc.ac.cn;maxiaoshan@iet.cn
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Cite this article:
Fei Xie(谢菲), Xiaodong Peng(彭晓东), Wenlin Tang(唐文林), Mengyuan Zhao(赵梦圆), and Xiaoshan Ma(马晓珊) Multiparameter hierarchical sensitivity analysis of tilt-to-length coupling noise in Taiji science interferometer 2026 Chin. Phys. B 35 010701
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[1] Sigg D and the LIGO Scientific Collaboration 2008 Class. Quantum Grav. 25 114041 [2] Colpi M, Danzmann K, Hewitson M, Holley-Bockelmann K, et al. https://www.cosmos.esa.int/web/lisa/documents[2025-1-10] [3] Chen Y and Zhu Z 2024 Chin. Phys. B 33 080401 [4] Luo Z, Wang Y, Wu Y, Hu W and Jin G 2021 Prog. Theor. Exp. Phys. 2021 05 [5] Luo J, Chen L, Duan H, Gong, Hu S, Ji J, Liu Q, Mei J, Milyukov V, Sazhin M, Shao C, Toth V T, Tu H, Wang Y, Wang Y, Yeh H, Zhan M, Zhang Y, Zharov V and Zhou Z 2016 Class. Quantum Grav. 33 035010 [6] Otto M 2015 Time-delay interferometry simulations for the laser interferometer space antenna Ph.D. Dissertation (Hanover: Gottfried Wilhelm Leibniz Universität Hannover) [7] Hu W and Wu Y 2017 National Science Review 4 685 [8] Danzmann K and Team T L S 1996 Class. Quantum Grav. 13 A247 [9] Schuster S 2017 Tilt-to-length coupling and diffraction aspects in satellite interferometry Ph.D. Dissertation (Hanover: Gottfried Wilhelm Leibniz Universität Hannover) [10] Zhao Y 2021 Ph.D. Dissertation (Beijing: University of Chinese Academy of Sciences) (in Chinese) [11] Danzmann K, Prince T A, Binetruy P, Bender P, et al. https://sci.esa.int/web/lisa/-/48364-lisa-assessment-study-reportyellow- book[2025-1-10] [12] Wang Z, Yu T, Zhao Y, Luo Z, Sha W, Fang C, Wang Y, Wang S, Qi K, Wang Y and Xu X 2020 Photonic Sens. 10 265 [13] Wegener H, Müller V, Heinzel G and Misfeldt M 2020 Journal of Spacecraft and Rockets 57 1362 [14] Sasso C P, Mana G and Mottini S 2018 Class. Quantum Grav. 35 185013 [15] Sasso C P, Mana G and Mottini S 2018 Class. Quantum Grav. 35 245002 [16] Sasso C P, Mana G and Mottini S 2019 Opt. Express 27 16855 [17] Cui X, Fang C and Wang Z 2023 Acta Optica Sinica 43 1 [18] Tao Y Z, Jin H B and Wu Y L 2023 Chin. Phys. B 32 024212 [19] Wang Z, Yang S, Jia F, Wu K, Liao F, Duan H and Yeh H 2024 Remote Sensing 16 862 [20] Li J, Lin H, Huang Y, Yu M, Luo J, Xiao Z, Wang Z and Wu Y 2023 Meas. Sci. Technol. 34 055409 [21] Mahrdt C 2014 Laser link acquisition for the GRACE follow-on laser ranging interferometer Ph.D. Dissertation (Hanover: Gottfried Wilhelm Leibniz Universität Hannover) [22] Genberg V L, Michels G J and Doyle K B 2002 Optomechanical Design and Engineering, September 9, 2002, Seattle, USA, p. 276 [23] Zhao M, Tao Y, Weber K, Kaune T, Schuster S, Hao Z and Wanner G 2023 Sensors 23 9024 [24] Hartig M S, Schuster S, Heinzel G and Wanner G 2023 J. Opt. 25 055601 [25] Hartig M S, Schuster S and Wanner G 2022 J. Opt. 24 065601 [26] Luo Z, Guo Z, Jin G, Wu Y and Hu W 2020 Results in Physics 16 102918 [27] Chen T and Guestrin C 2016 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD’16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 13, 2016, San Francisco California, USA, p. 785 [28] Lundberg S M, Erion G G and Lee S I 2019 arXiv:1802.03888[cs.LG] [29] Borgonovo E, Plischke E and Rabitti G 2024 European Journal of Operational Research 318 911 [30] Zhao M, Peng X, Yang Z, Meng X, Ma X and Zhang J 2022 J. Astron. Telesc. Instrum. Syst. 8 038002 [31] Tao W, Deng X, Diao Y, Gao R, Qi K, Wang S, Luo Z, Sha W and Liu H 2023 Sensors 23 9141 [32] Bender P L 2005 Class. Quantum Grav. 22 S339 |
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