Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel
Tilt-to-length (TTL) coupling is expected to be one of the major noise sources in the interferometric phase readouts in TianQin mission. Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after sup...
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description | Tilt-to-length (TTL) coupling is expected to be one of the major noise sources in the interferometric phase readouts in TianQin mission. Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after suppressing the laser phase noise with time-delay interferometry (TDI) technique. In this article, we show that we can estimate the TTL coupling coefficients using the null TDI channel {\zeta} and remove the TTL noise in the commonly used Michelson variables with the estimated coefficients. We introduce the theoretical model of TTL noise in TDI and consider linear drifts in the linear TTL coefficients for noise estimation and subtraction. The TTL coefficients with drifts are estimated successfully with an accuracy of 10 {\mu}m/rad in our numerical simulation. We discuss the impact of point-ahead angle compensation error and wavefront error, and find it necessary to estimate linear drift coefficients and quadratic TTL coefficients to keep TTL noise residuals below the 0.3 pm noise reference curve. However, the estimation accuracy suffers greatly from the correlation between yaw jitter measurements that contain the same SC jitter. Assuming all angular jitters induced by MOSAs are independent, choosing a frequency range with relatively higher MOSA yaw jitter noise levels is beneficial to the TTL coefficient estimation. |
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Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after suppressing the laser phase noise with time-delay interferometry (TDI) technique. In this article, we show that we can estimate the TTL coupling coefficients using the null TDI channel {\zeta} and remove the TTL noise in the commonly used Michelson variables with the estimated coefficients. We introduce the theoretical model of TTL noise in TDI and consider linear drifts in the linear TTL coefficients for noise estimation and subtraction. The TTL coefficients with drifts are estimated successfully with an accuracy of 10 {\mu}m/rad in our numerical simulation. We discuss the impact of point-ahead angle compensation error and wavefront error, and find it necessary to estimate linear drift coefficients and quadratic TTL coefficients to keep TTL noise residuals below the 0.3 pm noise reference curve. However, the estimation accuracy suffers greatly from the correlation between yaw jitter measurements that contain the same SC jitter. Assuming all angular jitters induced by MOSAs are independent, choosing a frequency range with relatively higher MOSA yaw jitter noise levels is beneficial to the TTL coefficient estimation.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Accuracy ; Angular velocity ; Attitude (inclination) ; Coupling coefficients ; Drift estimation ; Error analysis ; Frequency ranges ; Interferometry ; Noise levels ; Phase noise ; Subtraction ; Vibration ; Wave fronts ; Yaw</subject><ispartof>arXiv.org, 2024-10</ispartof><rights>2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). 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Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after suppressing the laser phase noise with time-delay interferometry (TDI) technique. In this article, we show that we can estimate the TTL coupling coefficients using the null TDI channel {\zeta} and remove the TTL noise in the commonly used Michelson variables with the estimated coefficients. We introduce the theoretical model of TTL noise in TDI and consider linear drifts in the linear TTL coefficients for noise estimation and subtraction. The TTL coefficients with drifts are estimated successfully with an accuracy of 10 {\mu}m/rad in our numerical simulation. We discuss the impact of point-ahead angle compensation error and wavefront error, and find it necessary to estimate linear drift coefficients and quadratic TTL coefficients to keep TTL noise residuals below the 0.3 pm noise reference curve. However, the estimation accuracy suffers greatly from the correlation between yaw jitter measurements that contain the same SC jitter. Assuming all angular jitters induced by MOSAs are independent, choosing a frequency range with relatively higher MOSA yaw jitter noise levels is beneficial to the TTL coefficient estimation.</description><subject>Accuracy</subject><subject>Angular velocity</subject><subject>Attitude (inclination)</subject><subject>Coupling coefficients</subject><subject>Drift estimation</subject><subject>Error analysis</subject><subject>Frequency ranges</subject><subject>Interferometry</subject><subject>Noise levels</subject><subject>Phase noise</subject><subject>Subtraction</subject><subject>Vibration</subject><subject>Wave fronts</subject><subject>Yaw</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNjs2KAjEQhIMgrKy-Q4PnwEyy_p3FZY8K3iWMHW2JHU334Pr2G8QH2FMV1MdHDczIed_a5ZdzH2Yicmmaxs0XbjbzI_O7zaK3kjsUIT5BjqCU1Gq2CfmkZ-BMgvCgWruMMVJHyArHQlEFiGFPgXc1-5cgAPcpVckV7RFTeFZEsUQs-YpantCdAzOmsRnGkAQn7_w00-_Nfv1j65l7j6KHS-4L1-ngW9cuVks3b_3_qD8EwE62</recordid><startdate>20241026</startdate><enddate>20241026</enddate><creator>Wang, Zhizhao</creator><creator>Yang, Shuju</creator><creator>Wu, Kaihang</creator><creator>Wang, Xiaojie</creator><creator>Duan, Huizong</creator><creator>Liang, Yurong</creator><creator>Zhang, Xuefeng</creator><creator>Hsien-Chi Yeh</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20241026</creationdate><title>Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel</title><author>Wang, Zhizhao ; Yang, Shuju ; Wu, Kaihang ; Wang, Xiaojie ; Duan, Huizong ; Liang, Yurong ; Zhang, Xuefeng ; Hsien-Chi Yeh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_31217982613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Angular velocity</topic><topic>Attitude (inclination)</topic><topic>Coupling coefficients</topic><topic>Drift estimation</topic><topic>Error analysis</topic><topic>Frequency ranges</topic><topic>Interferometry</topic><topic>Noise levels</topic><topic>Phase noise</topic><topic>Subtraction</topic><topic>Vibration</topic><topic>Wave fronts</topic><topic>Yaw</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Zhizhao</creatorcontrib><creatorcontrib>Yang, Shuju</creatorcontrib><creatorcontrib>Wu, Kaihang</creatorcontrib><creatorcontrib>Wang, Xiaojie</creatorcontrib><creatorcontrib>Duan, Huizong</creatorcontrib><creatorcontrib>Liang, Yurong</creatorcontrib><creatorcontrib>Zhang, Xuefeng</creatorcontrib><creatorcontrib>Hsien-Chi Yeh</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Zhizhao</au><au>Yang, Shuju</au><au>Wu, Kaihang</au><au>Wang, Xiaojie</au><au>Duan, Huizong</au><au>Liang, Yurong</au><au>Zhang, Xuefeng</au><au>Hsien-Chi Yeh</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel</atitle><jtitle>arXiv.org</jtitle><date>2024-10-26</date><risdate>2024</risdate><eissn>2331-8422</eissn><abstract>Tilt-to-length (TTL) coupling is expected to be one of the major noise sources in the interferometric phase readouts in TianQin mission. Arising from the angular motion of spacecraft (SC) and the onboard movable optical subassemblies (MOSAs), TTL noise needs to be removed in postprocessing after suppressing the laser phase noise with time-delay interferometry (TDI) technique. In this article, we show that we can estimate the TTL coupling coefficients using the null TDI channel {\zeta} and remove the TTL noise in the commonly used Michelson variables with the estimated coefficients. We introduce the theoretical model of TTL noise in TDI and consider linear drifts in the linear TTL coefficients for noise estimation and subtraction. The TTL coefficients with drifts are estimated successfully with an accuracy of 10 {\mu}m/rad in our numerical simulation. We discuss the impact of point-ahead angle compensation error and wavefront error, and find it necessary to estimate linear drift coefficients and quadratic TTL coefficients to keep TTL noise residuals below the 0.3 pm noise reference curve. However, the estimation accuracy suffers greatly from the correlation between yaw jitter measurements that contain the same SC jitter. Assuming all angular jitters induced by MOSAs are independent, choosing a frequency range with relatively higher MOSA yaw jitter noise levels is beneficial to the TTL coefficient estimation.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Angular velocity Attitude (inclination) Coupling coefficients Drift estimation Error analysis Frequency ranges Interferometry Noise levels Phase noise Subtraction Vibration Wave fronts Yaw |
title | Postprocessing of tilt-to-length noise with coefficient drifts in TianQin using a null time-delay interferometry channel |
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