Groundwork for Estimating TDI Armlength Variables During Science Analysis @LISAcommunity
Groundwork for Estimating TDI Armlength Variables During Science Analysis  @LISAcommunity
Uploaded August 2020 | Updated September 2026, 3 minutes ago
Groundwork for Estimating TDI Armlength Variables During Science Analysis
Jessica Page ,Tyson Littenberg

The light travel time between the LISA spacecraft (S/C) is typically considered as input for Time Delay Interferometry (TDI) processing. Alternatively, including TDI parameters in the LISA data model -- suggested in Tinto et al (2004) -- as part of a global fit analysis pipeline produces gravitational wave inferences that are marginalized over uncertainty in the spacecraft separations and provides an independent measure of the spacecraft orbits. As an initial step toward these goals, inferences on the LISA armlengths found by minimizing the laser frequency noise in the Michaelson XYZ TDI channels for a rigidly rotating S/C configuration (TDI 1.5) are demonstrated using a Markov Chain Monte Carlo algorithm. The likelihood function includes correlations between the XYZ channels via a parameterized noise covariance matrix for the general case of unequal LISA arms. Simulated laser frequency noise is analyzed and posteriors using the orthogonal TDI channels (AET) and both the equal and unequal-arm Michaelson channels are compared.
Groundwork for Estimating TDI Armlength Variables During Science AnalysisMulti-messenger astronomy training the future generation of astrophysicistsDetecting the galactic gravito-magnetism by means of space-based interferometers.The use of high order spatial modes in laser stabilisation techniquesLISA Symposium XIV Plenary Day 3LISA Symposium 2026 - Parallel 2-AStochastic background of gravitational waves from turns in the landscapeProbing cosmic structures with gravitational wave lensingLISA Symposium XIV Parallel C LISA Data Analysis 1 part 1Status of pseudo-random noise ranging performance and optical data communicationLISA Symposium 2026 -  Plenary 1GRMHD simulations of accretion flows onto spinning black hole binary mergers
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Groundwork for Estimating TDI Armlength Variables During Science Analysis

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