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 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.










