Matrix Representation of Time-Delay Interferometry
Massimo Tinto, Sanjeev Dhurandhar, Prasanna Joshi

TL;DR
This paper introduces a matrix-based representation of Time-Delay Interferometry (TDI), enabling efficient cancellation of laser noise in gravitational wave data analysis through linear combinations of sampled measurements.
Contribution
It demonstrates that delay operators in TDI can be represented as matrices, providing a group theoretic framework that generalizes previous approaches.
Findings
Matrix formulation effectively cancels laser noise at any time t.
The approach generalizes to all relevant TDI scenarios.
Careful accounting of light travel times is essential for accurate data analysis.
Abstract
Time-Delay Interferometry (TDI) is the data processing technique that cancels the large laser phase fluctuations affecting the one-way Doppler measurements made by unequal-arm space-based gravitational wave interferometers. By taking finite linear combinations of properly time-shifted Doppler measurements, laser phase fluctuations are removed at any time and gravitational wave signals can be studied at a requisite level of precision. In this article we show the delay operators used in TDI can be represented as matrices acting on arrays associated with the laser noises and Doppler measurements. The matrix formulation is nothing but the group theoretic representation (ring homomorphism) of the earlier approach involving time-delay operators and so in principle is the same. It is shown that the homomorphism is valid generally and we cover all situations of interest. To understand the…
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