English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Time delay interferometry (TDI) is a post-processing technique used in theLaser Interferometer Space Antenna (LISA) to reduce laser frequency noise bybuilding an equal-arm interferometer via combining time-shifted raw phasemeasurements. The set of so-called 2nd generation TDI variables whichsufficiently suppress laser frequency noise considering realistic LISA orbitaldynamics has recently been expanded by a large number of additional solutions.In this paper, we characterize these new TDI channels by relating them to thewell-known 1st generation variables $\alpha$, $\beta$, $\gamma$, and $\zeta$.We compute explicitly how each 2nd generation variable can be approximated as alinear combination of these four 1st generation variables, and show numericallythat these approximations are accurate enough to model the noises notsuppressed by TDI. We use these results to discuss how the newly found channelsmight be advantageous to use for the LISA data analysis. In addition, wedemonstrate that newly found variants of the variable $\zeta$ significantlyout-perform the ones previously known from the literature.

Characterization of Time Delay Interferometry combinations for the LISA instrument noise