LDC1b Yorsh (SOBHB + EMRI + Noises)

The dataset contains TDI-2 (X, Y, Z channels) timeserie signals for instrumental, galactic confusion noise (stochastic GW foreground) noises and astrophysical sources (SOBHB and EMRI). The instrumental noise is simulated according to the sangria model. Each generated timeserie is 2 years long with 5 sec cadence. The instrumental noise was generated using LISANode (version 1.3) while noisefree TDI have been generated using pytdi (version 1.3.1). We used the arm projection implementation of the LDC (version 1.2.0). For generation of Yorsh data we have used analytic (constant arms) LISA orbits The SOBHB subdataset contains eight SOBHB signals in the form of TDI-2 X, Y, Z channels. Source parameters have been chosen so that the SNR of the signals is either close to 10 or close to 25. SOBHB signals are represented with a frequency-domain inspiral–merger–ringdown phenomenological model (IMRPhenomD) that has been transformed to time domain thanks to a stationary phase approximation. The black holes are spinning, with spin vectors parallel to the orbital angular momentum. The EMRI subdataset contains three EMRI signals in the form of TDI-2 X, Y, Z channels. The EMRI signals should be detectable and spread in the plunge time (before 6 month, before 2 year and after 2 year). We have used FEW (https://bhptoolkit.org/FastEMRIWaveforms/) model with the version tag 2.0.0 and waveforms correspond to eccentric orbits around Schwarzschild MBH. The range of eccentricity was restricted by the model [0 - 0.7]. The EMRI TDI were generated using h+, hx produced by FEW and fed into LDC tools to make projection on single links and LDC TDI generation (using interpolations). See LDC Website for more details.