Mind the second gap: The impact of gaps on noise and signal parameter inference
Gravitational-wave data is never analysed without some conditioning: filtering and tapering act multiplicatively on the noise, destroying the stationarity on which the Whittle likelihood --- the backbone of nearly all gravitational-wave inference --- rests. The problem is particularly evident for LISA, where gaps are e...