Orateur
Description
Pulsar Timing Array (PTA) data are challenging to analyze due to their uneven sampling and the presence of observational gaps. In gravitational wave (GW) searches with PTA data, the signal is expected to dominate primarily at low frequencies, motivating the question of whether the data can be efficiently downsampled without significant loss of information. We propose a method to generate downsampled and evenly sampled PTA datasets using Gaussian process regression. We demonstrate that, when the GW signal is concentrated in the low-frequency band, downsampling results in only minimal loss of sensitivity. This enables fully time-domain analyses that would otherwise be computationally prohibitive because of expensive covariance matrix inversions. Furthermore, the production of evenly sampled data could allow the application of FFT techniques and facilitate analyses directly in the frequency domain.