Orateur
Description
We investigated the impact of dispersion measure (DM) variations on the recovery of a stochastic Gravitational Wave Background (GWB) in Pulsar Timing Array (PTA) datasets, extending the chromatic noise analysis of Iraci et al. (2024). We generated multiple synthetic PTA datasets for different configurations of a 25-pulsar array, combining LOFAR-like low-frequency observations with Nançay L-band ToAs, modeling DM variations with the Discovery software suite to accelerate parameter estimation. The consistency of the recovered GWB posteriors, obtained through variational inference with normalizing flows, was evaluated using probability–probability (P–P) plots and Kolmogorov–Smirnov (KS) statistics. Several biases are identified, largely independent of the assumed DM variation level.