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SAQQARA analyzes stochastic gravitational wave background signals. This Simulation-based Inference (SBI) library is built on top of the swyft code (ascl:2302.016), which implements neural ratio estimation to efficiently access marginal posteriors for all parameters of interest. Simulation-based inference combined with implicit marginalization (over nuisance parameters) has been shown to be well suited for SGWB data analysis.
fastPTA forecasts the sensitivity of future Pulsar Timing Array (PTA) configurations and assesses constraints on Stochastic Gravitational Wave Background (SGWB) parameters. The code can generate mock PTA catalogs with noise levels compatible with current and future PTA experiments. These catalogs can then be used to perform Fisher forecasts of MCMC simulations.
The SIGWAY data analysis pipeline computes second-order, scalar induced gravitational wave signals emitted by curvature perturbations in the early universe. The package solves the Mukhanov-Sasaki equation for single field ultra-slow roll inflationary models and computes the primordial scalar power spectrum Pζ. SIGWAY also computes the second order gravitational wave power spectrum ΩGW from P ζ for reentry during radiation domination or a phase of early matter domination.