This modular Python-based pipeline provides tools for computing background cosmological quantities and Fourier-space power spectra for multiple tracers of large-scale structure, such as galaxies and 21cm intensity maps. It is designed for multitracer Fisher forecasting in both the linear regime and nonlinear scales using HALOFIT. The pipeline enables forecasts of cosmological parameters such as f_NL, fσ8, and tracer bias parameters. Its flexible architecture includes independently callable modules for the Hubble parameter, comoving distance, growth functions, matter power spectrum, transfer functions, and cross-power spectrum combinations. The code supports both theoretical survey design and nonlinear parameter estimation, making it suitable for a wide range of cosmological analyses.
@software{dlamini2025fourier, author = {Simthembile Dlamini}, title = {Fourier Power Spectrum Pipeline for Multitracer Fisher Forecasting}, year = {2025}, publisher = {Zenodo}, version = {v1.0.0}, doi = {1