Pipeline Modules

BESTA performs the inference of physical parameters from observables by means of pipeline modules. This serve as recipes where the input observable is already predefined and target a particular task (e.g. the inference of stellar kinematics from spectroscopic data).

Technically, each pipeline module of besta consists of a Module class with are based on the cosmosis.ClassModule class (see the BaseModule API documentation for details). In essence, any pipeline module includes:

• A set of instructions in the constructor to set up the required data and models used during the fit.

• A method make_observable that takes as arguments a DataBlock with the parameters used in the model and returns the model observable.

• An execute method used by CosmoSIS during runtime.

Available modules

full_spectral_fit

Kinematics and CEM model properties using spectroscopic data.

spectra_redshift_fit

Measure spectroscopic redshifts.

galaxy_spectra

Spectroscopic fitting with a galaxy (multi-component) emission model.

galaxy_photometry

Photometric fitting with a galaxy (multi-component) emission model.

sfh_photometry_grid

SFH parameter inference from photometry using direct grid interpolation.