spectuner.slm_factory

class spectuner.slm_factory.SpectralLineModelFactory(config: Config, sl_db: SpectralLineDB | None = None)

Factory class to create objects related to spectral line models.

Parameters:

• config – Config instance.

• sl_db – Spectral line database. If this is provided, the code will use this database instead of the one defined in the config.

create_parameter_mgr(specie_list: list, obs_info: list)

Create a parameter manager.

This uses param_info in the config.

Parameters:

• specie_list – List of species.

• obs_info – List of information of each spectral window.

create_sl_model(obs_info: list, specie_list: list, sl_dict_list: list | None = None) → SpectralLineModel

Create a callable for computing model spectra.

This uses param_info and sl_model in the config.

Parameters:

• obs_info – List of information of each spectral window.

• specie_list – List of species.

• sl_dict_list – List of molecular transition properties. If this is provided, the code will use this list instead of querying the database.

create_peak_mgr(obs_info: list, T_base_data: list | None = None) → PeakManager

Create a peak manager.

This uses peak_manager in the config.

Parameters:

obs_info – List of information of each spectral window.

create_fitting_model(obs_info: list, specie_list: list, loss_fn: Literal['pm', 'chi2', 'chi2_ls'] = 'pm', sl_dict_list: list | None = None, T_base_data: list | None = None) → FittingModel

Create a callable for fitting.

This uses param_info, sl_model and peak_manager in the config.

Parameters:

• obs_info – List of information of each spectral window.

• specie_list – List of species.

• loss_fn –

  Loss function for fitting.

  • "pm": Peak matching.

  • "chi2": Chi-square.

  • "chi2_ls": This should be used for fitting with scipy.optimize.least_squares.

• sl_dict_list – List of molecular transition properties. If this is provided, the code will use this list instead of querying the database.