SBART.Quality_Control.outlier_detection

SBART.Quality_Control.outlier_detection#

Functions

compute_outliers(obs_rv, ...[, epoch])

Find outliers for the spectra of one order of one observation!
compute_outliers(obs_rv, spectra_wavelengths, spectra, spectra_mask, template_wavelengths, StellarTemplate, template_mask, worker_configs, spec_uncert, order, epoch=None)#

Find outliers for the spectra of one order of one observation!

Parameters:

  • obs_rv (float) – RV of the given observation

  • spectra_wavelengths –

  • spectra –

  • spectra_mask – mask with ones in places where the data is valid

  • template_wavelengths –

  • template –

  • template_mask – mask with ones in places where the data is valid

  • tell_tolerance (float) – To be multiplied by the median difference to use as a threshold. If equal to or below zero, nothing is done

Returns:

  • new_mask (np.ndarray) – Points to be considered, i.e. mask with 1 in places to keep. It is an extension of the spectra_mask input array!

  • found (bool) – Convergence achieved

  • iterations (int) – Number of iterations needed for convergence