frostie.utils

Functions

load_water_op_cons([wav_low, wav_high])

Load water ice optical constants included in FROSTIE.

load_co2_op_cons([wav_low, wav_high])

Load carbon dioxide ice optical constants included in FROSTIE.

spectra_list_match(data_list, wav_list)

Resample all input spectra to a common wavelength axis.

wav_bins(wav)

Compute the wavelength bin edges for a given wavelength array.

find_nearest(array, value)

Find the index of the array element closest to the supplied value.

Z_to_sigma(ln_Z1, ln_Z2)

Convert log-evidences of two models to a sigma confidence level.

Module Contents

frostie.utils.load_water_op_cons(wav_low=None, wav_high=None)

Load water ice optical constants included in FROSTIE.

Returns:

  • wav (ndarray) – Wavelength array in microns.

  • n (ndarray) – Real part of the refractive index.

  • k (ndarray) – Imaginary part of the refractive index.

frostie.utils.load_co2_op_cons(wav_low=None, wav_high=None)

Load carbon dioxide ice optical constants included in FROSTIE.

Returns:

  • wav (ndarray) – Wavelength array in microns.

  • n (ndarray) – Real part of the refractive index.

  • k (ndarray) – Imaginary part of the refractive index.

frostie.utils.spectra_list_match(data_list, wav_list)

Resample all input spectra to a common wavelength axis.

The common axis is chosen as the lowest-resolution wavelength array in the list.

Parameters:

  • data_list (list of ndarray) – List of 1D arrays representing spectral data to be resampled.

  • wav_list (list of ndarray) – Corresponding list of 1D wavelength arrays.

Returns:

  • data_matched_list (list of ndarray) – Spectra resampled to the common wavelength grid.

  • wav_common (ndarray) – Common wavelength axis used for resampling.

frostie.utils.wav_bins(wav)

Compute the wavelength bin edges for a given wavelength array.

Parameters:

wav (ndarray) – Wavelength array.

Returns:

bins – Bin widths between consecutive wavelengths.

Return type:

ndarray

frostie.utils.find_nearest(array, value)

Find the index of the array element closest to the supplied value.

If multiple elements are equally close, the first match is returned.

Parameters:

  • array (ndarray) – Array to search.

  • value (float) – Target value.

Returns:

index – Index of the closest array element.

Return type:

int

frostie.utils.Z_to_sigma(ln_Z1, ln_Z2)

Convert log-evidences of two models to a sigma confidence level.

Parameters:

  • ln_Z1 (float) – Log-evidence of full model.

  • ln_Z2 (float) – Log-evidence of reduced model.

Returns:

  • B (float) – Bayes factor.

  • sigma (float) – Sigma confidence level.