GUIBRUSHR.Retrieval.ModelCalculation.LikelihoodLR module

Low-resolution likelihood calculations for atmospheric retrieval.

Manages spectral binning (emission and transmission), continuum estimation, and the full low-resolution likelihood evaluation. Extracted from ModelData.

class GUIBRUSHR.Retrieval.ModelCalculation.LikelihoodLR.LikelihoodLR(atmosphere, bestpars_data, model_type, clight)

Bases: object

Low-resolution likelihood evaluator for atmospheric retrieval.

Handles spectral binning to instrument resolution, emission/transmission mode handling, offset corrections, and chi-square likelihood evaluation.

Variables:

• atmosphere – Atmosphere object with species, resolution, stellar data.

• bestpars_data – Bestpars object with nfit.

• model_type – Model type string (“Retrieval”, “Model”, etc.).

• clight – Speed of light constant.

__init__(atmosphere, bestpars_data, model_type, clight)

low_resolution_lhood(temperature, mass_fraction, vmr, MMW, dict_calc_model, rp)

Compute likelihood for low-resolution observations.

This method calculates the likelihood by comparing the binned theoretical spectrum with low-resolution observational data. It handles spectral binning, offset corrections, and chi-square calculation for each instrument.

Parameters:

• temperature – Temperature profile

• mass_fraction – Mass fraction profiles for species

• vmr – Volume mixing ratios

• MMW – Mean molecular weight profile

• dict_calc_model – Dictionary containing model calculation parameters

• rp – Planet radius in cm

Returns:

• lhood: Log-likelihood value

• wl_full_resolution_LR: Full resolution wavelength array

• depth_full_resolution_LR: Full resolution spectrum

• wl_binned_LR_complete: Binned wavelength arrays for all instruments

• spectrum_binned_LR_complete: Binned spectra for all instruments

• opacity_contribution_LR: Opacity contributions (if model plotting)

• lh_low_resolution: Dictionary of per-instrument likelihood details

Return type:

Tuple containing