Adapt the data

Adapt Observations and Models:

ForMoSA.adapt.adapt_obs_mod.launch_adapt(global_params, adapt_model=True)[source]

Adapt the synthetic spectra of a grid to make them comparable with the data.

Parameters:

  • global_params (object) – Class containing each parameter

  • adapt_model (bool) – True by default to also adapt the grid

Returns:

None

Author: Simon Petrus, Matthieu Ravet, Paulina Palma-Bifani and Allan Denis

Adapt Grid:

ForMoSA.adapt.adapt_grid.adapt_grid(global_params, obs_dict, res_mod_nativ, target_wav_mod, target_res_mod, obs_name, indobs=0)[source]

Adapt the synthetic spectra of a grid to make them comparable with the data.

Parameters:

  • global_params (object) – Class containing each parameter

  • obs_dict (dict) – Dictionay containing all the observationnal entries (photometry, spectroscopy and/or optional)

  • res_mod_nativ (array) – Native resolution of the grid (might have changed if Nyquist is not respected or resample at wav_obs_spectro)

  • target_wav_mod (array) – Targeted wavelength grid of the final grid

  • target_res_mod (array) – Targeted spectral resolution of the final grid

  • obs_name (str) – Name of the current observation looping

  • indobs (int) – Index of the current observation looping

Returns:

None

Author: Simon Petrus, Matthieu Ravet, Paulina Palma-Bifani, Arthur Vigan and Allan Denis

ForMoSA.adapt.adapt_grid.array_to_numpy(shared_array, shape, dtype)[source]

Return a numpy array from a shared array

Parameters:

  • shared_array (mp.RawArray) – Raw shared array

  • shape (tuple) – Shape of the array

  • dtype (numpy dtype) – Data type of the array

Returns

numpy_array (np.ndarray): Numpy array mapped to shared array

Author: Arthur Vigan

ForMoSA.adapt.adapt_grid.tpool_adapt(idx, global_params, obs_dict, wav_mod_nativ, res_mod_nativ, target_wav_mod, target_res_mod, indobs, keys, titles, values)[source]

Worker function for the parallelisation process of adapt_model()

Parameters:

  • idx (tuple) – Index of the current model

  • global_params (object) – Class containing each parameter

  • wav_mod_nativ (array) – Native wavelength array of the grid

  • res_mod_nativ (array) – Native resolution of the grid (might have changed if Nyquist is not respected or resample at wav_obs_spectro)

  • target_wav_mod (array) – Targeted wavelength grid of the final grid

  • target_res_mod (array) – Targeted spectral resolution of the final grid

  • indobs (int) – Index of the current observation looping

  • keys (list) – Attribute keys

  • titles (list) – Attribute titles

  • values (dict) – Values for each attribute

Returns:

None

Author: Arthur Vigan

ForMoSA.adapt.adapt_grid.tpool_adapt_init(grid_input_shape_i, grid_input_data_i, grid_spectro_shape_i, grid_spectro_data_i, grid_photo_shape_i, grid_photo_data_i)[source]

Thread pool init function for the parallelisation process of adapt_model()

This function initializes the global variables stored as shared arrays

Extraction Functions:

ForMoSA.adapt.adapt_extraction_functions.adapt_model(global_params, obs_dict, wav_mod_nativ, flx_mod_nativ, res_mod_nativ, target_wav_mod, target_res_mod, indobs=0)[source]

Extracts a synthetic spectrum from a grid and decreases its spectral resolution. The photometry points are calculated too.

Parameters:

  • global_params (object) – Class containing each parameter used in ForMoSA

  • obs_dict (dict) – Dictionay containing all the observationnal entries (photometry, spectroscopy and/or optional)

  • wav_mod_nativ (array) – Native wavelength grid of the model

  • flx_mod_nativ (array) – Flux of the model

  • res_mod_nativ (array) – Spectral resolution of the model

  • target_wav_mod (array) – Targeted wavelength grid of the final grid

  • target_res_mod (array) – Targeted spectral resolution of the final grid

  • indobs (int) – Index of the current observation looping

Returns:

List containing the sub-spectra defined by the parameter “wav_for_adapt”. - mod_photo (array): List containing the photometry (‘0’ replace the spectral resolution here).

Return type:

  • mod_spectro (array)

Author: Simon Petrus, Matthieu Ravet

ForMoSA.adapt.adapt_extraction_functions.adapt_observation(global_params, wav_mod_nativ, res_mod_nativ, obs_name, indobs=0)[source]

Take back the extracted data spectrum from the function ‘extract_observation’, decrease its spectral resolution and remove the continuum if necessary

Parameters:

  • global_params (object) – Class containing each parameter

  • wav_mod_nativ (array) – Wavelength grid of the model

  • res_mod_nativ (array) – Spectral resolution of the model

  • obs_name (str) – Name of the current observation looping

  • indobs (int) – Index of the current observation looping

Returns:

Dictionay containing all the observationnal entries (photometry, spectroscopy and/or optional)

Return type:

  • obs_dict (dict)

Author: Simon Petrus, Matthieu Ravet

ForMoSA.adapt.adapt_extraction_functions.extract_observation(global_params, indobs=0)[source]

Extract the information from the observation file, including the wavelengths (um - vacuum), flux (W.m-2.um.1), errors (W.m-2.um.1), covariance (W.m-2.um.1)**2, spectral resolution, instrument/filter name, transmission (Atmo+inst) and star flux (W.m-2.um.1). The wavelength range is define by the parameter “wav_for_adapt”.

Parameters:

  • global_params (object) – Class containing each parameter

  • obs_name (str) – Name of the current observation looping

  • indobs (int) – Index of the current observation looping

Returns:

Dictionay containing all the observationnal entries (photometry, spectroscopy and/or optional)

Return type:

  • obs_dict (dict)

Author: Simon Petrus, Matthieu Ravet and Allan Denis

Emulators: