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Goals of this tutorial

Goals of this tutorial#

  1. See how we can normalize the stellar spectra

Handling individual Frames#

The low level approach to the normalization of stellar spectra is to manually load the Frames and call the relevant functions (S1D spectra also works)

To trigger the normalization we must now pass extra information in the config dictionary:

frame_information = {"NORMALIZE_SPECTRA": True,
                     "NORMALIZATION_MODE": "RASSINE",
                 }

The “NORMALIZATION_MODE” will be used to select the method that will be used to normalize the stellar spectra and it can support the algorithms described in Spectral_Normalization. Please refer to the page of the individual algorithms to understand the inputs that they need.

Note

Keep in mind that the current implementation of the spectral normalization will break all RV extraction algorithms. Do not use this functionality before trying to extract RVs.

High level approach#

If we don’t want to directly deal with the Frames we can call the normalization interface through the DataClass:

After this point we can either launch the normalization for all frames:

data_object.normalize_all()

Or handle the individual subInstruments:

data_object.normalize_all_from_subInst(data_object.get_subInstruments_with_valid_frames()[0])
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