isofit.configs.sections.instrument_config
=========================================

.. py:module:: isofit.configs.sections.instrument_config


Classes
-------

.. autoapisummary::

   isofit.configs.sections.instrument_config.InstrumentUnknowns
   isofit.configs.sections.instrument_config.InstrumentConfig


Module Contents
---------------

.. py:class:: InstrumentUnknowns(sub_configdic: dict = None)

   Bases: :py:obj:`isofit.configs.base_config.BaseConfigSection`


   Instrument Unknowns configuration.


   .. py:attribute:: _channelized_radiometric_uncertainty_file_type


   .. py:attribute:: channelized_radiometric_uncertainty_file
      :value: None



   .. py:attribute:: _uncorrelated_radiometric_uncertainty_type


   .. py:attribute:: uncorrelated_radiometric_uncertainty
      :value: None



   .. py:attribute:: _wavelength_calibration_uncertainty_type


   .. py:attribute:: wavelength_calibration_uncertainty
      :value: None



   .. py:attribute:: _stray_srf_uncertainty_type


   .. py:attribute:: stray_srf_uncertainty
      :value: None



   .. py:attribute:: _dn_uncertainty_file_type


   .. py:attribute:: dn_uncertainty_file
      :value: None



   .. py:method:: _check_config_validity() -> List[str]


.. py:class:: InstrumentConfig(sub_configdic: dict = None)

   Bases: :py:obj:`isofit.configs.base_config.BaseConfigSection`


   Instrument configuration.


   .. py:attribute:: _wavelength_file_type


   .. py:attribute:: wavelength_file
      :value: None



   .. py:attribute:: _integrations_type


   .. py:attribute:: integrations
      :value: None


      Number of integrations comprising the measurement.
      Noise diminishes with the square root of this number.  Applicable in concert with parametric_noise_file
      or pushbroom_noise_file


   .. py:attribute:: _unknowns_type


   .. py:attribute:: unknowns
      :type:  InstrumentUnknowns
      :value: None



   .. py:attribute:: _fast_resample_type


   .. py:attribute:: fast_resample
      :value: True


      Approximates a complete resampling by a convolution with a uniform FWHM.

      :type: bool


   .. py:attribute:: _statevector_type


   .. py:attribute:: statevector
      :type:  isofit.configs.sections.statevector_config.StateVectorConfig


   .. py:attribute:: _SNR_type


   .. py:attribute:: SNR
      :value: None


      We have several ways to define the instrument noise.  The simplest model is based on a single uniform
      SNR number that is signal-independnet and applied uniformly to all wavelengths

      :type: float


   .. py:attribute:: _parametric_noise_file_type


   .. py:attribute:: parametric_noise_file
      :value: None


      We have several ways to define the instrument noise.
      The second option is a parametric, signal- and wavelength-
      dependent noise function. This is given by a four-column
      ASCII Text file.  Rows represent, respectively, the reference
      wavelength, and coefficients A, B, and C that define the
      noise-equivalent radiance via NeDL = A * sqrt(B+L) + C
      For the actual radiance L.

      :type: str


   .. py:attribute:: _pushbroom_noise_file_type


   .. py:attribute:: pushbroom_noise_file
      :value: None


      We have several ways to define the instrument noise.
      The third option is a full pushbroom noise model that
      specifies noise columns and covariances independently for
      each cross-track location via an ENVI-format binary data file.

      :type: str


   .. py:attribute:: _nedt_noise_file_type


   .. py:attribute:: nedt_noise_file
      :value: None


      We have several ways to define the instrument noise.  The last is NEDT noise

      :type: str


   .. py:method:: _check_config_validity() -> List[str]