Documentation update.

src/include/stir/recon_buildblock/MLEstimateComponentBasedNormalisation.h

@@ -60,8 +60,8 @@ class MLEstimateComponentBasedNormalisation
  /*!
  \brief Constructor
  \param out_filename_prefix The prefix for the output files
- \param measured_data The measured projection data
- \param model_data The model projection data
+ \param measured_data_v The measured projection data
+ \param model_data_v The model projection data
  \param num_eff_iterations_v The number of (sub-)efficiency iterations to perform per iteration of the algorithm
  \param num_iterations_v The number of algorithm iterations to perform
  \param do_geo_v Whether to perform geo normalization calculations
@@ -98,6 +98,7 @@ class MLEstimateComponentBasedNormalisation
  //! Get the block data, requires process() to be called first and do_block to be true
  BlockData3D get_block_data() const;
 
+ //! Construct a BinNormalisationPETFromComponents from the calculated efficiencies, geo data and block data
  BinNormalisationPETFromComponents construct_bin_normfactors_from_components() const;
 
 private:
@@ -168,13 +169,17 @@ class MLEstimateComponentBasedNormalisation
  //! Whether to save the each iteration of the efficiencies, geo data and block data to file.
  bool do_save_to_file;
 
- // The projdata info of the measured data
+ //! The projdata info of the measured data
  std::shared_ptr<const ProjDataInfo> projdata_info;
 
  // Calculated variables
+ //! The efficiencies calculated by the algorithm
  DetectorEfficiencies norm_efficiencies;
+ //! The geo data calculated by the algorithm, if do_geo is true
  BlockData3D norm_block_data;
+ //! The block data calculated by the algorithm, if do_block is true
  GeoData3D norm_geo_data;
+
  //! The threshold for the Kullback-Leibler divergence calculation
  float threshold_for_KL;
  FanProjData model_fan_data;