MUSE Pipeline Reference Manual  2.1.1
Data Structures | Typedefs
Recipe muse_bias: Combine several separate bias images into one master bias file.

Data Structures

struct  muse_bias_params_s
 Structure to hold the parameters of the muse_bias recipe. More...
 

Typedefs

typedef struct muse_bias_params_s muse_bias_params_t
 Structure to hold the parameters of the muse_bias recipe. More...
 

Detailed Description

Author
Peter Weilbacher
  This recipe combines several separate bias images into one master bias
  file.
  The master bias contains the combined pixel values, in adu, of the raw
  bias exposures, with respect to the image combination method used.

  Processing trims the raw data and records the overscan statistics,
  corrects the data levels using the overscan (if overscan is not "none")
  and combines the exposures using input parameters. The read-out noise is
  computed for each quadrant of the raw input images and stored as QC
  parameter. The variance extension is filled with an initial value
  accordingly, before image combination. Further QC statistics are
  computed on the output master bias. Additionally, bad columns are
  searched for and marked in the data quality extension.

Typedef Documentation

Structure to hold the parameters of the muse_bias recipe.

This structure contains the parameters for the recipe that may be set on the command line, in the configuration, or through the environment.