Reduction Configuration

This only applies to GMOS reduction where a full reduction is performd. SPRAT reductions begin with flattened spectral image data.

GMOS field-flattening configuration (YAML)

folder_path: "."
output_folder_path: "output"
light_folder: ~
flat_folder: ~
arc_folder: ~
bias_folder: ~
arc_flat_folder: ~
arc_bias_folder: ~
light_extension: ["fits", "fit", "bz2", "gz"]
flat_extension: ["fits", "fit", "bz2", "gz"]
arc_extension: ["fits", "fit", "bz2", "gz"]
bias_extension: ["fits", "fit", "bz2", "gz"]
arc_flat_extension: ["fits", "fit", "bz2", "gz"]
arc_bias_extension: ["fits", "fit", "bz2", "gz"]
bias_master_filename: bias_master
arc_bias_master_filename: arc_bias_master
flat_row_size: 10
flat_edge_size: 10
flat_strip_size: 20
force_recreate_bias: false
save_bias: true
save_bias_format: ["fits", "npy"]
overwrite_bias_image: true
save_flattened_image: true
save_flattened_image_format: ["fits", "npy"]
overwrite_flattened_image: true
create_fig: true
show_fig: false
diagnostic_pdf: true

The light_folder, flat_folder, arc_folder, bias_folder, arc_flat_folder and arc_bias_folder are relative to the folder_path. If they are empty, the folders are assumed to be called light, flat, arc, bias, arc_flat, arc_bias folders located at folder_path.

All the files with the extension listed in the respective extension arguments (light_extension…) will be processed.

flat_row_size is the number of rows on either size from the central row of the spectral image that are to be summed to compute the sensitivity function. flat_edge_size is the number of edge pixels that are removed in the computation. flat_strip_size is the number of pixels from the flat_edge_size-th pixel to be fitted a straight line over.