Defects

`azcam.testers.defects`

`Defects`

Bases: Tester

Find and quantify image azcam.db.tools["defects"].

`analyze()`

Find dark defects in a flat/superflat image.

`analyze_bright_defects()`

Find bright defects in dark signal image.

`analyze_dark_defects()`

Find dark defects in a flat/superflat image.

`copy_data_files(folder='')`

Copy data files to proper report folder.

`find_section(x_coord, y_coord, num_sections_vertical, num_sections_horizontal, vertical_pixels, horizontal_pixels)`

Find the section the group of bad pixels resides in based off a coordinate in the group. Can be used for any number of horizontal and vertical sections.

`get_defect_coords(mask_in)`

Get the coordinates [col,row] of defects, not including edge mask.

`make_bright_defects_report()`

Write bright defects report file.

`make_dark_defects_report()`

Write dark defects report file.

`make_defects_mask()`

Create a single mask from Edge Mask, Bright mask, and Dark mask. Execute AFTER dark and bright defects are found.

`make_edge_mask(ImageBuffer, edge_size=-1)`

Creates a mask the size of ImageBuffer which has its edges masked to 0. The mask is a numpy array filled with bools. Inp: edge_size (or self.edge_size) is the integer number of pixels closest to edge to mask. Out: .edge_mask is the numpy array.

`plot_defects_mask()`

Plot the defective pixel mask.

`read_defects_mask(filename='')`

Read a defects mask (FITS format).

`report()`

Write defects report file for Bright and Dark. Run only after all analysis has been completed.