[Gotthard-II] Dark Processing.

Introducing Gotthard2 dark notebook for processing Offset, Noise and BadPixels Dark constants.

Description

Gotthard-II Dark processing for Offset, Noise, and BadPixelsDark (Shape (1280, 2, 3)) out of 3 dark runs.

• RAW data is first converted into 10bit using the LUT. Then Offset(mean) and noise(std) and BadpixelsDark(wrong gain) are computed for each cell in parallel for a single run.

• BadPixelsDark consists of OFFSET_NOISE_EVAL_ERROR, NOISE_OUT_OF_THRESHOLD, and WRONG_GAIN_VALUE.

How Has This Been Tested?

Injected constants to test CALCAT

Relevant Documents (optional)

Types of changes

• New feature (non-breaking change which adds functionality)

Checklist:

• My code follows the code style of this project.
• Update cal_db_interactive https://git.xfel.eu/detectors/cal_db_interactive/-/merge_requests/81
• Add CALCAT mapping for Gotthard2 (Done for test_calcat only for now.)

Reviewers

@mramilli @schmidtp @hammerd

src/cal_tools/gotthard2/gotthard2lib.py

 import extra_data
 
-
 class Gotthard2Ctrl():
     def __init__(
         self,