CAP is a CCD analysis pipeline.
Usage:
$ python cap.py -i /path/to/directory
where the target directory assumes the following (specific) tree structure:
root_path
|--- bias
| |--- bias-001.fit
| |--- bias-002.fit
| |--- ...
|
|--- dark
| |--- dark-001.fit
| |--- dark-002.fit
|
|--- flat
| |--- flat_half
| |--- flat_half-001.fit
| |--- flat_half-002.fit
| |--- ...
| |--- flat_linear
| |--- 0_1
| |--- flat-001_0_1.fit
| |--- flat-002_0_1.fit
| |--- 0_2
| |--- flat-001_0_2.fit
| |--- flat-002_0_2.fit
| |--- ...
| |--- 1_0
| |--- ...
| |--- 2_0
| |--- 10_0
| |--- 20_0
| |--- ...
The default directory is the current working directory.
The pipeline works on a series of bias, dark, and flat FITS frames in order to produce the following:
- Histograms of averaged bias and flatfield frames
- Calculation of CCD chip gain and readout noise
- Plots of the CCD linearity
Contact richard.camuccio01 {at} utrgv.edu for questions.