The hawki_detector_noise recipe



HAWKI detector noise recipe


hawki_detector_noise – HAWKI recipe to find readnoise and gain.

Compute the readnoise and gain for the hawki detectors using two dark frames and two flat field frames. Both must have been exposed with NDIT=1 The program accepts the following files in the SOF:

Tag Description DARK A list of raw dark images FLAT_TWILIGHT A list of raw flat images MASTER_BPM Optional master bad pixel mask or MASTER_CONF Optional master confidence map

If a master bad pixel mask or confidence map is included then thebad pixels will be flagged during the statistical analysis



Create an object for the recipe hawki_detector_noise.

import cpl
hawki_detector_noise = cpl.Recipe("hawki_detector_noise")



Rejection threshold in sigma above background (float; default: 5.0) [default=5.0].

The following code snippet shows the default settings for the available parameters.

import cpl
hawki_detector_noise = cpl.Recipe("hawki_detector_noise")

hawki_detector_noise.param.thresh = 5.0

You may also set or overwrite some or all parameters by the recipe parameter param, as shown in the following example:

import cpl
hawki_detector_noise = cpl.Recipe("hawki_detector_noise")
res = hawki_detector_noise( ..., param = {"thresh":5.0})

See also

cpl.Recipe for more information about the recipe object.

Bug reports

Please report any problems to Jim Lewis. Alternatively, you may send a report to the ESO User Support Department.