The fors_bias recipe

fors_bias

Synopsis

Compute the master bias frame

Description

This recipe is used to combine input raw BIAS frames into a master bias frame. The overscan regions, if present, are removed from the result.

Input files

DO category:               Type:       Explanation:         Required:
BIAS                       Raw         Bias frame              Y

Output files

DO category:               Data type:  Explanation:
MASTER_BIAS                FITS image  Master bias frame

Constructor

cpl.Recipe("fors_bias")

Create an object for the recipe fors_bias.

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

Parameters

fors_bias.param.stack_method

Frames combination method (str; default: ‘minmax’) [default=”minmax”].

fors_bias.param.minrejection

Number of lowest values to be rejected (int; default: 1) [default=1].

fors_bias.param.maxrejection

Number of highest values to be rejected (int; default: 1) [default=1].

fors_bias.param.klow

Low threshold in ksigma method (float; default: 3.0) [default=3.0].

fors_bias.param.khigh

High threshold in ksigma method (float; default: 3.0) [default=3.0].

fors_bias.param.kiter

Max number of iterations in ksigma method (int; default: 999) [default=999].

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

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

fors_bias.param.stack_method = "minmax"
fors_bias.param.minrejection = 1
fors_bias.param.maxrejection = 1
fors_bias.param.klow = 3.0
fors_bias.param.khigh = 3.0
fors_bias.param.kiter = 999

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

import cpl
fors_bias = cpl.Recipe("fors_bias")
[...]
res = fors_bias( ..., param = {"stack_method":"minmax", "minrejection":1})

See also

cpl.Recipe for more information about the recipe object.

Bug reports

Please report any problems to Jonas M. Larsen, Carlo Izzo. Alternatively, you may send a report to the ESO User Support Department.