The uves_cal_mbias recipe

uves_cal_mbias

Synopsis

Creates the master bias frame

Description

This recipe creates a master bias frame by computing the median of all input bias frames. All input frames must have same tag and size and must be either BIAS_BLUE or BIAS_RED.

On blue input the recipe computes one master bias frame; on red input a master bias frame for each chip is produced. The average, standard deviation and median of the master bias image(s) are written to the FITS header(s)

Constructor

cpl.Recipe("uves_cal_mbias")

Create an object for the recipe uves_cal_mbias.

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

Parameters

uves_cal_mbias.param.clean_traps

Clean detector traps. If TRUE detector traps are interpolated.The bad pixels are replaced by the average of thenearest good pixels in the same column, or simply marked as bad. The positions of bad pixels are hard-coded (as function of UVES chip). (bool; default: False) [default=False].

uves_cal_mbias.param.dc_mask_x

x-size (pixel) of the mask starting at (x,y) = (1,1) (int; default: 1) [default=1].

uves_cal_mbias.param.dc_mask_y

y-size (pixel) of the mask starting at (x,y) = (1,1) (int; default: 1) [default=1].

uves_cal_mbias.param.debug

Whether or not to save intermediate results to local directory (bool; default: False) [default=False].

uves_cal_mbias.param.khigh

Kappa used to clip high level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

uves_cal_mbias.param.klow

Kappa used to clip low level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

uves_cal_mbias.param.niter

Number of kappa sigma iterations, when method is set to ‘mean’ (int; default: 5) [default=5].

uves_cal_mbias.param.pd_compute

Determine Fixed Pattern Noise. If TRUE the Fixed Patter Noise power spectrum is determined.(as function of UVES chip). (bool; default: False) [default=False].

uves_cal_mbias.param.plotter

Any plots produced by the recipe are redirected to the command specified by this parameter. The plotting command must contain the substring ‘gnuplot’ and must be able to parse gnuplot syntax on its standard input. Valid examples of such a command may include ‘gnuplot -persist’ and ‘cat > mygnuplot$$.gp’. A finer control of the plotting options can be obtained by writing an executable script, e.g. my_gnuplot.pl, that executes gnuplot after setting the desired gnuplot options (e.g. set terminal pslatex color). To turn off plotting, set this parameter to ‘no’ (str; default: ‘no’) [default=”no”].

uves_cal_mbias.param.process_chip

For RED arm data process the redl, redu, or both chip(s) (str; default: ‘both’) [default=”both”].

uves_cal_mbias.param.stack_method

Method used to build master frame (str; default: ‘median’) [default=”median”].

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

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

uves_cal_mbias.param.clean_traps = False
uves_cal_mbias.param.dc_mask_x = 1
uves_cal_mbias.param.dc_mask_y = 1
uves_cal_mbias.param.debug = False
uves_cal_mbias.param.khigh = 5.0
uves_cal_mbias.param.klow = 5.0
uves_cal_mbias.param.niter = 5
uves_cal_mbias.param.pd_compute = False
uves_cal_mbias.param.plotter = "no"
uves_cal_mbias.param.process_chip = "both"
uves_cal_mbias.param.stack_method = "median"

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

import cpl
uves_cal_mbias = cpl.Recipe("uves_cal_mbias")
[...]
res = uves_cal_mbias( ..., param = {"clean_traps":False, "dc_mask_x":1})

See also

cpl.Recipe for more information about the recipe object.

Bug reports

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