The muse_scipost_combine_pixtables recipe



Combine MUSE pixel tables, either from different IFUs, or from different exposures, or both.


Sort pixel tables by exposure and combine them with applied weights into one big pixel table. This is a task separated from muse_scipost.



Create an object for the recipe muse_scipost_combine_pixtables.

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



Cut off the data below this wavelength after loading the pixel table(s). (float; default: 4000.0) [default=4000.0].


Cut off the data above this wavelength after loading the pixel table(s). (float; default: 10000.0) [default=10000.0].


Type of weighting scheme to use when combining multiple exposures. “exptime” just uses the exposure time to weight the exposures, “fwhm” uses the DIMM information in the header as well, “none” preserves an existing weight column in the input pixel tables without changes. (str; default: ‘exptime’) [default=”exptime”].

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

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

muse_scipost_combine_pixtables.param.lambdamin = 4000.0
muse_scipost_combine_pixtables.param.lambdamax = 10000.0
muse_scipost_combine_pixtables.param.weight = "exptime"

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

import cpl
muse_scipost_combine_pixtables = cpl.Recipe("muse_scipost_combine_pixtables")
res = muse_scipost_combine_pixtables( ..., param = {"lambdamin":4000.0, "lambdamax":10000.0})

See also

cpl.Recipe for more information about the recipe object.

Bug reports

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