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The kmo_multi_reconstruct recipe

kmo_multi_reconstruct

Synopsis

Reconstruct and combine obj/sky-pairs in one step.

Description

Ideally at least two data frames have to be provided since we need for each IFU pointing to an object as well a sky frame for the same IFU.

If an OH spectrum is given in the SOF file the lambda axis will be corrected using the OH lines as reference.

All IFUs with the same object name will be reconstructed and combined in one step Telluric correction is only supported if the objects have been observed with the same IFU on all exposures (dithering).

The number of created files depends on the number of objects of different name.

If the user just wants to combine a certain object, the parameters –name or –ifus can be used.

Exposures taken with the templates KMOS_spec_obs_mapping8 and KMOS_spec_obs_mapping24 can’t be processed with this recipe! Use kmo_sci_red instead.

Input files

DO                    KMOS
category              Type   Explanation                   Required #Frames
--------              -----  -----------                   -------- -------
SCIENCE               RAW    The science frames                Y      >=1
XCAL                  F2D    x calibration frame               Y       1
YCAL                  F2D    y calibration frame               Y       1
LCAL                  F2D    Wavelength calib. frame           Y       1
MASTER_FLAT           F2D    Master flat                       Y      0,1
WAVE_BAND             F2L    Table with start-/end-wavelengths Y       1
TELLURIC              F1I    normalised telluric spectrum      N      0,1
OH_SPEC               F1S    Vector holding OH lines           N      0,1

Output files

DO                    KMOS
category              Type   Explanation
--------              -----  -----------
CUBE_MULTI            F3I    Combined cubes with noise

Constructor

cpl.Recipe("kmo_multi_reconstruct")

Create an object for the recipe kmo_multi_reconstruct.

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

Parameters

kmo_multi_reconstruct.param.imethod

Method to use for interpolation during reconstruction. [“NN” (nearest neighbour), “lwNN” (linear weighted nearest neighbor), “swNN” (square weighted nearest neighbor), “MS” (Modified Shepard’s method) (str; default: ‘MS’) [default=”MS”].

kmo_multi_reconstruct.param.method

The shifting method: ‘none’: no shifting, combined directly, ‘header’: shift according to WCS (default), ‘center’: centering algorithm, ‘user’: read shifts from file (str; default: ‘header’) [default=”header”].

kmo_multi_reconstruct.param.fmethod

The fitting method (applies only when method=’center’): ‘gauss’: fit a gauss function to collapsed image (default), ‘moffat’: fit a moffat function to collapsed image (str; default: ‘gauss’) [default=”gauss”].

kmo_multi_reconstruct.param.name

Name of the object to combine. (str; default: ‘’) [default=”“].

kmo_multi_reconstruct.param.ifus

The indices of the IFUs to combine. “ifu1;ifu2;...” (str; default: ‘’) [default=”“].

kmo_multi_reconstruct.param.pix_scale

Change the pixel scale [arcsec]. Default of 0.2” results into cubes of 14x14pix, a scale of 0.1” results into cubes of 28x28pix, etc. (float; default: 0.2) [default=0.2].

kmo_multi_reconstruct.param.suppress_extension

Suppress arbitrary filename extension.(TRUE (apply) or FALSE (don’t apply) (bool; default: False) [default=False].

kmo_multi_reconstruct.param.neighborhoodRange

Defines the range to search for neighbors in pixels (float; default: 1.001) [default=1.001].

kmo_multi_reconstruct.param.filename

The path to the file with the shift vectors.(Applies only to method=’user’) (str; default: ‘’) [default=”“].

kmo_multi_reconstruct.param.flux

TRUE: Apply flux conservation. FALSE: otherwise (bool; default: False) [default=False].

kmo_multi_reconstruct.param.background

TRUE: Apply background removal. FALSE: otherwise (bool; default: False) [default=False].

kmo_multi_reconstruct.param.xcal_interpolation

TRUE: Interpolate xcal between rotator angles. FALSE: otherwise (bool; default: True) [default=True].

kmo_multi_reconstruct.param.no_subtract

Don’t sky subtract object and references.(TRUE (apply) or FALSE (don’t apply) (bool; default: False) [default=False].

kmo_multi_reconstruct.param.dev_cal

Development only: If calibration data is to be reconstructed the ALPHA/DELTA keywords are missing. Setting this parameter to TRUE prevents according data check (bool; default: False) [default=False].

kmo_multi_reconstruct.param.obj_sky_table

The path to the file with the modified obj/sky associations. (str; default: ‘’) [default=”“].

kmo_multi_reconstruct.param.b_samples

The number of samples in wavelength for the reconstructed cube (long; default: 2048) [default=2048].

kmo_multi_reconstruct.param.b_start

The lowest wavelength [um] to take into account when reconstructing (default of -1 sets the proper value for the actual band automatically) (float; default: -1.0) [default=-1.0].

kmo_multi_reconstruct.param.b_end

The highest wavelength [um] to take into account when reconstructing (default of -1 sets the proper value for the actual band automatically) (float; default: -1.0) [default=-1.0].

kmo_multi_reconstruct.param.cmethod

Either apply “average”, “median”, “sum”, “min_max.” or “ksigma”. (str; default: ‘ksigma’) [default=”ksigma”].

kmo_multi_reconstruct.param.cpos_rej

The positive rejection threshold for kappa-sigma-clipping (sigma). (float; default: 3.0) [default=3.0].

kmo_multi_reconstruct.param.cneg_rej

The negative rejection threshold for kappa-sigma-clipping (sigma). (float; default: 3.0) [default=3.0].

kmo_multi_reconstruct.param.citer

The number of iterations for kappa-sigma-clipping. (long; default: 3) [default=3].

kmo_multi_reconstruct.param.cmax

The number of maximum pixel values to clip with min/max-clipping. (long; default: 1) [default=1].

kmo_multi_reconstruct.param.cmin

The number of minimum pixel values to clip with min/max-clipping. (long; default: 1) [default=1].

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

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

kmo_multi_reconstruct.param.imethod = "MS"
kmo_multi_reconstruct.param.method = "header"
kmo_multi_reconstruct.param.fmethod = "gauss"
kmo_multi_reconstruct.param.name = ""
kmo_multi_reconstruct.param.ifus = ""
kmo_multi_reconstruct.param.pix_scale = 0.2
kmo_multi_reconstruct.param.suppress_extension = False
kmo_multi_reconstruct.param.neighborhoodRange = 1.001
kmo_multi_reconstruct.param.filename = ""
kmo_multi_reconstruct.param.flux = False
kmo_multi_reconstruct.param.background = False
kmo_multi_reconstruct.param.xcal_interpolation = True
kmo_multi_reconstruct.param.no_subtract = False
kmo_multi_reconstruct.param.dev_cal = False
kmo_multi_reconstruct.param.obj_sky_table = ""
kmo_multi_reconstruct.param.b_samples = 2048
kmo_multi_reconstruct.param.b_start = -1.0
kmo_multi_reconstruct.param.b_end = -1.0
kmo_multi_reconstruct.param.cmethod = "ksigma"
kmo_multi_reconstruct.param.cpos_rej = 3.0
kmo_multi_reconstruct.param.cneg_rej = 3.0
kmo_multi_reconstruct.param.citer = 3
kmo_multi_reconstruct.param.cmax = 1
kmo_multi_reconstruct.param.cmin = 1

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

import cpl
kmo_multi_reconstruct = cpl.Recipe("kmo_multi_reconstruct")
[...]
res = kmo_multi_reconstruct( ..., param = {"imethod":"MS", "method":"header"})

See also

cpl.Recipe for more information about the recipe object.

Bug reports

Please report any problems to Alex Agudo Berbel. Alternatively, you may send a report to the ESO User Support Department.