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The kmo_std_star recipe

kmo_std_star

Synopsis

Create the telluric correction frame.

Description

This recipe creates a telluric calibration frame and a PSF frame. It must be called after the kmo_illumination-recipe.

Since there won’t be enough standard stars to observe for all IFUs in one ex- posure, one has to do several exposures in a way that there is at least one standard star and one sky exposure in each IFU. A internal data organiser will analyse the provided exposures and select the appropriate frames as follows: 1. For each IFU the first standard star in the list of provided exposures is

taken. All subsequent standard star exposures for this IFU will be ignored
  1. A corresponding sky exposure will be chosen which will be as close in time to the standard star exposure as possible.
  2. For any IFUs not containing a standard star and a sky exposure an empty frame will be returned.

NOISE_SPEC contains in any case the shot noise [sqrt(counts*gain)/gain]. If the exposures have been taken with template KMOS_spec_cal_stdstarscipatt, then an additional noise component is added in: All existing sky exposures for an IFU are subtracted pairwise, spectra are extracted and the std deviation is calculated.

Input files

DO                      KMOS
category                Type  Explanation                   Required #Frames
--------                ----- -----------                   -------- -------
STD                     RAW   Std. star & sky exposures         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 frame                 Y      1
WAVE_BAND               F2L   Table with start-/end-wavelengths Y      1
ILLUM_CORR              F2I   Illumination correction           N     0,1
SOLAR_SPEC              F1S   Solar spectrum                    N     0,1
                              (only for G stars)
ATMOS_MODEL             F1S   Model atmospheric transmisson     N     0,1
                              (only for OBAF stars in K band)
SPEC_TYPE_LOOKUP        F2L   LUT  eff. stellar temperature     N     0,1

Output files

DO                      KMOS
category                Type   Explanation
--------                -----  -----------
TELLURIC                F1I    The normalised telluric spectrum
                               (including errors)
STAR_SPEC               F1I    The extracted star spectrum
                               (including errors)
STD_IMAGE               F2I    The standard star PSF images
STD_MASK                F2I    The generated mask used to extract the star
                               spectrum
NOISE_SPEC              F1I    The extracted noise spectrum

Constructor

cpl.Recipe("kmo_std_star")

Create an object for the recipe kmo_std_star.

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

Parameters

kmo_std_star.param.startype

The spectral type of the star (O, B, A, F, G) Format: G4V etc. (str; default: ‘’) [default=”“].

kmo_std_star.param.imethod

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

kmo_std_star.param.fmethod

Either fit a ‘gauss’ or ‘moffat’ profile. (str; default: ‘gauss’) [default=”gauss”].

kmo_std_star.param.neighborhoodRange

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

kmo_std_star.param.magnitude

The magnitude of the std star. For HK two values have to provided (eg. 12.1,13.2) (str; default: ‘’) [default=”“].

kmo_std_star.param.flux

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

kmo_std_star.param.save_cubes

TRUE: Save reconstructed cubes, FALSE: otherwise (bool; default: False) [default=False].

kmo_std_star.param.no_noise

Applies only for data taken with template KMOS_spec_cal_stdstarscipatt: FALSE: Calculate noise-spectra on all sky exposures. TRUE: skip this step (bool; default: False) [default=False].

kmo_std_star.param.xcal_interpolation

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

kmo_std_star.param.suppress_extension

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

kmo_std_star.param.b_samples

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

kmo_std_star.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_std_star.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_std_star.param.cmethod

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

kmo_std_star.param.cpos_rej

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

kmo_std_star.param.cneg_rej

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

kmo_std_star.param.citer

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

kmo_std_star.param.cmax

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

kmo_std_star.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_std_star = cpl.Recipe("kmo_std_star")

kmo_std_star.param.startype = ""
kmo_std_star.param.imethod = "CS"
kmo_std_star.param.fmethod = "gauss"
kmo_std_star.param.neighborhoodRange = 1.001
kmo_std_star.param.magnitude = ""
kmo_std_star.param.flux = True
kmo_std_star.param.save_cubes = False
kmo_std_star.param.no_noise = False
kmo_std_star.param.xcal_interpolation = True
kmo_std_star.param.suppress_extension = False
kmo_std_star.param.b_samples = 2048
kmo_std_star.param.b_start = -1.0
kmo_std_star.param.b_end = -1.0
kmo_std_star.param.cmethod = "ksigma"
kmo_std_star.param.cpos_rej = 3.0
kmo_std_star.param.cneg_rej = 3.0
kmo_std_star.param.citer = 3
kmo_std_star.param.cmax = 1
kmo_std_star.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_std_star = cpl.Recipe("kmo_std_star")
[...]
res = kmo_std_star( ..., param = {"startype":"", "imethod":"CS"})

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.