The kmos_std_star recipe¶
-
kmos_std_star
¶
Synopsis¶
Create the telluric correction frame.
Description¶
This recipe creates a telluric frame and a PSF frames.
Since there cannot be 1 std star per IFU in one exposure, we use several exposures in order to have at least one standard star and one sky in each IFU. The frames are organised following this logic: 1. For each IFU the first standard star in the list of frames is
taken. All subsequent standard star exposures for this IFU are ignored
- A closest in time sky exposure is uѕed
- IFUs not containing a standard star and a sky will be empty in the result
NOISE_SPEC contains the shot noise [sqrt(counts*gain)/gain] If the exposures have been taken with KMOS_spec_cal_stdstarscipatt, an additional noise component is added: All existing sky exposures for an IFU are subtracted pairwise, spectra are extracted and the std deviation is computed
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-wl 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 mask used to extract the star spec
NOISE_SPEC F1I The extracted noise spectrum
Constructor¶
-
cpl.
Recipe
("kmos_std_star") Create an object for the recipe kmos_std_star.
import cpl
kmos_std_star = cpl.Recipe("kmos_std_star")
Parameters¶
-
kmos_std_star.param.
startype
¶ The spectral type of the star (O, B, A, F, G) e.g. G4V (str; default: ‘’) [default=”“].
-
kmos_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”].
-
kmos_std_star.param.
fmethod
¶ Fitting method (gauss, moffat, profile (str; default: ‘gauss’) [default=”gauss”].
-
kmos_std_star.param.
neighborhoodRange
¶ Defines the range to search for neighbors in pixels (float; default: 1.001) [default=1.001].
-
kmos_std_star.param.
magnitude
¶ Star magnitude (2 values in HK, eg. 12.1,13.2) (str; default: ‘’) [default=”“].
-
kmos_std_star.param.
flux
¶ TRUE: Apply flux conservation. FALSE: otherwise (bool; default: True) [default=True].
-
kmos_std_star.param.
save_cubes
¶ Flag to save reconstructed cubes (bool; default: False) [default=False].
-
kmos_std_star.param.
no_noise
¶ Skip the noise computation on sky exposures (bool; default: False) [default=False].
-
kmos_std_star.param.
xcal_interpolation
¶ Flag to Interpolate xcal between rotator angles (bool; default: True) [default=True].
-
kmos_std_star.param.
suppress_extension
¶ Flag to Suppress filename extension (bool; default: False) [default=False].
-
kmos_std_star.param.
b_samples
¶ The number of samples in wavelength for the reconstructed cube (int; default: 2048) [default=2048].
-
kmos_std_star.param.
mask_method
¶ Method used : mask, integrated or optimal (str; default: ‘optimal’) [default=”optimal”].
-
kmos_std_star.param.
centre
¶ The centre of the circular mask (pixel) (str; default: ‘7.5,7.5’) [default=”7.5,7.5”].
-
kmos_std_star.param.
radius
¶ The radius of the circular mask (pixel) (float; default: 3.0) [default=3.0].
-
kmos_std_star.param.
cmethod
¶ Apply “average”, “median”, “sum”, “min_max.” or “ksigma”. (str; default: ‘ksigma’) [default=”ksigma”].
-
kmos_std_star.param.
cpos_rej
¶ The positive rejection threshold for kappa-sigma-clipping (sigma). (float; default: 3.0) [default=3.0].
-
kmos_std_star.param.
cneg_rej
¶ The negative rejection threshold for kappa-sigma-clipping (sigma). (float; default: 3.0) [default=3.0].
-
kmos_std_star.param.
citer
¶ The number of iterations for kappa-sigma-clipping. (int; default: 3) [default=3].
-
kmos_std_star.param.
cmax
¶ The number of maximum pixel values to clip with min/max-clipping. (int; default: 1) [default=1].
-
kmos_std_star.param.
cmin
¶ The number of minimum pixel values to clip with min/max-clipping. (int; default: 1) [default=1].
The following code snippet shows the default settings for the available parameters.
import cpl
kmos_std_star = cpl.Recipe("kmos_std_star")
kmos_std_star.param.startype = ""
kmos_std_star.param.imethod = "CS"
kmos_std_star.param.fmethod = "gauss"
kmos_std_star.param.neighborhoodRange = 1.001
kmos_std_star.param.magnitude = ""
kmos_std_star.param.flux = True
kmos_std_star.param.save_cubes = False
kmos_std_star.param.no_noise = False
kmos_std_star.param.xcal_interpolation = True
kmos_std_star.param.suppress_extension = False
kmos_std_star.param.b_samples = 2048
kmos_std_star.param.mask_method = "optimal"
kmos_std_star.param.centre = "7.5,7.5"
kmos_std_star.param.radius = 3.0
kmos_std_star.param.cmethod = "ksigma"
kmos_std_star.param.cpos_rej = 3.0
kmos_std_star.param.cneg_rej = 3.0
kmos_std_star.param.citer = 3
kmos_std_star.param.cmax = 1
kmos_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
kmos_std_star = cpl.Recipe("kmos_std_star")
[...]
res = kmos_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, Y. Jung. Alternatively, you may send a report to the ESO User Support Department.
Copyright¶
This file is part of the CRIRES Instrument Pipeline Copyright (C) 2002,2003 European Southern Observatory
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Code author: Alex Agudo Berbel, Y. Jung <usd-help@eso.org>