The sinfo_rec_pupil recipe¶
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sinfo_rec_pupil
¶
Synopsis¶
Pupil data reduction
Description¶
This recipe performs science data reduction.
The input files are science object and sky frames with tags OBJECT_NODDING and SKY_NODDING Master calibration frames: A corresponding (band,preoptics) wavelength map image with tag WAVE_MAP A corresponding (band,preoptics) master flat field with tag MASTER_FLAT_LAMP A corresponding (band,preoptics) master bad pixel map with tag MASTER_BP_MAP A corresponding (band,preoptics) slitlets position frame with tag SLIT_POS A corresponding (band) distortion table with tag DISTORTION A corresponding (band) slitlet distance table with tag SLITLETS_DISTANCE The output is an image resulting from the IMA1 op IMA2 where op indicates A reference table with the position of the 1st column with tag FIRST_COLUMN Relevant outputs are: combined cubes (PRO.CATG=x_OBS x=STD,OBJ,PSF) reconstructed cube (PRO.CATG=COADD_x_OBS x=STD,OBJ,PSF) An average along Z of the reconstructed cube (PRO.CATG=MED_x_OBS x=STD,OBJ,PSF) The bad pixel map associated to the cube (PRO.CATG=BP_MAP_COADD_x_OBS x=STD,OBJ,PSF)
Constructor¶
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cpl.
Recipe
("sinfo_rec_pupil") Create an object for the recipe sinfo_rec_pupil.
import cpl
sinfo_rec_pupil = cpl.Recipe("sinfo_rec_pupil")
Parameters¶
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sinfo_rec_pupil.param.
product_density
¶ Density of pipeline products: 0 (low), 1 (low+skycor), 2 (med-QC), 3 (high-debug+skycor) (long; default: 2) [default=2].
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sinfo_rec_pupil.param.
stack_lo_rej
¶ lower rejection (float; default: 0.1) [default=0.1].
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sinfo_rec_pupil.param.
stack_hi_rej
¶ higher rejection (float; default: 0.1) [default=0.1].
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sinfo_rec_pupil.param.
stack_flat_ind
¶ Flat Index: (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
stack_mflat_norm_smooth
¶ Normalize master flat to its smoothed value (to remove lamp response curve). 0 (no smooth). 1 (apply fft filter along y).2 (apply running median filter along y). (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
stack_mflat_smooth_rad
¶ Normalization smoothing radii (long; default: 16) [default=16].
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sinfo_rec_pupil.param.
stack_mask_ind
¶ BP Mask Interpolation Switch: indicates if the bad pixel mask should be applied (1) or not (0) (long; default: 1) [default=1].
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sinfo_rec_pupil.param.
stack_ind_ind
¶ indicates if the bad pixels should be indicated (yes) or interpolated (no) (bool; default: False) [default=False].
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sinfo_rec_pupil.param.
stack_mask_rad
¶ Max distance bad-good pix: (long; default: 4) [default=4].
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sinfo_rec_pupil.param.
stack_gauss_ind
¶ Gaussian Convolution Switch: (bool; default: False) [default=False].
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sinfo_rec_pupil.param.
stack_khw
¶ Kernel Half Width (long; default: 2) [default=2].
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sinfo_rec_pupil.param.
stack_warpfix_ind
¶ Warp Fix Index: (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
stack_warpfix_kernel
¶ Warpfix kernel: (str; default: ‘tanh’) [default=”tanh”].
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sinfo_rec_pupil.param.
stack_qc_thresh_min
¶ qc_thresh_min (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
stack_qc_thresh_max
¶ qc_thresh_max (long; default: 49000) [default=49000].
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sinfo_rec_pupil.param.
stack_sub_raw_sky
¶ indicates if the raw sky frame should be subtracted (TRUE) or (FALSE) (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
objnod_aj_method
¶ Method to reduce autojitter template frames Raw frames are object only exposures. object-fake_sky pairs are generated. 0: no sky for all objects (long; default: 1) [default=1].
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sinfo_rec_pupil.param.
objnod_scales_sky
¶ Spatial median (sky) subtraction from cube: (If autojitter_method==1),indicates if the spatial median of each plane should be subtracted (TRUE) or not (FALSE) from each cube plane (bool; default: False) [default=False].
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sinfo_rec_pupil.param.
objnod_ks_clip
¶ Kappa-sigma clipping of coadded cube: indicates if a kappa-sigma clipping should be performed (TRUE) or not (FALSE) on each plane of the coadded cube (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
objnod_kappa
¶ kappa value for kappa-sigma clipping of coadded cube (float; default: 2.0) [default=2.0].
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sinfo_rec_pupil.param.
objnod_size_x
¶ Cube x size: x-pixel size of the final combined data cube,must lie between 64 and 128. If 0 it is computed automatically (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
objnod_size_y
¶ Cube y size: y-pixel size of the final combined data cube,must lie between 64 and 128.If 0 it is computed automatically (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
objnod_no_coeffs
¶ number of coefficients for the polynomial interpolation (long; default: 3) [default=3].
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sinfo_rec_pupil.param.
objnod_ns_ind
¶ Nord South Index Switch: indicates if the slitlet distances are determined by a north-south-test (TRUE) or slitlet edge fits (FALSE) (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
objnod_fine_tune_mtd
¶ Fine Tuning Method: indicator for the shifting method to use (P: polynomial interpolation, S: cubic spline interpolation) (str; default: ‘P’) [default=”P”].
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sinfo_rec_pupil.param.
objnod_order
¶ Fine Tuning polynomial order: order of the polynomial if the polynomial interpolation shifting method is used. (long; default: 2) [default=2].
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sinfo_rec_pupil.param.
objnod_lo_rej
¶ lower rejection: percentage of rejected low value pixels for averaging the sky spectra (float; default: 10.0) [default=10.0].
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sinfo_rec_pupil.param.
objnod_hi_rej
¶ higher rejection: percentage of rejected high value pixels for averaging the sky spectra (float; default: 10.0) [default=10.0].
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sinfo_rec_pupil.param.
objnod_tol
¶ Tolerance: pixel tolerance, this distance tolerance to the diagonal dividing line is not considered for the sky extraction to be sure to have a clean sky due to positioning tolerance and crossing through pixels (long; default: 2) [default=2].
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sinfo_rec_pupil.param.
objnod_jit_ind
¶ Jitter Index: jitter mode indicator: TRUE: Auto-Jitter, FALSE: user defined jitterThe size_x size_y kernel_type parameters are only used if jitterInd is set to yes, that means in auto-jittering mode! (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
objnod_kernel_typ
¶ Kernel Type:the name of the interpolation kernel to shift the single cubes to the correct places inside the big combined cube (str; default: ‘tanh’) [default=”tanh”].
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sinfo_rec_pupil.param.
objnod_vllx
¶ Vignetting on llx: pixels vignetted from lower left corner X coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
objnod_vlly
¶ Vignetting on lly: pixels vignetted from lower left corner Y coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
objnod_vurx
¶ Vignetting on urx: pixels vignetted from upper right corner X coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
objnod_vury
¶ Vignetting on ury: pixels vignetted from upper right corner Y coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
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sinfo_rec_pupil.param.
objnod_fcol
¶ First column offset: (float; default: 0.0) [default=0.0].
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sinfo_rec_pupil.param.
objnod_sky_cor
¶ Sky residuals correction: (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
objnod_flux_cor
¶ Apply flux correction after rebinning: (bool; default: True) [default=True].
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sinfo_rec_pupil.param.
objnod_mosaic_max_size
¶ Maximum allowed size for cubes mosaic is 100*mosaic_max_size (long; default: 14196) [default=14196].
The following code snippet shows the default settings for the available parameters.
import cpl
sinfo_rec_pupil = cpl.Recipe("sinfo_rec_pupil")
sinfo_rec_pupil.param.product_density = 2
sinfo_rec_pupil.param.stack_lo_rej = 0.1
sinfo_rec_pupil.param.stack_hi_rej = 0.1
sinfo_rec_pupil.param.stack_flat_ind = True
sinfo_rec_pupil.param.stack_mflat_norm_smooth = 0
sinfo_rec_pupil.param.stack_mflat_smooth_rad = 16
sinfo_rec_pupil.param.stack_mask_ind = 1
sinfo_rec_pupil.param.stack_ind_ind = False
sinfo_rec_pupil.param.stack_mask_rad = 4
sinfo_rec_pupil.param.stack_gauss_ind = False
sinfo_rec_pupil.param.stack_khw = 2
sinfo_rec_pupil.param.stack_warpfix_ind = True
sinfo_rec_pupil.param.stack_warpfix_kernel = "tanh"
sinfo_rec_pupil.param.stack_qc_thresh_min = 0
sinfo_rec_pupil.param.stack_qc_thresh_max = 49000
sinfo_rec_pupil.param.stack_sub_raw_sky = True
sinfo_rec_pupil.param.objnod_aj_method = 1
sinfo_rec_pupil.param.objnod_scales_sky = False
sinfo_rec_pupil.param.objnod_ks_clip = True
sinfo_rec_pupil.param.objnod_kappa = 2.0
sinfo_rec_pupil.param.objnod_size_x = 0
sinfo_rec_pupil.param.objnod_size_y = 0
sinfo_rec_pupil.param.objnod_no_coeffs = 3
sinfo_rec_pupil.param.objnod_ns_ind = True
sinfo_rec_pupil.param.objnod_fine_tune_mtd = "P"
sinfo_rec_pupil.param.objnod_order = 2
sinfo_rec_pupil.param.objnod_lo_rej = 10.0
sinfo_rec_pupil.param.objnod_hi_rej = 10.0
sinfo_rec_pupil.param.objnod_tol = 2
sinfo_rec_pupil.param.objnod_jit_ind = True
sinfo_rec_pupil.param.objnod_kernel_typ = "tanh"
sinfo_rec_pupil.param.objnod_vllx = 0
sinfo_rec_pupil.param.objnod_vlly = 0
sinfo_rec_pupil.param.objnod_vurx = 0
sinfo_rec_pupil.param.objnod_vury = 0
sinfo_rec_pupil.param.objnod_fcol = 0.0
sinfo_rec_pupil.param.objnod_sky_cor = True
sinfo_rec_pupil.param.objnod_flux_cor = True
sinfo_rec_pupil.param.objnod_mosaic_max_size = 14196
You may also set or overwrite some or all parameters by the recipe parameter param, as shown in the following example:
import cpl
sinfo_rec_pupil = cpl.Recipe("sinfo_rec_pupil")
[...]
res = sinfo_rec_pupil( ..., param = {"product_density":2, "stack_lo_rej":0.1})
See also
cpl.Recipe for more information about the recipe object.
Bug reports¶
Please report any problems to Andrea Modigliani. Alternatively, you may send a report to the ESO User Support Department.
Copyright¶
This file is part of the SINFONI 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: Andrea Modigliani <Andrea.Modigliani@eso.org>