Pupil data reduction
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) Information on relevant parameters can be found with esorex –params sinfo_rec_pupil esorex –help sinfo_rec_pupil
Create an object for the recipe sinfo_rec_pupil.
import cpl
sinfo_rec_pupil = cpl.Recipe("sinfo_rec_pupil")
Density of pipeline products: 0 (low), 1 (low+skycor), 2 (med-QC), 3 (high-debug+skycor) (long; default: 2) [default=2].
lower rejection (float; default: 0.1) [default=0.1].
higher rejection (float; default: 0.1) [default=0.1].
Flat Index: (bool; default: True) [default=True].
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].
Normalization smoothing radii (long; default: 16) [default=16].
BP Mask Interpolation Switch: indicates if the bad pixel mask should be applied (1) or not (0) (long; default: 1) [default=1].
indicates if the bad pixels should be indicated (yes) or interpolated (no) (bool; default: False) [default=False].
Max distance bad-good pix: (long; default: 4) [default=4].
Gaussian Convolution Switch: (bool; default: False) [default=False].
Kernel Half Width (long; default: 2) [default=2].
Warp Fix Index: (bool; default: True) [default=True].
Warpfix kernel: (str; default: ‘tanh’) [default=”tanh”].
qc_thresh_min (long; default: 0) [default=0].
qc_thresh_max (long; default: 49000) [default=49000].
indicates if the raw sky frame should be subtracted (TRUE) or (FALSE) (bool; default: True) [default=True].
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].
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].
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].
kappa value for kappa-sigma clipping of coadded cube (float; default: 2.0) [default=2.0].
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].
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].
number of coefficients for the polynomial interpolation (long; default: 3) [default=3].
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].
Fine Tuning Method: indicator for the shifting method to use (P: polynomial interpolation, S: cubic spline interpolation) (str; default: ‘P’) [default=”P”].
Fine Tuning polynomial order: order of the polynomial if the polynomial interpolation shifting method is used. (long; default: 2) [default=2].
lower rejection: percentage of rejected low value pixels for averaging the sky spectra (float; default: 10.0) [default=10.0].
higher rejection: percentage of rejected high value pixels for averaging the sky spectra (float; default: 10.0) [default=10.0].
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].
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].
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”].
Vignetting on llx: pixels vignetted from lower left corner X coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
Vignetting on lly: pixels vignetted from lower left corner Y coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
Vignetting on urx: pixels vignetted from upper right corner X coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
Vignetting on ury: pixels vignetted from upper right corner Y coordinate of contributing cubes before coaddition (long; default: 0) [default=0].
First column offset: (float; default: 0.0) [default=0.0].
Sky residuals correction: (bool; default: True) [default=True].
Apply flux correction after rebinning: (bool; default: True) [default=True].
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.
Please report any problems to Andrea Modigliani. Alternatively, you may send a report to the ESO User Support Department.
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>