The sinfo_rec_distortion recipe
===============================================================

.. data:: sinfo_rec_distortion

Synopsis
--------

Finds optical distortions and slitlets distances

Description
-----------

This recipe determines the optical distortions and the slitlets distances.

Necessary input are:
Several (usually 75) raw frames classified as FIBRE_NS
Standard (an 'ON' and an 'OFF') flat frames having classified as FLAT_NS
Standard (an 'ON' and an 'OFF') arc lamp frames having classified as WAVE_NS
A corresponding (band) reference arc line list classified as REF_LINE_ARC
A reference table with data reduction parameters classified as DRS_SETUP_WAVE.

Default output are (with their PRO.CATG)
A master flat: MASTER_FLAT_LAMP
A Bad pixel map: BP_MAP_DI
A fake-off fibre stacked frame: FIBRE_NS_STACKED_OFF
A fake-on fibre  stacked frame: FIBRE_NS_STACKED_ON
A fake on-off fibre  stacked frame: FIBRE_NS_STACKED
A table with optical distortion coefficients: DISTORTION
A distortion corrected frame: FIBRE_NS_STACKED_DIST
A temporary frame: MASTER_SLIT
A table with the slitlets distances: SLITLETS_DISTANCE
Information on relevant parameters can be found with:
esorex --params sinfo_rec_distortion
esorex --help sinfo_rec_distortion


Constructor
-----------

.. method:: cpl.Recipe("sinfo_rec_distortion")
   :noindex:

   Create an object for the recipe sinfo_rec_distortion.

::

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

Parameters
----------

.. py:attribute:: sinfo_rec_distortion.param.gen_overpar

    Overwrite DRS ini parameters:  (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.lc_sw

    Correct for bad lines introduced by instrument software:  (bool;  default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.lc_kappa

    Kappa sigma value (long; default: 18) [default=18].
.. py:attribute:: sinfo_rec_distortion.param.lc_filt_rad

    Filtering radii applied during median filter. Should be small (long;  default: 3) [default=3].
.. py:attribute:: sinfo_rec_distortion.param.product_density

    Density of pipeline products: 0 (low), 1 (low+skycor), 2 (med-QC), 3  (high-debug+skycor) (long; default: 2) [default=2].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_lo_rej

    lower rejection: percentage of rejected low intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_hi_rej

    high rejection: percentage of rejected high intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_interpol_index

    Interpolation index switch: indicator if the bad pixels of the  flatfield should be interpolated (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_max_rad

    Max Rad: maximal pixel distance from bad pixel to take valid pixels  (long; default: 4) [default=4].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_bad_ind

    indicator if a bad pixel mask should be generated or not (bool;  default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_sigma_factor

    Sigma Factor: factor of the sigma noise limit; to remove the column  intensity tilt only pixels which lie within a defined noise limit are  used to fit a straight line (float; default: 5.0) [default=5.0].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_factor

    Factor: if |pixel - median| > factor * standard deviation -> then the  pixel value is replaced by the median of the 8 nearest neighbors  (float; default: 3.0) [default=3.0].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_iterations

    Iterations: number of iterations to of median filtering to find bad  pixel clusters (long; default: 8) [default=8].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_bad_lo_rej

    low rejection: Percentage for bad pixel low rejection (float; default:  10.0) [default=10.0].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_bad_hi_rej

    high rejection: Percentage for bad pixel high rejection (float;  default: 10.0) [default=10.0].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_llx

    Lower Lext X corner (long; default: 1350) [default=1350].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_lly

    Lower Lext Y corner (long; default: 1000) [default=1000].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_rrx

    Upper right X corner (long; default: 1390) [default=1390].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_ury

    Upper right Y corner (long; default: 1200) [default=1200].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_tresh_ind

    Treshold index:  (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_mean_factor

    Mean Factor: factor to the clean standard deviation to define the  threshold deviation from the clean mean (float; default: 10.0) [default=10.0].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmin1

    qc_fpn_xmin1 (long; default: 512) [default=512].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmax1

    qc_fpn_xmax1 (long; default: 1536) [default=1536].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymin1

    qc_fpn_ymin1 (long; default: 512) [default=512].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymax1

    qc_fpn_ymax1 (long; default: 1536) [default=1536].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmin2

    qc_fpn_xmin2 (long; default: 1350) [default=1350].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmax2

    qc_fpn_xmax2 (long; default: 1390) [default=1390].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymin2

    qc_fpn_ymin2 (long; default: 1000) [default=1000].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymax2

    qc_fpn_ymax2 (long; default: 1200) [default=1200].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_thresh_min

    qc_thresh_min (long; default: 0) [default=0].
.. py:attribute:: sinfo_rec_distortion.param.lamp_flats_qc_thresh_max

    qc_thresh_max (long; default: 49000) [default=49000].
.. py:attribute:: sinfo_rec_distortion.param.bp_method

    Data reduction method:  (str; default: 'Normal') [default="Normal"].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_s_factor

    Threshold Sigma Factor: to remove the column intensity tilt only  pixels which lie within a defined noiselimit are used to fit a  straight line (float; default: 2.0) [default=2.0].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_method_ind

    Bad pixel Method Index1: median of nearest neighbors,2: absolute  distances check, 3: mean of nearest spectral neighbors (long; default:  1) [default=1].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_fct

    Factor: if |pixel - sinfo_median| > factor * standard deviation ->  then the pixel value is replaced by the median of the 8 nearest  neighbors (float; default: 999.0) [default=999.0].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_it

    Iterations: number of iterations to of median filtering to find bad  pixel clusters (long; default: 8) [default=8].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_lo_rej

    low_rejection: percentage of rejected low intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_hi_rej

    high_rejection: percentage of rejected high intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_llx

    llx: to compute image statistics on a rectangularzone of the image the  coordinates of the rectangle are needed:lower left x coordinate (long;  default: 1350) [default=1350].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_lly

    lly: to compute image statistics on a rectangularzone of the image the  coordinates of the rectangle are needed:lower left y coordinate (long;  default: 1000) [default=1000].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_urx

    urx: to compute image statistics on a rectangularzone of the image the  coordinates of the rectangle are needed:upper right x coordinate  (long; default: 1390) [default=1390].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_ury

    ury: to compute image statistics on a rectangularzone of the image the  coordinates of the rectangle are needed:upper right y coordinate  (long; default: 1200) [default=1200].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_thr_ind

    Threshold Index: indicator that indicates if the values beyond a  threshold deviation from the mean are flagged as bad pixels (bool;  default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_mean_fct

    Mean Factor: factor to the clean standard deviation to define the  threshold deviation from the clean mean (float; default: 999.0) [default=999.0].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_min_cut

    the minimum value of real data (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.bp_dist_max_cut

    the minimum value of real data (float; default: 50000.0) [default=50000.0].
.. py:attribute:: sinfo_rec_distortion.param.stack_lo_rej

    lower rejection (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.stack_hi_rej

    higher rejection (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.stack_flat_ind

    Flat Index:  (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.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].
.. py:attribute:: sinfo_rec_distortion.param.stack_mflat_smooth_rad

    Normalization smoothing radii  (long; default: 16) [default=16].
.. py:attribute:: sinfo_rec_distortion.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].
.. py:attribute:: sinfo_rec_distortion.param.stack_ind_ind

    indicates if the bad pixels should be indicated (yes) or interpolated  (no) (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.stack_mask_rad

    Max distance bad-good pix:  (long; default: 4) [default=4].
.. py:attribute:: sinfo_rec_distortion.param.stack_gauss_ind

    Gaussian Convolution Switch:  (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.stack_khw

    Kernel Half Width (long; default: 2) [default=2].
.. py:attribute:: sinfo_rec_distortion.param.stack_warpfix_ind

    Warp Fix Index:  (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.stack_warpfix_kernel

    Warpfix kernel:  (str; default: 'tanh') [default="tanh"].
.. py:attribute:: sinfo_rec_distortion.param.stack_qc_thresh_min

    qc_thresh_min (long; default: 0) [default=0].
.. py:attribute:: sinfo_rec_distortion.param.stack_qc_thresh_max

    qc_thresh_max (long; default: 49000) [default=49000].
.. py:attribute:: sinfo_rec_distortion.param.stack_sub_raw_sky

    indicates if the raw sky frame should be subtracted (TRUE) or (FALSE)  (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.dist_calib_indicator

    Calib Indicator: FALSE: if the dispersion relation is already known,  the routine can jump to the waveMap section TRUE: if the dispersion  relation must first be determined (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.dist_min_diff_mean_med_col_int

    Minimum Of Difference: minimum difference of mean and median column  intensity to carry out the cross correlation (float; default: 10.0) [default=10.0].
.. py:attribute:: sinfo_rec_distortion.param.dist_hw

    Half Width: half width of a box within which the line must be placed  (long; default: 7) [default=7].
.. py:attribute:: sinfo_rec_distortion.param.dist_sigma

    Sigma: sigma of Gaussian which is convolved with the artificial  spectrum generated using the line list (float; default: 2.0) [default=2.0].
.. py:attribute:: sinfo_rec_distortion.param.dist_fwhm

    FWHM: initial guess value for the fwhm of the Gaussian used for the  line fit (float; default: 2.83) [default=2.83].
.. py:attribute:: sinfo_rec_distortion.param.dist_min_amplitude

    Minimum Of Amplitude: of the Gaussian to do the fit (float; default:  5.0) [default=5.0].
.. py:attribute:: sinfo_rec_distortion.param.dist_max_residual

    Maximum Residuals value: beyond this value the fit is rejected (float;  default: 0.5) [default=0.5].
.. py:attribute:: sinfo_rec_distortion.param.dist_n_a_coeffs

    Number of A coefficients: number of polynomial coefficients for the  dispersion relation (long; default: 4) [default=4].
.. py:attribute:: sinfo_rec_distortion.param.dist_n_b_coeffs

    Number of B coefficients: number of polynomial coefficients for the  polynomial fit of the dispersion coefficients (long; default: 2) [default=2].
.. py:attribute:: sinfo_rec_distortion.param.dist_sigma_factor

    Sigma Factor: Factor of the standard deviation of the polynomial  coefficients of the dispersion relation beyond which the coefficients  are not used for the fit (float; default: 1.5) [default=1.5].
.. py:attribute:: sinfo_rec_distortion.param.dist_wcoeff_ind

    Write Coefficients Index: indicates if the coefficients should be  written into a file or not (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.dist_par_ind

    Write Parameter Index: indicates if the fit parameters should be  written into a file or not  (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.dist_pixel_dist

    Minimal Slitlets's Distance in spectral direction (long; default: 15) [default=15].
.. py:attribute:: sinfo_rec_distortion.param.dist_pixel_tol

    Pixel Tolerance: allowed pixel position tolerance between estimated  and fitted line position (float; default: 5.0) [default=5.0].
.. py:attribute:: sinfo_rec_distortion.param.dist_wave_map_ind

    Wavelength Map Indicator: indicates if the wavelength calibration map  should be generated (TRUE) or not (FALSE) (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.dist_mag_factor

    Magnificator Factor: magnifying factor for the number of pixels in the  columns needed for FFT (long; default: 8) [default=8].
.. py:attribute:: sinfo_rec_distortion.param.dist_slit_pos_ind

    Slit Position Indicator: indicates if the fits of the slitlet edge  positions should be carried through or not (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.dist_fit_boltz_ind

    Fit Boltzmann Indicator: indicates if the fits of the slitlet edge  positions is carried trough by using a Boltzmann function as model  function (bool; default: True) [default=True].
.. py:attribute:: sinfo_rec_distortion.param.dist_fit_edge_ind

    Fit Edge Indicator: indicates if the fits of the slitlet edge  positions is carried through by using a simple edge function as model  function (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.dist_estimate_ind

    Estimate Indicator: indicates if the fits of the slitlet edge  positions is carried through by using a list of estimated guess  positions in a file (TRUE)or if the initial positions are calculated  automatically (FALSE). The estimation case is more stable (bool;  default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.dist_box_len

    Box Length: pixel length of the row box within which the fit is  carried out (long; default: 32) [default=32].
.. py:attribute:: sinfo_rec_distortion.param.dist_y_box

    Y Box: half width of a small box in spectral direction within which  the maximal intensity pixel is searched (float; default: 5.0) [default=5.0].
.. py:attribute:: sinfo_rec_distortion.param.dist_diff_toll

    Difference Tolearance: maximal tolerable difference of the resulting  fit positions of the slitlet edges with respect to the expected  positions (float; default: 2.0) [default=2.0].
.. py:attribute:: sinfo_rec_distortion.param.dist_qc_thresh_min

    qc_thresh_min (long; default: 0) [default=0].
.. py:attribute:: sinfo_rec_distortion.param.dist_qc_thresh_max

    qc_thresh_max (long; default: 49000) [default=49000].
.. py:attribute:: sinfo_rec_distortion.param.ns_lo_rejection

    lower rejection: percentage of rejected low intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.ns_hi_rejection

    higher rejection: percentage of rejected high intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.ns_mask_ind

    Mask Index: indicator if a bad pixel mask is applied or not (bool;  default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.ns_gauss_ind

    Gauss Index:  (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.ns_khw

    Kernel Half Width kernel half width of the Gaussian response function  (long; default: 2) [default=2].
.. py:attribute:: sinfo_rec_distortion.param.ns_hw

    Half Width (long; default: 4) [default=4].
.. py:attribute:: sinfo_rec_distortion.param.ns_fwhm

    FWHM (float; default: 2.0) [default=2.0].
.. py:attribute:: sinfo_rec_distortion.param.ns_min_diff

    Minimum of Difference (float; default: 1.0) [default=1.0].
.. py:attribute:: sinfo_rec_distortion.param.ns_dev_tol

    Dev Tol (float; default: 20.0) [default=20.0].
.. py:attribute:: sinfo_rec_distortion.param.arcs_thresh_factor

    arcs threshold factor. median_value(image)+ kappa*sigma is the minimum  intensity threshold of accepted imagepixels (float; default: 0.33333) [default=0.33333].
.. py:attribute:: sinfo_rec_distortion.param.arcs_min_arclen_factor

    factor which sets minimum arc length (1.0-2) (float; default: 1.19) [default=1.19].
.. py:attribute:: sinfo_rec_distortion.param.arcs_window_size

    Size of window for low pass fileter used inan horizzontal low pass  filter to remove unwanted arcs (5-64) (long; default: 14) [default=14].
.. py:attribute:: sinfo_rec_distortion.param.smooth_rad

    Size of smoothing factor (1-11) used to prevent for possible intensity  drops from detector electronics on fibre illuminated slitlets (1-11)  (long; default: 3) [default=3].
.. py:attribute:: sinfo_rec_distortion.param.ns_lo_rej

    lower rejection: percentage of rejected low intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.ns_hi_rej

    higher rejection: percentage of rejected high intensity pixels before  averaging (float; default: 0.1) [default=0.1].
.. py:attribute:: sinfo_rec_distortion.param.ns_mask_ind

    Mask Index: indicator if a bad pixel mask is applied or not (bool;  default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.ns_gauss_ind

    Gauss Index:  (bool; default: False) [default=False].
.. py:attribute:: sinfo_rec_distortion.param.ns_khw

    Kernel Half Width kernel half width of the Gaussian response function  (long; default: 2) [default=2].
.. py:attribute:: sinfo_rec_distortion.param.ns_hw

    Half Width (long; default: 4) [default=4].
.. py:attribute:: sinfo_rec_distortion.param.ns_fwhm

    FWHM (float; default: 2.0) [default=2.0].
.. py:attribute:: sinfo_rec_distortion.param.ns_min_diff

    Minimum of Difference (float; default: 1.0) [default=1.0].
.. py:attribute:: sinfo_rec_distortion.param.ns_dev_tol

    Dev Tol (float; default: 20.0) [default=20.0].


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

::

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

   sinfo_rec_distortion.param.gen_overpar = True
   sinfo_rec_distortion.param.lc_sw = False
   sinfo_rec_distortion.param.lc_kappa = 18
   sinfo_rec_distortion.param.lc_filt_rad = 3
   sinfo_rec_distortion.param.product_density = 2
   sinfo_rec_distortion.param.lamp_flats_lo_rej = 0.1
   sinfo_rec_distortion.param.lamp_flats_hi_rej = 0.1
   sinfo_rec_distortion.param.lamp_flats_interpol_index = False
   sinfo_rec_distortion.param.lamp_flats_max_rad = 4
   sinfo_rec_distortion.param.lamp_flats_bad_ind = False
   sinfo_rec_distortion.param.lamp_flats_sigma_factor = 5.0
   sinfo_rec_distortion.param.lamp_flats_factor = 3.0
   sinfo_rec_distortion.param.lamp_flats_iterations = 8
   sinfo_rec_distortion.param.lamp_flats_bad_lo_rej = 10.0
   sinfo_rec_distortion.param.lamp_flats_bad_hi_rej = 10.0
   sinfo_rec_distortion.param.lamp_flats_llx = 1350
   sinfo_rec_distortion.param.lamp_flats_lly = 1000
   sinfo_rec_distortion.param.lamp_flats_rrx = 1390
   sinfo_rec_distortion.param.lamp_flats_ury = 1200
   sinfo_rec_distortion.param.lamp_flats_tresh_ind = False
   sinfo_rec_distortion.param.lamp_flats_mean_factor = 10.0
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmin1 = 512
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmax1 = 1536
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymin1 = 512
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymax1 = 1536
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmin2 = 1350
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_xmax2 = 1390
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymin2 = 1000
   sinfo_rec_distortion.param.lamp_flats_qc_fpn_ymax2 = 1200
   sinfo_rec_distortion.param.lamp_flats_qc_thresh_min = 0
   sinfo_rec_distortion.param.lamp_flats_qc_thresh_max = 49000
   sinfo_rec_distortion.param.bp_method = "Normal"
   sinfo_rec_distortion.param.bp_dist_s_factor = 2.0
   sinfo_rec_distortion.param.bp_dist_method_ind = 1
   sinfo_rec_distortion.param.bp_dist_fct = 999.0
   sinfo_rec_distortion.param.bp_dist_it = 8
   sinfo_rec_distortion.param.bp_dist_lo_rej = 0.1
   sinfo_rec_distortion.param.bp_dist_hi_rej = 0.1
   sinfo_rec_distortion.param.bp_dist_llx = 1350
   sinfo_rec_distortion.param.bp_dist_lly = 1000
   sinfo_rec_distortion.param.bp_dist_urx = 1390
   sinfo_rec_distortion.param.bp_dist_ury = 1200
   sinfo_rec_distortion.param.bp_dist_thr_ind = True
   sinfo_rec_distortion.param.bp_dist_mean_fct = 999.0
   sinfo_rec_distortion.param.bp_dist_min_cut = 0.1
   sinfo_rec_distortion.param.bp_dist_max_cut = 50000.0
   sinfo_rec_distortion.param.stack_lo_rej = 0.1
   sinfo_rec_distortion.param.stack_hi_rej = 0.1
   sinfo_rec_distortion.param.stack_flat_ind = True
   sinfo_rec_distortion.param.stack_mflat_norm_smooth = 0
   sinfo_rec_distortion.param.stack_mflat_smooth_rad = 16
   sinfo_rec_distortion.param.stack_mask_ind = 1
   sinfo_rec_distortion.param.stack_ind_ind = False
   sinfo_rec_distortion.param.stack_mask_rad = 4
   sinfo_rec_distortion.param.stack_gauss_ind = False
   sinfo_rec_distortion.param.stack_khw = 2
   sinfo_rec_distortion.param.stack_warpfix_ind = True
   sinfo_rec_distortion.param.stack_warpfix_kernel = "tanh"
   sinfo_rec_distortion.param.stack_qc_thresh_min = 0
   sinfo_rec_distortion.param.stack_qc_thresh_max = 49000
   sinfo_rec_distortion.param.stack_sub_raw_sky = True
   sinfo_rec_distortion.param.dist_calib_indicator = True
   sinfo_rec_distortion.param.dist_min_diff_mean_med_col_int = 10.0
   sinfo_rec_distortion.param.dist_hw = 7
   sinfo_rec_distortion.param.dist_sigma = 2.0
   sinfo_rec_distortion.param.dist_fwhm = 2.83
   sinfo_rec_distortion.param.dist_min_amplitude = 5.0
   sinfo_rec_distortion.param.dist_max_residual = 0.5
   sinfo_rec_distortion.param.dist_n_a_coeffs = 4
   sinfo_rec_distortion.param.dist_n_b_coeffs = 2
   sinfo_rec_distortion.param.dist_sigma_factor = 1.5
   sinfo_rec_distortion.param.dist_wcoeff_ind = True
   sinfo_rec_distortion.param.dist_par_ind = True
   sinfo_rec_distortion.param.dist_pixel_dist = 15
   sinfo_rec_distortion.param.dist_pixel_tol = 5.0
   sinfo_rec_distortion.param.dist_wave_map_ind = False
   sinfo_rec_distortion.param.dist_mag_factor = 8
   sinfo_rec_distortion.param.dist_slit_pos_ind = True
   sinfo_rec_distortion.param.dist_fit_boltz_ind = True
   sinfo_rec_distortion.param.dist_fit_edge_ind = False
   sinfo_rec_distortion.param.dist_estimate_ind = False
   sinfo_rec_distortion.param.dist_box_len = 32
   sinfo_rec_distortion.param.dist_y_box = 5.0
   sinfo_rec_distortion.param.dist_diff_toll = 2.0
   sinfo_rec_distortion.param.dist_qc_thresh_min = 0
   sinfo_rec_distortion.param.dist_qc_thresh_max = 49000
   sinfo_rec_distortion.param.ns_lo_rejection = 0.1
   sinfo_rec_distortion.param.ns_hi_rejection = 0.1
   sinfo_rec_distortion.param.ns_mask_ind = False
   sinfo_rec_distortion.param.ns_gauss_ind = False
   sinfo_rec_distortion.param.ns_khw = 2
   sinfo_rec_distortion.param.ns_hw = 4
   sinfo_rec_distortion.param.ns_fwhm = 2.0
   sinfo_rec_distortion.param.ns_min_diff = 1.0
   sinfo_rec_distortion.param.ns_dev_tol = 20.0
   sinfo_rec_distortion.param.arcs_thresh_factor = 0.33333
   sinfo_rec_distortion.param.arcs_min_arclen_factor = 1.19
   sinfo_rec_distortion.param.arcs_window_size = 14
   sinfo_rec_distortion.param.smooth_rad = 3
   sinfo_rec_distortion.param.ns_lo_rej = 0.1
   sinfo_rec_distortion.param.ns_hi_rej = 0.1
   sinfo_rec_distortion.param.ns_mask_ind = False
   sinfo_rec_distortion.param.ns_gauss_ind = False
   sinfo_rec_distortion.param.ns_khw = 2
   sinfo_rec_distortion.param.ns_hw = 4
   sinfo_rec_distortion.param.ns_fwhm = 2.0
   sinfo_rec_distortion.param.ns_min_diff = 1.0
   sinfo_rec_distortion.param.ns_dev_tol = 20.0


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_distortion = cpl.Recipe("sinfo_rec_distortion")
   [...]
   res = sinfo_rec_distortion( ..., param = {"gen_overpar":True, "lc_sw":False})


.. seealso:: `cpl.Recipe <http://packages.python.org/python-cpl/recipe.html>`_
   for more information about the recipe object.

Bug reports
-----------

Please report any problems to `Andrea Modigliani <Andrea.Modigliani@eso.org>`_. Alternatively, you may 
send a report to the `ESO User Support Department <usd-help@eso.org>`_.

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

.. codeauthor:: Andrea Modigliani <Andrea.Modigliani@eso.org>
