The flames_obs_redchain recipe

flames_obs_redchain

Synopsis

Runs the full UVES-FIBRE reduction chain

Description

This recipe does a complete science reduction. It runs all necessary calibration recipes depending on the availability of raw/processed calibration frames.

Input frames are all UVES-FIBER raw and reference frames:

formatchecks, FIB_ARC_LAMP_FORM_RED, order definition frames, FIB_ORDER_FLAT_RED, biases, BIAS_RED, darks, DARK_RED, flats, SFLAT_RED, arc lamps, FIB_ARC_LAMP_RED, standard stars, FIB_STANDARD_RED a wavelength catalogue table,LINE_REFER_TABLE, and optionally a wavelength table of bright lines,LINE_INTMON_TABLE, used only for computing Quality Control parameters.

a reference standard star flux table, FLUX_STD_TABLE, a table describing the atmospheric extintion,EXTCOEFF_TABLE.

Optionally, science frames, SCIENCE_xxx, or UVES_SCI_POINT_xxx, or UVES_SCI_EXTND_xxx, or UVES_SCI_SLICER_xxx.

For further details on the data reduction and the input frame types refer to the man page of the individual recipes.

Constructor

cpl.Recipe("flames_obs_redchain")

Create an object for the recipe flames_obs_redchain.

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

Parameters

flames_obs_redchain.param.debug

Whether or not to save intermediate results to local directory (bool; default: False) [default=False].

flames_obs_redchain.param.flames_cal_orderpos.backsubdegx

Degree (in x) of polynomial used to estimate the background (mode=poly). (int; default: 2) [default=2].

flames_obs_redchain.param.flames_cal_orderpos.backsubdegy

Degree (in y) of polynomial used to estimate the background (mode=poly). (int; default: 2) [default=2].

flames_obs_redchain.param.flames_cal_orderpos.backsubgrid

Number of grid points (in x- and y-direction) used to estimate the background (mode=poly). (int; default: 50) [default=50].

flames_obs_redchain.param.flames_cal_orderpos.backsubkappa

The value of kappa in the one-sided kappa-sigma clipping used to estimate the background (mode=poly). (float; default: 4.0) [default=4.0].

flames_obs_redchain.param.flames_cal_orderpos.backsubradiusy

The height (in pixels) of the background sampling window is (2*radiusy + 1). This parameter is not corrected for binning. (int; default: 2) [default=2].

flames_obs_redchain.param.flames_cal_orderpos.defpol1

The degree of the bivarite fit (cross dispersion direction). If negative, the degree is optimized to give the best fit (int; default: -1) [default=-1].

flames_obs_redchain.param.flames_cal_orderpos.defpol2

The degree of the bivarite fit (order number). If negative, the degree is optimized to give the best fit (int; default: -1) [default=-1].

flames_obs_redchain.param.flames_cal_orderpos.kappa

Used for kappa-sigma clipping of the final polynomial fit. If negative, no clipping is done (float; default: 4.0) [default=4.0].

flames_obs_redchain.param.flames_cal_orderpos.maxgap

If the order line drops below detection threshold, the order tracing algorithm will try to jump a gap of maximum size ‘maxgap’ multiplied by the image width (float; default: 0.2) [default=0.2].

flames_obs_redchain.param.flames_cal_orderpos.maxrms

When fitting the orders with straight lines, this is the maximum allowed RMS relative to the median RMS of all orders (float; default: 100.0) [default=100.0].

flames_obs_redchain.param.flames_cal_orderpos.maxslope

Maximum possible line slope (float; default: 0.2) [default=0.2].

flames_obs_redchain.param.flames_cal_orderpos.minslope

Minimum possible line slope. This should be the ‘physical’ slope on the chip, i.e. not taking binning factors into account, which is handled by the recipe (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_orderpos.minthresh

The minimum threshold value is (min + minthres*(max - min)). Here ‘min’ and ‘max’ are the lowest and highest pixel values in the central bin of the order (float; default: 0.2) [default=0.2].

flames_obs_redchain.param.flames_cal_orderpos.mmethod

Background subtraction method. If equal to ‘median’ the background is sampled using the median of a sub-window. If ‘minimum’, the minimum sub-window value is used. If ‘no’, no background subtraction is done. (str; default: ‘median’) [default=”median”].

flames_obs_redchain.param.flames_cal_orderpos.pthres

In automatic mode, or if the number of orders to detect is read from a guess table, the detection of new lines stops when the intensity of a candidate line drops to less than ‘pthres’ times the intensity of the previous detection. (float; default: 0.2) [default=0.2].

flames_obs_redchain.param.flames_cal_orderpos.radx

Half X size of median filtering window (int; default: 2) [default=2].

flames_obs_redchain.param.flames_cal_orderpos.rady

Half Y size of median filtering window (int; default: 1) [default=1].

flames_obs_redchain.param.flames_cal_orderpos.samplewidth

Separation of sample traces (used by Hough transform) in input image (int; default: 50) [default=50].

flames_obs_redchain.param.flames_cal_orderpos.sloperes

Resolution (width in pixels) of Hough space (int; default: 120) [default=120].

flames_obs_redchain.param.flames_cal_orderpos.tracestep

The step size used when tracing the orders (int; default: 10) [default=10].

flames_obs_redchain.param.flames_cal_orderpos.use_guess_tab

If a Guess order table is provided this parameter set how it is used:0: No usage, 1: use it to set lower/upper Y raws where order are searched 2: the order table try to fully match the guess (int; default: 1) [default=1].

flames_obs_redchain.param.flames_cal_predict.ccd_rot_angle_off

Offset on CCD rotation angle (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_predict.cd_angle_off

Offset on cross disperser angle (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_predict.compute_regression_sw

Compute regression? (bool; default: True) [default=True].

flames_obs_redchain.param.flames_cal_predict.def_pol1

Polynomial X deg (int; default: 4) [default=4].

flames_obs_redchain.param.flames_cal_predict.def_pol2

Polynomial Y deg (int; default: 5) [default=5].

flames_obs_redchain.param.flames_cal_predict.ech_angle_off

Offset on echelle angle (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_predict.kappa

Kappa value in kappa sigma clipping on RESIDUAL between YFIT and Y columns (float; default: 4.5) [default=4.5].

flames_obs_redchain.param.flames_cal_predict.mbox_x

Match box X size (int; default: 40) [default=40].

flames_obs_redchain.param.flames_cal_predict.mbox_y

Match box Y size (int; default: 40) [default=40].

flames_obs_redchain.param.flames_cal_predict.tol

Tolerance in kappa sigma clipping on RESIDUAL between YFIT and Y columns (float; default: 2.0) [default=2.0].

flames_obs_redchain.param.flames_cal_predict.trans_x

Detector translation along X (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_predict.trans_y

Detector translation along Y (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.bias_method

Bias subtraction method, M for master bias frame, N for no bias subtraction, V to subtract a constant bias level defined by the parameter bias_value (str; default: ‘M’) [default=”M”].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.bias_value

Bias value (only if bias_method = V) (int; default: 200) [default=200].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.clean_tmp_products

Input data format (bool; default: False) [default=False].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.cubify

Cubify switch (bool; default: True) [default=True].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.ext_method

Extraction method (str; default: ‘opt’) [default=”opt”].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.fileprep

Slitff* and Fibreff* file preparation. If fast extraction method is used it should be set to FALSE (bool; default: True) [default=True].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.filter_switch

Filter switch (str; default: ‘none’) [default=”none”].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.sat_thr

Saturation threshold (int; default: 55000) [default=55000].

flames_obs_redchain.param.flames_cal_prep_sff_ofpos.save_flat_size

To be sure to use the flat part of a slit flatsone may need to subtract this bit. The default value -1, is used for automatic setting: if WCEN=520 save_flat_size=0, else save_flat_size=2. Values explicitly set by user overwrite this rule. (int; default: -1) [default=-1].

flames_obs_redchain.param.flames_cal_wavecal.alpha

The parameter that controls the distance to the nearest neighbours (float; default: 0.1) [default=0.1].

flames_obs_redchain.param.flames_cal_wavecal.degree

Degrees of the global 2d dispersion polynomial. If a negative number is specified, the polynomial degrees are automatically selected by starting from (1, 1) and inreasing the degrees as long as the RMS residual decreases significantly (int; default: 4) [default=4].

flames_obs_redchain.param.flames_cal_wavecal.extract.best

(optimal extraction only) If false (fastest), the spectrum is extracted only once. If true (best), the spectrum is extracted twice, the second time using improved variance estimates based on the first iteration. Better variance estimates slightly improve the obtained signal to noise but at the cost of increased execution time (bool; default: True) [default=True].

flames_obs_redchain.param.flames_cal_wavecal.extract.chunk

In optimal extraction mode, the chunk size (in pixels) used for fitting the analytical profile (a fit of the analytical profile to single bins would suffer from low statistics). (int; default: 32) [default=32].

flames_obs_redchain.param.flames_cal_wavecal.extract.kappa

In optimal extraction mode, this is the threshold for bad (i.e. hot/cold) pixel rejection. If a pixel deviates more than kappa*sigma (where sigma is the uncertainty of the pixel flux) from the inferred spatial profile, its weight is set to zero. Range: [-1,100]. If this parameter is negative, no rejection is performed. (float; default: 10.0) [default=10.0].

flames_obs_redchain.param.flames_cal_wavecal.extract.method

Extraction method. (2d/optimal not supported by uves_cal_wavecal, weighted supported only by uves_cal_wavecal, 2d not supported by uves_cal_response) (str; default: ‘average’) [default=”average”].

flames_obs_redchain.param.flames_cal_wavecal.extract.oversample

The oversampling factor used for the virtual resampling algorithm. If negative, the value 5 is used for S/N <=200, and the value 10 is used if the estimated S/N is > 200 (int; default: -1) [default=-1].

flames_obs_redchain.param.flames_cal_wavecal.extract.profile

In optimal extraction mode, the kind of profile to use. ‘gauss’ gives a Gaussian profile, ‘moffat’ gives a Moffat profile with beta=4 and a possible linear sky contribution. ‘virtual’ uses a virtual resampling algorithm (i.e. measures and uses the actual object profile). ‘constant’ assumes a constant spatial profile and allows optimal extraction of wavelength calibration frames. ‘auto’ will automatically select the best method based on the estimated S/N of the object. For low S/N, ‘moffat’ or ‘gauss’ are recommended (for robustness). For high S/N, ‘virtual’ is recommended (for accuracy). In the case of virtual resampling, a precise determination of the order positions is required; therefore the order-definition is repeated using the (assumed non-low S/N) science frame (str; default: ‘auto’) [default=”auto”].

flames_obs_redchain.param.flames_cal_wavecal.extract.skymethod

In optimal extraction mode, the sky subtraction method to use. ‘median’ estimates the sky as the median of pixels along the slit (ignoring pixels close to the object), whereas ‘optimal’ does a chi square minimization along the slit to obtain the best combined object and sky levels. The optimal method gives the most accurate sky determination but is also a bit slower than the median method (str; default: ‘optimal’) [default=”optimal”].

flames_obs_redchain.param.flames_cal_wavecal.kappa

Lines with residuals more then kappa stdev are rejected from the final fit (float; default: 4.0) [default=4.0].

flames_obs_redchain.param.flames_cal_wavecal.length

Length (in pixels) of each extraction window. This parameter is also equal to the seperation of adjacent window centers, causing the extraction windows to always be aligned. The parameter is automatically adjusted according to the binning of the input raw frame. If negative, the extraction window length is determined automatically to cover the full slit (float; default: 7.0) [default=7.0].

flames_obs_redchain.param.flames_cal_wavecal.maxerror

This parameter controls the graceful exit of the identification loop. If the RMS of the global fit exceeds this value (pix) the iteration stops (float; default: 20.0) [default=20.0].

flames_obs_redchain.param.flames_cal_wavecal.maxlines

Maximum number of lines to detect. If zero, the default value (1600 for BLUE/REDL chip; 1400 for REDU chip) is used. (int; default: 0) [default=0].

flames_obs_redchain.param.flames_cal_wavecal.minlines

Minimum number of lines to detect. If zero, the default value (1100 for BLUE/REDL chips; 1000 for REDU chip) is used. (int; default: 0) [default=0].

flames_obs_redchain.param.flames_cal_wavecal.nwindows

Number of extraction windows per trace. The windows will be aligned (i.e. no overlap and no spacing between adjacent windows). Unless an offset is specified, the middle window(s) is centered on the trace (int; default: 1) [default=1].

flames_obs_redchain.param.flames_cal_wavecal.offset

A global offset (in pixels) of all extraction windows (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_cal_wavecal.range

Width (pix) of search window is 2*range + 1. This parameter is automatically adjusted according to binning. (int; default: 8) [default=8].

flames_obs_redchain.param.flames_cal_wavecal.rebin.scale

Whether or not to multiply by the factor dx/dlambda (pixels per wavelength) during the rebinning to conserve the flux. This option is disabled as default because applying the flat field correction already ensures flux conservation. Therefore this parameter should be TRUE (for response and science data) only if reduce.ffmethd = no. (bool; default: False) [default=False].

flames_obs_redchain.param.flames_cal_wavecal.rebin.wavestep

The bin size used for BLUE/REDL data (in w.l.u.) in wavelength space. If negative, a step size of 2/3 * ( average pixel size ) is used. (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.flames_cal_wavecal.rebin.wavestep_redu

The bin size used for REDU data (in w.l.u.) in wavelength space. If negative, a step size of 2/3 * ( average pixel size ) is used. (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.flames_cal_wavecal.shiftmax

The maximum shift (pix) in either direction compared to guess solution. This parameter is automatically corrected for binning (float; default: 10.0) [default=10.0].

flames_obs_redchain.param.flames_cal_wavecal.shiftstep

The step size (pix) used when searching for the optimum shift. This parameter is automatically corrected for binning (float; default: 0.1) [default=0.1].

flames_obs_redchain.param.flames_cal_wavecal.shifttoler

Tolerance (pix) when matching shifted lines. This parameter is not adjusted according to binning (float; default: 0.05) [default=0.05].

flames_obs_redchain.param.flames_cal_wavecal.tolerance

Tolerance of fit. If positive, the tolerance is in pixel units. If negative, abs(tolerance) is in wavelength units. Lines with residuals worse than the tolerance are excluded from the final fit. Unlike in previous versions, this parameter is not corrected for CCD binning. This rejection based on the absolute residual in pixel can be effectively disabled by setting the tolerance to a very large number (e.g. 9999). In that case outliers will be rejected using only kappa sigma clipping. (float; default: 0.6) [default=0.6].

flames_obs_redchain.param.flames_obs_scired.bias_method

Bias subtraction method (str; default: ‘M’) [default=”M”].

flames_obs_redchain.param.flames_obs_scired.bias_value

Bias value (only if bias_method = V) (int; default: 200) [default=200].

flames_obs_redchain.param.flames_obs_scired.bkg_max_io_win

Background window number in each full inter order (int; default: 500) [default=500].

flames_obs_redchain.param.flames_obs_scired.bkg_xy_win_sz_x

x maximum size of each background window: (int; default: 6) [default=6].

flames_obs_redchain.param.flames_obs_scired.bkg_xy_win_sz_y

y maximum size of each background window: (int; default: 2) [default=2].

flames_obs_redchain.param.flames_obs_scired.clean_tmp_products

Input data format (bool; default: False) [default=False].

flames_obs_redchain.param.flames_obs_scired.cor_def_off

Correlation center offset? (float; default: 0.0) [default=0.0].

flames_obs_redchain.param.flames_obs_scired.cor_def_pnt

Correlation sampling points? (int; default: 25) [default=25].

flames_obs_redchain.param.flames_obs_scired.cor_def_rng

Correlation range size? (float; default: 6.0) [default=6.0].

flames_obs_redchain.param.flames_obs_scired.cor_max_fnd

Find correlation maximum? (str; default: ‘Y’) [default=”Y”].

flames_obs_redchain.param.flames_obs_scired.corvel_iter

Velocity correlation iteration number (SimCal) (int; default: 1) [default=1].

flames_obs_redchain.param.flames_obs_scired.cubify_sw

Cubify switch (str; default: ‘N’) [default=”N”].

flames_obs_redchain.param.flames_obs_scired.drs_base_name

Base name for science products (str; default: ‘fxb’) [default=”fxb”].

flames_obs_redchain.param.flames_obs_scired.drs_ext_w_siz

Integration window size good: 10 (if fibre deconvolution works fine) (float; default: 10.0) [default=10.0].

flames_obs_redchain.param.flames_obs_scired.drs_k_s_thre

Kappa sigma threshold (float; default: 10.0) [default=10.0].

flames_obs_redchain.param.flames_obs_scired.drs_maxyshift

Half width of the interval to scan for correlation, when determining y shift (float; default: 3.0) [default=3.0].

flames_obs_redchain.param.flames_obs_scired.ext_method

Extraction method (str; default: ‘opt’) [default=”opt”].

flames_obs_redchain.param.flames_obs_scired.filt_sw

Filter switch (str; default: ‘none’) [default=”none”].

flames_obs_redchain.param.flames_obs_scired.merge

Order merging method. If ‘optimal’, the flux in the overlapping region is set to the (optimally computed, using the uncertainties) average of single order spectra. If ‘sum’, the flux in the overlapping region is computed as the sum of the single order spectra. If flat-fielding is done, method ‘optimal’ is recommended, otherwise ‘sum’. (str; default: ‘optimal’) [default=”optimal”].

flames_obs_redchain.param.flames_obs_scired.merge_delt1

Order merging left hand (short wavelength) cut. To reduce the amount of order overlapping regions we allow to cut short and long wavelength ranges. This may reduce the ripple possibly introduced by the order merging. Suggested values are: 10 (W<=390), 12 (390<W<=437, 520<W<=564), 14 (437<W<=520, 564<W<860), 4 (W>=860) (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.flames_obs_scired.merge_delt2

Order merging right hand (long wavelength) cut. To reduce the amount of order overlapping regions we allow to cut short and long wavelength ranges. This may reduce the ripple possibly introduced by the order merging. Suggested values is 4 for W<860, else 0 (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.flames_obs_scired.pixel_thresh_max

Pixel saturation threshold max (int; default: 55000) [default=55000].

flames_obs_redchain.param.flames_obs_scired.pixel_thresh_min

Pixel saturation threshold min (int; default: -20) [default=-20].

flames_obs_redchain.param.flames_obs_scired.rebin.scale

Whether or not to multiply by the factor dx/dlambda (pixels per wavelength) during the rebinning to conserve the flux. This option is disabled as default because applying the flat field correction already ensures flux conservation. Therefore this parameter should be TRUE (for response and science data) only if reduce.ffmethd = no. (bool; default: False) [default=False].

flames_obs_redchain.param.flames_obs_scired.rebin.wavestep

The bin size used for BLUE/REDL data (in w.l.u.) in wavelength space. If negative, a step size of 2/3 * ( average pixel size ) is used. (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.flames_obs_scired.rebin.wavestep_redu

The bin size used for REDU data (in w.l.u.) in wavelength space. If negative, a step size of 2/3 * ( average pixel size ) is used. (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.plotter

Any plots produced by the recipe are redirected to the command specified by this parameter. The plotting command must contain the substring ‘gnuplot’ and must be able to parse gnuplot syntax on its standard input. Valid examples of such a command may include ‘gnuplot -persist’ and ‘cat > mygnuplot$$.gp’. A finer control of the plotting options can be obtained by writing an executable script, e.g. my_gnuplot.pl, that executes gnuplot after setting the desired gnuplot options (e.g. set terminal pslatex color). To turn off plotting, set this parameter to ‘no’ (str; default: ‘no’) [default=”no”].

flames_obs_redchain.param.process_chip

For RED arm data process the redl, redu, or both chip(s) (str; default: ‘both’) [default=”both”].

flames_obs_redchain.param.scired

Whether or not to do science reduction. If false, only master calibration frames are created. If false, either zero or all necessary calibration frames must be provided for each arm (bool; default: True) [default=True].

flames_obs_redchain.param.uves_cal_mbias.clean_traps

Clean detector traps. If TRUE detector traps are interpolated.The bad pixels are replaced by the average of thenearest good pixels in the same column, or simply marked as bad. The positions of bad pixels are hard-coded (as function of UVES chip). (bool; default: False) [default=False].

flames_obs_redchain.param.uves_cal_mbias.dc_mask_x

x-size (pixel) of the mask starting at (x,y) = (1,1) (int; default: 1) [default=1].

flames_obs_redchain.param.uves_cal_mbias.dc_mask_y

y-size (pixel) of the mask starting at (x,y) = (1,1) (int; default: 1) [default=1].

flames_obs_redchain.param.uves_cal_mbias.khigh

Kappa used to clip high level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

flames_obs_redchain.param.uves_cal_mbias.klow

Kappa used to clip low level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

flames_obs_redchain.param.uves_cal_mbias.niter

Number of kappa sigma iterations, when method is set to ‘mean’ (int; default: 5) [default=5].

flames_obs_redchain.param.uves_cal_mbias.pd_compute

Determine Fixed Pattern Noise. If TRUE the Fixed Patter Noise power spectrum is determined.(as function of UVES chip). (bool; default: False) [default=False].

flames_obs_redchain.param.uves_cal_mbias.stack_method

Method used to build master frame (str; default: ‘median’) [default=”median”].

flames_obs_redchain.param.uves_cal_mdark.khigh

Kappa used to clip high level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

flames_obs_redchain.param.uves_cal_mdark.khigh

Kappa used to clip high level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

flames_obs_redchain.param.uves_cal_mdark.klow

Kappa used to clip low level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

flames_obs_redchain.param.uves_cal_mdark.klow

Kappa used to clip low level values, when method is set to ‘mean’ (float; default: 5.0) [default=5.0].

flames_obs_redchain.param.uves_cal_mdark.niter

Number of kappa sigma iterations, when method is set to ‘mean’ (int; default: 5) [default=5].

flames_obs_redchain.param.uves_cal_mdark.niter

Number of kappa sigma iterations, when method is set to ‘mean’ (int; default: 5) [default=5].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.border_x

X distance between the left hand side of the detector and the left hand side of the region [pix] (int; default: 100) [default=100].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.border_y

X distance between the left hand side of the detector and the left hand side of the region [pix] (int; default: 100) [default=100].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.box_sx

Region X size [pix] (int; default: 100) [default=100].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.box_sy

Region Y size [pix] (int; default: 100) [default=100].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.num_x

Number of regions along the X axis (where mean/med/rms are computed). (int; default: 4) [default=4].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.num_y

Number of regions along the Y axis(where mean/med/rms are computed). (int; default: 4) [default=4].

flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.when

When QC analysis is performed. 0: on each raw frame or 1: on the master frame (int; default: 0) [default=0].

flames_obs_redchain.param.uves_cal_mdark.stack_method

Method used to build master frame (str; default: ‘median’) [default=”median”].

flames_obs_redchain.param.uves_cal_mdark.stack_method

Method used to build master frame (str; default: ‘median’) [default=”median”].

flames_obs_redchain.param.uves_cal_mflat.backsub.mmethod

Background measuring method. If equal to ‘median’ the background is sampled using the median of a subwindow. If ‘minimum’, the subwindow minimum value is used. If ‘no’, no background subtraction is done. (str; default: ‘median’) [default=”median”].

flames_obs_redchain.param.uves_cal_mflat.backsub.npoints

This is the number of columns in interorder space used to sample the background. (int; default: 82) [default=82].

flames_obs_redchain.param.uves_cal_mflat.backsub.radiusy

The height (in pixels) of the background sampling window is (2*radiusy + 1). This parameter is not corrected for binning. (int; default: 2) [default=2].

flames_obs_redchain.param.uves_cal_mflat.backsub.sdegree

Degree of interpolating splines. Currently only degree = 1 is supported (int; default: 1) [default=1].

flames_obs_redchain.param.uves_cal_mflat.backsub.smoothx

If spline interpolation is used to measure the background, the x-radius of the post-smoothing window is (smoothx * image_width). Here, ‘image_width’ is the image width after binning. If negative, the default values are used: (25.0/4096) for blue flat-field frames, (50.0/4096) for red flat-field frames, (300.0/4096) for blue science frames and (300.0/4096) for red science frames. (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.uves_cal_mflat.backsub.smoothy

If spline interpolation is used to measure the background, the y-radius of the post-smoothing window is (smoothy * image_height). Here, ‘image_height’ is the image height after binning. If negative, the default values are used: (100.0/2048) for blue flat-field frames, (300.0/2048) for red flat-field frames, (200.0/2048) for blue science frames and (500.0/2048) for red science frames. (float; default: -1.0) [default=-1.0].

flames_obs_redchain.param.uves_cal_mflat.norm_method

Method used to build master frame (str; default: ‘explevel’) [default=”explevel”].

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

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

flames_obs_redchain.param.debug = False
flames_obs_redchain.param.flames_cal_orderpos.backsubdegx = 2
flames_obs_redchain.param.flames_cal_orderpos.backsubdegy = 2
flames_obs_redchain.param.flames_cal_orderpos.backsubgrid = 50
flames_obs_redchain.param.flames_cal_orderpos.backsubkappa = 4.0
flames_obs_redchain.param.flames_cal_orderpos.backsubradiusy = 2
flames_obs_redchain.param.flames_cal_orderpos.defpol1 = -1
flames_obs_redchain.param.flames_cal_orderpos.defpol2 = -1
flames_obs_redchain.param.flames_cal_orderpos.kappa = 4.0
flames_obs_redchain.param.flames_cal_orderpos.maxgap = 0.2
flames_obs_redchain.param.flames_cal_orderpos.maxrms = 100.0
flames_obs_redchain.param.flames_cal_orderpos.maxslope = 0.2
flames_obs_redchain.param.flames_cal_orderpos.minslope = 0.0
flames_obs_redchain.param.flames_cal_orderpos.minthresh = 0.2
flames_obs_redchain.param.flames_cal_orderpos.mmethod = "median"
flames_obs_redchain.param.flames_cal_orderpos.pthres = 0.2
flames_obs_redchain.param.flames_cal_orderpos.radx = 2
flames_obs_redchain.param.flames_cal_orderpos.rady = 1
flames_obs_redchain.param.flames_cal_orderpos.samplewidth = 50
flames_obs_redchain.param.flames_cal_orderpos.sloperes = 120
flames_obs_redchain.param.flames_cal_orderpos.tracestep = 10
flames_obs_redchain.param.flames_cal_orderpos.use_guess_tab = 1
flames_obs_redchain.param.flames_cal_predict.ccd_rot_angle_off = 0.0
flames_obs_redchain.param.flames_cal_predict.cd_angle_off = 0.0
flames_obs_redchain.param.flames_cal_predict.compute_regression_sw = True
flames_obs_redchain.param.flames_cal_predict.def_pol1 = 4
flames_obs_redchain.param.flames_cal_predict.def_pol2 = 5
flames_obs_redchain.param.flames_cal_predict.ech_angle_off = 0.0
flames_obs_redchain.param.flames_cal_predict.kappa = 4.5
flames_obs_redchain.param.flames_cal_predict.mbox_x = 40
flames_obs_redchain.param.flames_cal_predict.mbox_y = 40
flames_obs_redchain.param.flames_cal_predict.tol = 2.0
flames_obs_redchain.param.flames_cal_predict.trans_x = 0.0
flames_obs_redchain.param.flames_cal_predict.trans_y = 0.0
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.bias_method = "M"
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.bias_value = 200
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.clean_tmp_products = False
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.cubify = True
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.ext_method = "opt"
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.fileprep = True
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.filter_switch = "none"
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.sat_thr = 55000
flames_obs_redchain.param.flames_cal_prep_sff_ofpos.save_flat_size = -1
flames_obs_redchain.param.flames_cal_wavecal.alpha = 0.1
flames_obs_redchain.param.flames_cal_wavecal.degree = 4
flames_obs_redchain.param.flames_cal_wavecal.extract.best = True
flames_obs_redchain.param.flames_cal_wavecal.extract.chunk = 32
flames_obs_redchain.param.flames_cal_wavecal.extract.kappa = 10.0
flames_obs_redchain.param.flames_cal_wavecal.extract.method = "average"
flames_obs_redchain.param.flames_cal_wavecal.extract.oversample = -1
flames_obs_redchain.param.flames_cal_wavecal.extract.profile = "auto"
flames_obs_redchain.param.flames_cal_wavecal.extract.skymethod = "optimal"
flames_obs_redchain.param.flames_cal_wavecal.kappa = 4.0
flames_obs_redchain.param.flames_cal_wavecal.length = 7.0
flames_obs_redchain.param.flames_cal_wavecal.maxerror = 20.0
flames_obs_redchain.param.flames_cal_wavecal.maxlines = 0
flames_obs_redchain.param.flames_cal_wavecal.minlines = 0
flames_obs_redchain.param.flames_cal_wavecal.nwindows = 1
flames_obs_redchain.param.flames_cal_wavecal.offset = 0.0
flames_obs_redchain.param.flames_cal_wavecal.range = 8
flames_obs_redchain.param.flames_cal_wavecal.rebin.scale = False
flames_obs_redchain.param.flames_cal_wavecal.rebin.wavestep = -1.0
flames_obs_redchain.param.flames_cal_wavecal.rebin.wavestep_redu = -1.0
flames_obs_redchain.param.flames_cal_wavecal.shiftmax = 10.0
flames_obs_redchain.param.flames_cal_wavecal.shiftstep = 0.1
flames_obs_redchain.param.flames_cal_wavecal.shifttoler = 0.05
flames_obs_redchain.param.flames_cal_wavecal.tolerance = 0.6
flames_obs_redchain.param.flames_obs_scired.bias_method = "M"
flames_obs_redchain.param.flames_obs_scired.bias_value = 200
flames_obs_redchain.param.flames_obs_scired.bkg_max_io_win = 500
flames_obs_redchain.param.flames_obs_scired.bkg_xy_win_sz_x = 6
flames_obs_redchain.param.flames_obs_scired.bkg_xy_win_sz_y = 2
flames_obs_redchain.param.flames_obs_scired.clean_tmp_products = False
flames_obs_redchain.param.flames_obs_scired.cor_def_off = 0.0
flames_obs_redchain.param.flames_obs_scired.cor_def_pnt = 25
flames_obs_redchain.param.flames_obs_scired.cor_def_rng = 6.0
flames_obs_redchain.param.flames_obs_scired.cor_max_fnd = "Y"
flames_obs_redchain.param.flames_obs_scired.corvel_iter = 1
flames_obs_redchain.param.flames_obs_scired.cubify_sw = "N"
flames_obs_redchain.param.flames_obs_scired.drs_base_name = "fxb"
flames_obs_redchain.param.flames_obs_scired.drs_ext_w_siz = 10.0
flames_obs_redchain.param.flames_obs_scired.drs_k_s_thre = 10.0
flames_obs_redchain.param.flames_obs_scired.drs_maxyshift = 3.0
flames_obs_redchain.param.flames_obs_scired.ext_method = "opt"
flames_obs_redchain.param.flames_obs_scired.filt_sw = "none"
flames_obs_redchain.param.flames_obs_scired.merge = "optimal"
flames_obs_redchain.param.flames_obs_scired.merge_delt1 = -1.0
flames_obs_redchain.param.flames_obs_scired.merge_delt2 = -1.0
flames_obs_redchain.param.flames_obs_scired.pixel_thresh_max = 55000
flames_obs_redchain.param.flames_obs_scired.pixel_thresh_min = -20
flames_obs_redchain.param.flames_obs_scired.rebin.scale = False
flames_obs_redchain.param.flames_obs_scired.rebin.wavestep = -1.0
flames_obs_redchain.param.flames_obs_scired.rebin.wavestep_redu = -1.0
flames_obs_redchain.param.plotter = "no"
flames_obs_redchain.param.process_chip = "both"
flames_obs_redchain.param.scired = True
flames_obs_redchain.param.uves_cal_mbias.clean_traps = False
flames_obs_redchain.param.uves_cal_mbias.dc_mask_x = 1
flames_obs_redchain.param.uves_cal_mbias.dc_mask_y = 1
flames_obs_redchain.param.uves_cal_mbias.khigh = 5.0
flames_obs_redchain.param.uves_cal_mbias.klow = 5.0
flames_obs_redchain.param.uves_cal_mbias.niter = 5
flames_obs_redchain.param.uves_cal_mbias.pd_compute = False
flames_obs_redchain.param.uves_cal_mbias.stack_method = "median"
flames_obs_redchain.param.uves_cal_mdark.khigh = 5.0
flames_obs_redchain.param.uves_cal_mdark.khigh = 5.0
flames_obs_redchain.param.uves_cal_mdark.klow = 5.0
flames_obs_redchain.param.uves_cal_mdark.klow = 5.0
flames_obs_redchain.param.uves_cal_mdark.niter = 5
flames_obs_redchain.param.uves_cal_mdark.niter = 5
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.border_x = 100
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.border_y = 100
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.box_sx = 100
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.box_sy = 100
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.num_x = 4
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.num_y = 4
flames_obs_redchain.param.uves_cal_mdark.qc_dark.reg.when = 0
flames_obs_redchain.param.uves_cal_mdark.stack_method = "median"
flames_obs_redchain.param.uves_cal_mdark.stack_method = "median"
flames_obs_redchain.param.uves_cal_mflat.backsub.mmethod = "median"
flames_obs_redchain.param.uves_cal_mflat.backsub.npoints = 82
flames_obs_redchain.param.uves_cal_mflat.backsub.radiusy = 2
flames_obs_redchain.param.uves_cal_mflat.backsub.sdegree = 1
flames_obs_redchain.param.uves_cal_mflat.backsub.smoothx = -1.0
flames_obs_redchain.param.uves_cal_mflat.backsub.smoothy = -1.0
flames_obs_redchain.param.uves_cal_mflat.norm_method = "explevel"

You may also set or overwrite some or all parameters by the recipe parameter param, as shown in the following example:

import cpl
flames_obs_redchain = cpl.Recipe("flames_obs_redchain")
[...]
res = flames_obs_redchain( ..., param = {"debug":False, "flames_cal_orderpos.backsubdegx":2})

See also

cpl.Recipe for more information about the recipe object.

Bug reports

Please report any problems to Jonas M. Larsen. Alternatively, you may send a report to the ESO User Support Department.