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+.help odcombine Apr04 onedspec
+.ih
+NAME
+odcombine -- Combine spectra using various algorithms
+.ih
+USAGE
+odcombine input output
+.ih
+PARAMETERS
+.ls input
+List of input images containing spectra to be combined. The spectra
+in the images to be combined are selected with the \fIapertures\fR and
+\fIgroup\fR parameters. Only the primary spectrum is combined and
+the associated band spectra are ignored. This task does not work on
+higher dimensional spectra data. To apply it first use a task to
+extract it to 1D spectra. The simplest method is \fBscopy\fR.
+.le
+.ls output
+List of output images to be created containing the combined spectra. If
+the grouping option is "all" then only one output image is created with the
+specified name. If the grouping option is "images" then there will be one
+output image for each input image and the output list must match the input
+list in number. If the grouping option is "apertures" then only one output
+root name is specified and there will be one output image for each selected
+aperture. In this case the output images will have a name formed from the
+root name and a four digit aperture number extension. In all cases the
+output images contain a single 1D spectrum. Other tasks, such as
+\fBscopy\fR, may be used to pack the spectra into a single file.
+.le
+
+
+There are a number of additional optional output files that may be produced.
+The lists are handled in the same was as for the primary output; i.e.
+depending on the grouping a single name, root name, or a matching list
+is specified.
+.ls headers = "" (optional)
+Optional output multiextension FITS file(s). The extensions are dataless
+headers from each input image.
+.le
+.ls bpmasks = "" (optional)
+Optional output bad pixel mask(s) with good values of 0 and bad values of
+1. Output pixels are marked as bad when no input pixels contributed to the
+output pixel. The file name is also added to the output image header under
+the keyword BPM.
+.le
+.ls rejmask = "" (optional)
+Optional output mask file(s) identifying rejected or excluded pixels. The
+pixel mask is the size of the output image but there is one extra dimension
+with length equal to the number of input images. Each element of the
+highest dimension is a mask corresponding to an input image with values of
+1 for rejected or excluded pixels and values of 0 for pixels which were
+used. The order of the masks is the order of the input images and image
+header keywords, indexed by the pixel coordinate of the highest dimension
+identify the input images. Note that the pixel positions are in the output
+pixel coordinate system.
+.le
+.ls nrejmasks = "" (optional)
+Optional output pixel mask(s) giving the number of input pixels rejected or
+excluded from the input images.
+.le
+.ls expmasks = "" (optional)
+Optional output exposure mask(s) giving the sum of the exposure values of
+the input images with non-zero weights that contributed to that pixel.
+Since masks are integer, the exposure values may be scaled to preserve
+dynamic range and fractional significance. The scaling values are given in
+the header under the keywords MASKSCAL and MASKZERO. Exposure values are
+computed from the mask values by scale * value + zero where scale is the
+value of the MASKSCAL keyword and zero is the value of the MASKZERO
+keyword.
+.le
+.ls sigma = "" (optional)
+Optional output sigma image(s). The sigma is the standard deviation,
+corrected for a finite population, of the input pixel values (excluding
+rejected pixels) about the output combined pixel values.
+.le
+.ls logfile = "STDOUT" (optional)
+Optional output log file. If no file is specified then no log information is
+produced. The special filename "STDOUT" prints log information to the
+terminal.
+.le
+
+
+.ce
+Grouping Parameters
+.ls apertures = ""
+List of apertures to be selected for combining. If none is specified
+then all apertures are selected. The syntax is a blank or comma separated
+list of aperture numbers or hypen separated aperture ranges.
+.le
+.ls group = "apertures" (all|images|apertures)
+Option for grouping input spectra for combining (after selection by aperture)
+from one or more input images. The options are:
+.ls "all"
+Combine all spectra from all images in the input list into a single output
+spectrum.
+.le
+.ls "images"
+Combine all spectra in each input image into a single spectrum in
+separate output images.
+.le
+.ls "apertures"
+Combine all spectra of the same aperture from all input images and put it
+into an output image with specified root name and a four digit aperture
+number extension.
+.le
+.le
+
+
+.ce
+Dispersion Matching Parameters
+.ls first = no
+Use the first input spectrum of each set to be combined to define the
+dispersion coordinates for combining and output? If yes then all other
+spectra to be combined will be interpolated to the dispersion of this
+spectrum and that dispersion defines the dispersion of the
+output spectrum. If no, then all the spectra are interpolated to a linear
+dispersion as determined by the following parameters. The interpolation
+type is set by the package parameter \fIinterp\fR.
+.le
+.ls w1 = INDEF, w2=INDEF, dw = INDEF, nw = INDEF, log = no
+The output linear or log linear wavelength scale if the dispersion of the
+first spectrum is not used. INDEF values are filled in from the maximum
+wavelength range and minimum dispersion of the spectra to be combined. The
+parameters are aways specified in linear wavelength even when the log
+parameter is set to produce constant pixel increments in the log of the
+wavelength. The dispersion is interpreted in that case as the difference
+in the log of the endpoints divided by the number of pixel.
+.le
+
+
+.ce
+Combining Parameters
+.ls combine = "average" (average|median|sum)
+Type of combining operation performed on the final set of pixels (after
+offsetting, masking, thresholding, and rejection). The choices are
+"average", "median", or "sum". The median uses the average of the two central
+values when the number of pixels is even. For the average and sum, the
+pixel values are multiplied by the weights (1 if no weighting is used)
+and summed. The average is computed by dividing by the sum of the weights.
+If the sum of the weights is zero then the unweighted average is used.
+.le
+.ls reject = "none" (none|minmax|ccdclip|crreject|sigclip|avsigclip|pclip)
+Type of rejection operation performed on the pixels remaining after offsetting,
+masking and thresholding. The algorithms are described in the
+help page for \fBimcombine\fR. The rejection choices are:
+
+.nf
+ none - No rejection
+ minmax - Reject the nlow and nhigh pixels
+ ccdclip - Reject pixels using CCD noise parameters
+ crreject - Reject only positive pixels using CCD noise parameters
+ sigclip - Reject pixels using a sigma clipping algorithm
+ avsigclip - Reject pixels using an averaged sigma clipping algorithm
+ pclip - Reject pixels using sigma based on percentiles
+.fi
+
+.le
+.ls outtype = "real" (none|short|ushort|integer|long|real|double)
+Output image pixel datatype. The pixel datatypes are "double", "real",
+"long", "integer", unsigned short "ushort", and "short" with highest
+precedence first. If "none" is specified then the highest precedence
+datatype of the input images is used. When there is a mixture of
+short and unsigned short images the highest precedence become integer.
+The datatypes may be abbreviated to a single character.
+.le
+.ls outlimits = ""
+Output region limits specified as a pair of whitespace separated pixel
+values.
+.le
+
+
+.ce
+Masking Parameters
+.ls smaskformat = "bpmspectrum" (bpmspectrum|bpmpixel)
+When a mask is applied it must be matched to the input spectrum. If the
+value of this parameter is "bpmspectrum" the mask file is assumed to have a
+spectral file structure with aperture and dispersion information. The mask
+spectrum is matched to the input spectrum by aperture number and is
+rebinned from its dispersion to match the rebinned dispersion of the input
+spectrum. If the value is "bpmpixel" the mask file is assumed to have
+minimal header information and the pixel information is matched to the
+input image pixels. This means the mask pixels are extracted from the same
+line as the input spectrum and the mask pixels are resampled in the same
+way as the input spectrum pixels.
+.le
+.ls smasktype = "none" (none|goodvalue|badvalue|goodbits|badbit)
+Type of pixel masking to use. If "none" or "" then no pixel masking is
+done even if an image has an associated pixel mask. The other choices are
+to select the value in the pixel mask to be treated as good (goodvalue) or
+bad (badvalue) or the bits (specified as a value) to be treated as good
+(goodbits) or bad (badbits). The pixel mask filename is specified by the
+image header keyword "BPM". Note that if the input image contains
+multiple spectra then the mask file must also contain at least the
+selected apertures if the mask format is "bpmspectrum" or matching
+image dimensions if the mask format is "bpmpixel".
+.le
+.ls maskvalue = 0
+Mask value used with the \fImasktype\fR parameter. If the mask type
+selects good or bad bits the value may be specified using IRAF notation
+for decimal, octal, or hexadecimal; i.e 12, 14b, 0cx to select bits 3
+and 4.
+.le
+.ls blank = 0.
+Output value to be used when there are no pixels.
+.le
+
+
+.ce
+Scaling/Weighting Parameters
+
+The following scaling and weighting parameters have the following behavior
+and constraints, which are particularly relevant to multispec formats where
+multiple spectra are contained in an image with a single image header.
+When using image statistics these are calculated from the rebinned spectra
+being combined as expected. When using header keywords the values will be
+the same for all spectra from the same input file.
+
+When using a file then the list will be applied repeatedly to each
+group being combined. If the grouping is by aperture then the values will
+be matched in the order of the input images. Note that if an image does
+not contain a specified aperture the ordering will be wrong. If the
+grouping is by image then the file will be matched to the spectra in the
+order of the apertures in the image. And if the grouping is "all" then the
+list is matched in the order of the images and apertures within the
+images with the apertures in an image varying first.
+
+.ls scale = "none" (none|mode|median|mean|exposure|@<file>|!<keyword>)
+Multiplicative image scaling to be applied. The choices are none, multiply
+by the reciprocal of the mode, median, or mean of the specified statistics
+section, multiply by the reciprocal of the exposure time in the image header,
+multiply by the values in a specified file, or multiply by a specified
+image header keyword. When specified in a file the scales must be one per
+line in the order of the input images.
+.le
+.ls zero = "none" (none|mode|median|mean|@<file>|!<keyword>)
+Additive zero level image shifts to be applied. The choices are none, add
+the negative of the mode, median, or mean of the specified statistics
+section, add the values given in a file, or add the values given by an
+image header keyword. When specified in a file the zero values must be one
+per line in the order of the input images. File or keyword zero offset
+values do not allow a correction to the weights.
+.le
+.ls weight = "none" (none|mode|median|mean|exposure|@<file>|!<keyword>)
+Weights to be applied during the final averaging. The choices are none,
+the mode, median, or mean of the specified statistics section, the exposure
+time, values given in a file, or values given by an image header keyword.
+When specified in a file the weights must be one per line in the order of
+the input images and the only adjustment made by the task is for the number of
+images previously combined. In this case the weights should be those
+appropriate for the scaled images which would normally be the inverse
+of the variance in the scaled image.
+.le
+.ls statsec = ""
+Section of images to use in computing image statistics for scaling and
+weighting. If no section is given then the entire region of the input is
+sampled (for efficiency the images are sampled if they are big enough).
+When the images are offset relative to each other one can precede the image
+section with one of the modifiers "input", "output", "overlap". The first
+interprets the section relative to the input image (which is equivalent to
+not specifying a modifier), the second interprets the section relative to
+the output image, and the last selects the common overlap and any following
+section is ignored.
+.le
+.ls expname = ""
+Image header keyword to be used with the exposure scaling and weighting
+options. Also if an exposure keyword is specified that keyword will be
+added to the output image using a weighted average of the input exposure
+values.
+.le
+
+
+.ce
+Algorithm Parameters
+.ls lthreshold = INDEF, hthreshold = INDEF
+Low and high thresholds to be applied to the input pixels. This is done
+before any scaling, rejection, and combining. If INDEF the thresholds
+are not used.
+.le
+.ls nlow = 1, nhigh = 1 (minmax)
+The number of low and high pixels to be rejected by the "minmax" algorithm.
+These numbers are converted to fractions of the total number of input images
+so that if no rejections have taken place the specified number of pixels
+are rejected while if pixels have been rejected by masking, thresholding,
+or nonoverlap, then the fraction of the remaining pixels, truncated
+to an integer, is used.
+.le
+.ls nkeep = 1
+The minimum number of pixels to retain or the maximum number to reject
+when using the clipping algorithms (ccdclip, crreject, sigclip,
+avsigclip, or pclip). When given as a positive value this is the minimum
+number to keep. When given as a negative value the absolute value is
+the maximum number to reject. The latter is in addition to pixels
+missing due to non-overlapping offsets, bad pixel masks, or thresholds.
+.le
+.ls mclip = yes (ccdclip, crreject, sigclip, avsigcliip)
+Use the median as the estimate for the true intensity rather than the
+average with high and low values excluded in the "ccdclip", "crreject",
+"sigclip", and "avsigclip" algorithms? The median is a better estimator
+in the presence of data which one wants to reject than the average.
+However, computing the median is slower than the average.
+.le
+.ls lsigma = 3., hsigma = 3. (ccdclip, crreject, sigclip, avsigclip, pclip)
+Low and high sigma clipping factors for the "ccdclip", "crreject", "sigclip",
+"avsigclip", and "pclip" algorithms. They multiply a "sigma" factor
+produced by the algorithm to select a point below and above the average or
+median value for rejecting pixels. The lower sigma is ignored for the
+"crreject" algorithm.
+.le
+.ls rdnoise = "0.", gain = "1.", snoise = "0." (ccdclip, crreject)
+CCD readout noise in electrons, gain in electrons/DN, and sensitivity noise
+as a fraction. These parameters are used with the "ccdclip" and "crreject"
+algorithms. The values may be either numeric or an image header keyword
+which contains the value. The noise model for a pixel is:
+
+.nf
+ variance in DN = (rdnoise/gain)^2 + DN/gain + (snoise*DN)^2
+ variance in e- = (rdnoise)^2 + (gain*DN) + (snoise*(gain*DN))^2
+ = rdnoise^2 + Ne + (snoise * Ne)^2
+.fi
+
+where DN is the data number and Ne is the number of electrons. Sensitivity
+noise typically comes from noise introduced during flat fielding.
+.le
+.ls sigscale = 0.1 (ccdclip, crreject, sigclip, avsigclip)
+This parameter determines when poisson corrections are made to the
+computation of a sigma for images with different scale factors. If all
+relative scales are within this value of unity and all relative zero level
+offsets are within this fraction of the mean then no correction is made.
+The idea is that if the images are all similarly though not identically
+scaled, the extra computations involved in making poisson corrections for
+variations in the sigmas can be skipped. A value of zero will apply the
+corrections except in the case of equal images and a large value can be
+used if the sigmas of pixels in the images are independent of scale and
+zero level.
+.le
+.ls pclip = -0.5 (pclip)
+Percentile clipping algorithm parameter. If greater than
+one in absolute value then it specifies a number of pixels above or
+below the median to use for computing the clipping sigma. If less
+than one in absolute value then it specifies the fraction of the pixels
+above or below the median to use. A positive value selects a point
+above the median and a negative value selects a point below the median.
+The default of -0.5 selects approximately the quartile point.
+See the DESCRIPTION section for further details.
+.le
+.ls grow = 0.
+Radius in pixels for additional pixel to be rejected in an image with a
+rejected pixel from one of the rejection algorithms. This applies only to
+pixels rejected by one of the rejection algorithms and not the masked or
+threshold rejected pixels.
+.le
+
+The following parameters are internal to the task and not user parameters:
+
+.nf
+ offsets, masktype, maskvalue
+.fi
+
+.ce
+Environment Variables
+
+.ls <package>.interp
+When the spectra have to be interpolated to a common pixel sampling
+the "interp" parameter from the package from which ODCOMBINE is used
+will be used.
+.le
+.ih
+DESCRIPTION
+\fBOdcombine\fR combines input spectra by interpolating them (if necessary)
+to a common dispersion sampling, rejecting pixels exceeding specified low
+and high thresholds or identified as bad in a bad pixel mask, scaling them
+in various ways, applying a rejection algorithm based on known or empirical
+noise statistics, and computing the sum, weighted average, or median of the
+remaining pixels. Note that the "sum" option is the direct summation of
+the pixels and does not perform any rejection or scaling of the data
+regardless of the parameter settings.
+
+The input spectra are specified using an image list in which each image
+may contain multiple spectra. The set of spectra may be restricted
+by the \fIaperture\fR parameter to specific apertures. The set of input
+spectra may then be grouped using the \fIgroup\fR parameter and each
+group combined separately into final output spectra. The grouping
+options are to select all the input spectra regardless of the input
+image or aperture number, select all spectra of the same aperture,
+or select all the spectra from the same input image.
+
+The output consists of one image for each combined group. The output
+images and combined spectra inherit the header parameters from the first
+spectrum in the combined group. There are a number of additional optional
+outputs provided. The optional logfile lists parameters, the spectra
+combined for each group, scaling, weights, etc., and the output names.
+
+The spectral combining is done using pixels at common dispersion
+coordinates rather than physical or logical pixel coordinates. If the
+spectra to be combined do not have identical dispersion coordinates then
+the spectra are interpolated to a common dispersion sampling before
+combining. The interpolation conserves pixel values rather pixel fluxes.
+This means that flux calibrated data is treated correctly and that
+spectra in counts are not corrected in the interpolation for changes in
+pixel widths. The default interpolation function is a 5th order
+polynomial. The choice of interpolation type is made with the package
+parameter "interp". It may be set to "nearest", "linear", "spline3",
+"poly5", or "sinc". Remember that this applies to all tasks which might
+need to interpolate spectra in the \fBonedspec\fR and associated packages.
+For a discussion of interpolation types see \fBonedspec\fR.
+
+There are two choices for the common dispersion coordinate sampling. If the
+\fIfirst\fR parameter is set then the dispersion sampling of the first
+spectrum is used. If this dispersion is nonlinear then the end points and
+number of pixels are preserved and a linear dispersion is applied between
+the endpoints. If the parameter is not set then the user specified linear
+or log linear dispersion system is used. Any combination of starting
+wavelength, ending wavelength, wavelength per pixel, and number of output
+pixels may be specified. Unspecified values will default to reasonable
+values based on the minimum or maximum wavelengths of all spectra, the
+minimum dispersion, and the number of pixels needed to satisfy the other
+parameters. If the parameters overspecify the linear system then the
+ending wavelength is adjusted based on the other parameters. Note that for
+a log linear system the wavelengths are still specified in nonlog units and
+the dispersion is finally recalculated using the difference of the log
+wavelength endpoints divided by the number pixel intervals (the number of
+pixels minus one).
+
+This task is layered on top of the \fBimcombine\fR task. What happens
+is that the spectra for each group to be combined is extracted from
+the input, resampled to a common dispersion, and the resulting spectra
+written to temporary images, one per spectrum. The temporary images
+are written to the current working directory with names begining with
+"tmp". The same is done with any bad pixel masks. Then the list of
+images are combined using the IMCOMBINE algorithms. When the combining
+is completed the temporary images are removed. If ODCOMBINE aborts
+for some reason these file may be left behind and the user may delete
+them. Details of what IMCOMBINE does are presented separate under the
+help topic for the IMCOMBINE task.
+
+.ih
+EXAMPLES
+1. Combine orders of echelle images.
+
+.nf
+ cl> odcombine *.ec *%.ec%% group=images combine=sum
+.fi
+
+2. Combine all spectra using range syntax and scale by the exposure times.
+
+.nf
+ cl> names irs 10-42 > irs.dat
+ cl> odcombine @irs.dat irscombine group=all scale=exptime
+.fi
+
+3. Combine spectra by apertures using exposure time scaling and weighting.
+
+.nf
+ cl> odcombine *.ms comb1d \\
+ >>> group=apertures scale=exptime weights=exptime
+ cl> scopy comb1d.* comb.ms format="multispec"
+ cl> imdel comb1d.*
+.fi
+.ih
+REVISIONS
+.ls ODCOMBINE V2.12.3
+This is a new version that incorporates most of the features of
+IMCOMBINE.
+
+In addition to the many new features, including application of pixel
+masks, the following functional differences from the old SCOMBINE
+are noted.
+
+.ls 1
+The output is always a single spectrum per image.
+.le
+.ls 2
+The "first" option does not allow rebinning to a non-linear dispersion.
+Instead, it rebins to the nearest linear dispersion matching the first
+spectrum.
+.le
+.ih
+SEE ALSO
+imcombine, scombine, scopy, sarith, lscombine
+.endhelp