Provided by: funtools_1.4.8-1.1build2_amd64 bug

NAME

       funimage - create a FITS image from a Funtools data file

SYNOPSIS

       funimage  [-a]  <iname> <oname> [bitpix=n] funimage [-l] <iname> <oname> <xcol:xdims> <ycol:ydims> <vcol>
       [bitpix=n] funimage [-p x⎪y] <iname> <oname> [bitpix=n]

OPTIONS

         -a       # append to existing output file as an image extension
         -l       # input is a list file containing xcol, ycol, value
         -p [x⎪y] # project along x or y axis to create a 1D image

DESCRIPTION

       funimage creates a primary FITS image from the specified FITS Extension and/or Image Section  of  a  FITS
       file, or from an Image Section of a non-FITS array, or from a raw event file.

       The  first  argument  to the program specifies the FITS input image, array, or raw event file to process.
       If "stdin" is specified, data are read from the standard input. Use Funtools Bracket Notation to  specify
       FITS  extensions, image sections, and filters.  The second argument is the output FITS file.  If "stdout"
       is specified, the FITS image is written to the standard output.  By default, the output pixel values  are
       of  the  same  data type as those of the input file (or type "int" when binning a table), but this can be
       overridden using an optional third argument of the form:

         bitpix=n

       where n is 8,16,32,-32,-64, for unsigned char, short, int, float and double, respectively.

       If the input data are of type image, the appropriate section is extracted and blocked (based on  how  the
       Image  Section is specified), and the result is written to the FITS primary image.  When an integer image
       containing the BSCALE and BZERO keywords is converted to float, the  pixel  values  are  scaled  and  the
       scaling  keywords  are  deleted  from  the  output header. When converting integer scaled data to integer
       (possibly of a different size), the pixels are not scaled and the scaling keywords are retained.

       If the input data is a binary table or raw event file, these are binned  into  an  image,  from  which  a
       section  is extracted and blocked, and written to a primary FITS image.  In this case, it is necessary to
       specify the two columns that will be used in the 2D binning.  This can be done on the command line  using
       the bincols=(x,y) keyword:

         funcnts "foo.ev[EVENTS,bincols=(detx,dety)]"

       The full form of the bincols= specifier is:

         bincols=([xname[:tlmin[:tlmax:[binsiz]]]],[yname[:tlmin[:tlmax[:binsiz]]]])

       where the tlmin, tlmax, and binsiz specifiers determine the image binning dimensions:

         dim = (tlmax - tlmin)/binsiz     (floating point data)
         dim = (tlmax - tlmin)/binsiz + 1 (integer data)

       Using  this  syntax,  it is possible to bin any two columns of a binary table at any bin size.  Note that
       the tlmin, tlmax, and binsiz specifiers can be omitted if  TLMIN,  TLMAX,  and  TDBIN  header  parameters
       (respectively)  are present in the FITS binary table header for the column in question. Note also that if
       only one parameter is specified, it is assumed to be tlmax, and tlmin defaults to 1.  If  two  parameters
       are specified, they are assumed to be tlmin and tlmax.  See Binning FITS Binary Tables and Non-FITS Event
       Files for more information about binning parameters.

       By  default,  a new 2D FITS image file is created and the image is written to the primary HDU.  If the -a
       (append) switch is specified, the image is appended to an existing FITS file as an IMAGE extension.   (If
       the output file does not exist, the switch is effectively ignored and the image is written to the primary
       HDU.)   This  can  be useful in a shell programming environment when processing multiple FITS images that
       you want to combine into a single final FITS file.

       funimage also can take input from a table containing columns of x, y, and value (e.g.,  the  output  from
       fundisp  -l  which  displays  each  image x and y and the number of counts at that position.) When the -l
       (list) switch is used, the input file is taken to be a FITS or ASCII table containing  (at  least)  three
       columns  that  specify  the  x  and  y image coordinates and the value of that image pixel. In this case,
       funimage requires four extra arguments: xcolumn:xdims, ycolumn:ydims, vcolumn and bitpix=n. The x  and  y
       col:dim information takes the form:

         name:dim               # values range from 1 to dim
         name:min:max           # values range from min to max
         name:min:max:binsiz    # dimensions scaled by binsize

       In particular, the min value should be used whenever the minimum coordinate value is something other than
       one. For example:

         funimage -l foo.lst foo.fits xcol:0:512 ycol:0:512 value bitpix=-32

       The  list feature also can be used to read unnamed columns from standard input: simply replace the column
       name with a null string. Note that the dimension information is still required:

         funimage -l stdin foo.fits "":0:512 "":0:512 "" bitpix=-32
         240 250 1
         255 256 2
         ...
         ^D

       The list feature provides a simple way to generate a blank image.  If you pass a Column-based  Text  File
       to  funimage  in  which  the  text  header  contains  the  required image information, then funimage will
       correctly make a blank image. For example, consider the following text file (called foo.txt):

         x:I:1:10  y:I:1:10
         ------    ------
         0         0

       This text file defines two columns, x and y, each of data type 32-bit int and  image  dimension  10.  The
       command:

         funimage foo.txt foo.fits bitpix=8

       will create an empty FITS image called foo.fits containing a 10x10 image of unsigned char:

         fundisp foo.fits
                  1      2      3      4      5      6      7      8      9     10
             ------ ------ ------ ------ ------ ------ ------ ------ ------ ------
         10:      0      0      0      0      0      0      0      0      0      0
          9:      0      0      0      0      0      0      0      0      0      0
          8:      0      0      0      0      0      0      0      0      0      0
          7:      0      0      0      0      0      0      0      0      0      0
          6:      0      0      0      0      0      0      0      0      0      0
          5:      0      0      0      0      0      0      0      0      0      0
          4:      0      0      0      0      0      0      0      0      0      0
          3:      0      0      0      0      0      0      0      0      0      0
          2:      0      0      0      0      0      0      0      0      0      0
          1:      1      0      0      0      0      0      0      0      0      0

       Note  that  the  text  file must contain at least one row of data. However, in the present example, event
       position 0,0 is outside the limits of the image and will be ignored. (You can, of course,  use  real  x,y
       values to seed the image with data.)

       Furthermore,  you  can  use  the  TEXT  filter  specification  to obviate the need for an input text file
       altogether. The following command will create the same 10x10 char image without an actual input file:

         funimage stdin'[TEXT(x:I:10,y:I:10)]' foo.fits bitpix=8 < /dev/null
       or
         funimage /dev/null'[TEXT(x:I:10,y:I:10)]' foo.fits bitpix=8

       You also can use either of these methods to generate a region mask simply by appending  a  region  inside
       the filter brackets and specfying mask=all along with the bitpix. For example, the following command will
       generate a 10x10 char mask using 3 regions:

         funimage stdin'[TEXT(x:I:10,y:I:10),cir(5,5,4),point(10,1),-cir(5,5,2)]' \
         foo.fits bitpix=8,mask=all < /dev/null

       The resulting mask looks like this:

         fundisp foo.fits
                  1      2      3      4      5      6      7      8      9     10
             ------ ------ ------ ------ ------ ------ ------ ------ ------ ------
         10:      0      0      0      0      0      0      0      0      0      0
          9:      0      0      0      0      0      0      0      0      0      0
          8:      0      0      1      1      1      1      1      0      0      0
          7:      0      1      1      1      1      1      1      1      0      0
          6:      0      1      1      0      0      0      1      1      0      0
          5:      0      1      1      0      0      0      1      1      0      0
          4:      0      1      1      0      0      0      1      1      0      0
          3:      0      1      1      1      1      1      1      1      0      0
          2:      0      0      1      1      1      1      1      0      0      0
          1:      0      0      0      0      0      0      0      0      0      2

       You can use funimage to create 1D image projections along the x or y axis using the -p [x⎪y] switch. This
       capability  works  for both images and tables. For example consider a FITS table named ev.fits containing
       the following rows:

                X        Y
         -------- --------
                1        1
                1        2
                1        3
                1        4
                1        5
                2        2
                2        3
                2        4
                2        5
                3        3
                3        4
                3        5
                4        4
                4        5
                5        5

       A corresponding 5x5 image, called dim2.fits, would therefore contain:

                     1          2          3          4          5
            ---------- ---------- ---------- ---------- ----------
         5:          1          1          1          1          1
         4:          1          1          1          1          0
         3:          1          1          1          0          0
         2:          1          1          0          0          0
         1:          1          0          0          0          0

       A projection along the y axis can be performed on either the table or the image:

         funimage -p y ev.fits stdout ⎪ fundisp stdin
                     1          2          3          4          5
            ---------- ---------- ---------- ---------- ----------
         1:          1          2          3          4          5

         funimage -p y dim2.fits stdout ⎪ fundisp stdin
                     1          2          3          4          5
            ---------- ---------- ---------- ---------- ----------
         1:          1          2          3          4          5

       Furthermore, you  can  create  a  1D  image  projection  along  any  column  of  a  table  by  using  the
       bincols=[column]  filter specification and specifying a single column. For example, the following command
       projects the same 1D image along the y axis of a table as use of the -p y switch:

         funimage ev.fits'[bincols=y]' stdout ⎪ fundisp stdin
                     1          2          3          4          5
            ---------- ---------- ---------- ---------- ----------
         1:          1          2          3          4          5

       Examples:

       Create a FITS image from a FITS binary table:

         [sh] funimage test.ev test.fits

       Display the FITS image generated from a blocked section of FITS binary table:

         [sh]  funimage "test.ev[2:8,3:7,2]" stdout ⎪ fundisp stdin
                           1         2         3
                   --------- --------- ---------
                1:        20        28        36
                2:        28        36        44

SEE ALSO

       See funtools(7) for a list of Funtools help pages

version 1.4.5                                    April 14, 2011                                      funimage(1)