pixtosky: Coordinate transformation to sky coordinates¶
This task allows a user to perform coordinate transformations
with the full WCS and distortion model on source positions
from an input image to sky coordinates. This task serves as
a replacement for the IRAF.STSDAS task xy2rd
, albeit with the
added capability of understanding the full distortion model
provided in the headers of images updated for use with astrodrizzle and
tweakreg.
pixtosky
transforms pixel positions given as X,Y values into
positions on the sky based on the WCS information and any recognized
distortion keywords from the input image header.
Authors: | Warren Hack |
---|---|
License: | http://www.stsci.edu/resources/software_hardware/pyraf/LICENSE |
Parameters¶
- input : str
- full filename with path of input image, an extension name [‘sci’,1] should be provided if input is a multi-extension FITS file.
Optional Parameters¶
- x : float, optional
- X position from input image
- y : float, optional
- Y position from input image
- coords : str, deprecated
- [DEPRECATED] full filename with path of file with x,y coordinates Filename given here will be ignored if a file has been specified in
coordfile
parameter.- coordfile : str, optional
- full filename with path of file with x,y coordinates
- colnames : str, optional
- comma separated list of column names from ‘coords’ files containing x,y coordinates, respectively. Will default to first two columns if None are specified. Column names for ASCII files will use ‘c1’,’c2’,… convention.
- separator : str, optional
- non-blank separator used as the column delimiter in the coords file
- hms : bool, optional (Default: False)
- Produce output in
HH:MM:SS.S
format instead of decimal degrees?- precision : int, optional
- Number of floating-point digits in output values
- output : str, optional
- Name of output file with results, if desired
- verbose : bool (Default: False)
- Print out full list of transformation results
Returns¶
- ra : float
- Right Ascension of pixel. If more than 1 input value, then it will be a numpy array.
- dec : float
- Declination of pixel. If more than 1 input value, then it will be a numpy array.
Notes¶
This task performs a full distortion-correction coordinate transformation
based on all WCS keywords and any recognized distortion keywords from the
input image header. The transformation recognizes the conventions for
describing distortion implemented as part of the SIP and Paper IV conventions
used with AstroDrizzle
. Input images can be updated to use these conventions
through the use of the updatewcs
module the STWCS package.
See Also¶
stwcs
Examples¶
This task can be run from either the TEAL GUI or from the Python command-line. These examples illustrate the syntax that can be used to run the task in a couple of common modes.
Run the task using the TEAL GUI under PyRAF:
>>> import drizzlepac >>> epar pixtosky
Convert a single X,Y position (100,100) from an calibrated ACS image (
j8bt06nyq_flt.fits
) into an undistorted sky position (RA,Dec) without using the TEAL GUI:>>> from drizzlepac import pixtosky >>> r,d = pixtosky.xy2rd("j8bt06nyq_flt.fits[sci,1]", 100, 100)
Convert a list of X,Y positions from the file
'xyfile.dat'
for a calibrated ACS image (j8bt06nyq_flt.fits
) into undistorted sky positions and write out the result to the file ‘radec.dat’ without using the TEAL GUI:>>> r,d = pixtosky.xy2rd("j8bt06nyq_flt.fits[sci,1]", coordfile="xyfile.dat", ... output="radec.dat")
The set of X,Y positions from
'input_flt.fits[sci,1]'
stored as the 3rd and 4th columns from the ASCII file'xy_sci1.dat'
will be transformed and written out to'radec_sci1.dat'
using:>>> from drizzlepac import pixtosky >>> r,d = pixtosky.xy2rd("input_flt.fits[sci,1]", coordfile='xy_sci1.dat', ... colnames=['c3','c4'], output="radec_sci1.dat")
-
drizzlepac.pixtosky.
xy2rd
(input, x=None, y=None, coords=None, coordfile=None, colnames=None, separator=None, hms=True, precision=6, output=None, verbose=True)[source]¶ Primary interface to perform coordinate transformations from pixel to sky coordinates using STWCS and full distortion models read from the input image header.