# skytopix: Coordinate transformation from sky coordinates¶

This task allows a user to perform coordinate transformations with the full WCS and distortion model on source positions from sky coordinates to the WCS defined by an image. This task serves as a replacement for the IRAF.STSDAS task rd2xy, albeit with the added capability of understanding the full distortion model provided in the headers of images updated for use with astrodrizzle and tweakreg.

skytopix transforms source positions given as RA, Dec values into pixel positions on the image based on the WCS information and any recognized distortion keywords contained in the input image header.

## 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¶

ra : string, optional
RA position in either decimal degrees or HMS format (with or without ':') like '19:10:50.337406303' or '19 10 50.337406303'
dec : string, optional
Dec position in either decimal degrees or HMS format (with or without ':') like '-60:2:22.186557409' or '-60 2 22.186557409'
coordfile : str, optional
full filename with path of file with sky coordinates
colnames : str, optional
comma separated list of column names from ‘coordfile’ file containing sky coordinates, respectively. Will default to first two columns if None are specified. Column names for ASCII files will use ‘c1’,’c2’,… convention.
precision : int, optional
Number of floating-point digits in output values
output : str, optional
Name of output file with results, if desired
verbose : bool
Print out full list of transformation results (default: False)

## Returns¶

x : float
X position of pixel. If more than 1 input value, then it will be a numpy array.
y : float
Y position 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.

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.

1. Run the task using the TEAL GUI under PyRAF:

>>> import drizzlepac
>>> epar skytopix

2. Convert a single sky position (0:22:07.0088,-72:03:05.429)

from a calibrated ACS image (j94f05bgq_flt.fits) into a pixel position (X,Y) without using the TEAL GUI:

>>> from drizzlepac import skytopix
>>> x,y = skytopix.rd2xy("j8bt06nyq_flt.fits[sci,1]",
...                      '0:22:07.0088', '-72:03:05.429')

1. Convert a list of (undistorted) sky positions from the file,
‘radec.dat’ for a calibrated ACS image (j8bt06nyq_flt.fits)
into distorted pixel positions, and write out the result to the file ‘xypos.dat’ without using the TEAL GUI:
>>> x,y = skytopix.rd2xy("j8bt06nyq_flt.fits[sci,1]",

drizzlepac.skytopix.rd2xy(input, ra=None, dec=None, coordfile=None, colnames=None, precision=6, output=None, verbose=True)[source]