[AstroPy] Cross-Identification of stars in a collection of images

[Joe Philip Ninan]

Hi,
The blog[1] Richard mentioned seems to be dealing with matching the stars
using their RA and Dec.
Even the code mentioned in the last comment of the page seems to be for
that.
I was looking for a code which matches stars from frame to frame using
their pixel coordinates.
The http://astrometry.net suggested by Wolfgang does what i wanted.
But as he suggested, i think i shall write a function in python itself to
do that, so that we can use it for general purpose.
I am planning to use the algorithm mentioned by Peter B. Stetson in his
'The Techniques of Least squares and stellar Photometry with CCDs'  [2].
Thanking you all for suggestions,
-cheers
Joe

[2] http://ned.ipac.caltech.edu/level5/Stetson/Stetson5_2.html


On 14 March 2012 21:49, Richard P Wagner <rpwagner at sdsc.edu> wrote:

> Hi Joe,
>
> On Mar 14, 2012, at 7:13 AM, Joe Philip Ninan wrote:
>
> > Hi,
> > Is there any python function to cross-identify the stars between
> different frames and calculate the coefficients of coordinate
> transformation equations?
> > If not, i am planning to implement it by first running daofind using
> pyraf and then trying to match triangles; starting from brightest stars.
> > Is there any better/easier way to do this?
> > Thanking you,
> > Joe
>
> I don't tackle observational data myself, but I know that others work on
> cross-matching regularly. You might find this AstroPython blog post a
> useful starting point [1].
>
> --Rick
>
> [1]
> http://www.astropython.org/blog/2010/4/Question-Cross-matching-in-python
>
> >
> > --
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-- 
/---------------------------------------------------------------
"GNU/Linux: because a PC is a terrible thing to waste" -  GNU Generation

************************************************
Joe Philip Ninan    http://sites.google.com/site/jpninan/
Research Scholar        /________________\
DAA,                            | Vadakeparambil |
TIFR,                           | Pullad P.O.         |
Mumbai-05, India.      | Kerala, India      |
Ph: +917738438212   | PIN:689548       |
------------------------------\_______________/--------------
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