Computer Science – Performance
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351..228l&link_type=abstract
Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob
Computer Science
Performance
Scientific paper
TFIT is a software package for measuring relative galaxy photometry between imaging data sets with different angular resolutions, such as the Hubble ACS and Spitzer IRAC images taken for the Great Observatories Origins Deep Survey (GOODS). It combines prior information about spatial position and morphology obtained from high angular resolution images with PSF information about both images to construct object templates, which it then fits to a lower-resolution image of the same field. Simulations demonstrate that this technique improves accuracy in uncrowded fields, with performance holding steady as crowding increases and object separation decreases to 1.5 PSF FWHM: outperforming SExtractor by a factor of two. Photometry is also measured, with < 10% degradation, for objects that SExtractor fails to deblend. On real GOODS data, TFIT produces results that are consistent with a traditional PSF subtraction method. TFIT is implemented in Python and C++.
Clubb Kelsey
Dickinson Marc
Ferguson Harry
Grogin Norman
Idzi Rafal
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