IRAC Instrument Handbook - IRSA - California Institute of Technology
IRAC Instrument Handbook - IRSA - California Institute of Technology
IRAC Instrument Handbook - IRSA - California Institute of Technology
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Point Source Fitting <strong>IRAC</strong> Images<br />
with a PRF<br />
163<br />
<strong>IRAC</strong> <strong>Instrument</strong> <strong>Handbook</strong><br />
A much more effective solution is to use aperture photometry for such sources. The SWIRE survey<br />
performed detailed analyses to determine an "ideal" extraction aperture such that it minimized noise. This<br />
aperture was 1.9 arcseconds in radius, or roughly twice the FWHM. Most other survey groups have found<br />
similar results, and this mirrors well-known ideas about aperture photometry <strong>of</strong> small sources. When such<br />
an aperture is used, even though some objects may be larger than this the number where the flux differs<br />
by a factor <strong>of</strong> 2 falls to only 3%. This improvement over the PSF-fitting reflects the fact that the<br />
summation over an aperture larger than the PSF FWHM will always capture a better representation <strong>of</strong> the<br />
true flux <strong>of</strong> an extended object, even if that is more extended than the aperture itself. A more ideal<br />
solution is to use Kron-like apertures (which are dynamically sized based on moments derived from the<br />
image) which are either derived from the data themselves or from image priors in some other band.<br />
We may thus conclude that for the extragalactic background, which is present in nearly all <strong>IRAC</strong> data, at<br />
least half the objects are resolved by <strong>IRAC</strong> in a meaningful fashion. Ideally, measurements should<br />
dynamically use shape information determined from the data themselves, or from priors derived from<br />
other, higher resolution datasets. Barring the use <strong>of</strong> shape parameters, use <strong>of</strong> aperture photometry in<br />
circular apertures somewhat larger than the PSF provides a more accurate result than PRF fitting.<br />
C.3.6 Positional Accuracy<br />
Tests were performed on GLIMPSE AORKEY 9225728, which contained approximately 10000 point<br />
sources in channels 1 and 2. Comparisons were made with respect to SExtractor Gaussian-windowed<br />
centroids XWIN_WORLD, YWIN_WORLD using both the pipeline mosaics, and mosaics made with the<br />
original pointing. Using the 100x oversampled PRFs recentered as previously described we found that the<br />
source positions agreed with SExtractor to within ~0.1". Systematic shifts with respect to 2MASS are<br />
~0.2" in the pipeline (superboresight) pointing, and ~0.4" in the original pointing. Recentering the PRF<br />
has no effect on photometry. The shifted and unshifted PRFs gave nearly identical photometric results in<br />
channels 1–4.<br />
C.3.7 A How-To-Guide for <strong>IRAC</strong> Point Source Photometry with APEX<br />
It is recommended that APEX in point source fitting mode should be used only directly on the BCD data<br />
using the H<strong>of</strong>fmann PRFs modified for use with APEX as described above. Trying to fit point sources on<br />
the mosaic is not recommended as the mosaicking process both blurs the undersampled point sources, and<br />
loses the pixel phase information. We also do not recommend using the prf_estimate tool to derive a PRF<br />
from <strong>IRAC</strong> data, as it does not deal correctly with the undersampling <strong>of</strong> the PRF.<br />
We list below the steps towards producing a point source list using APEX in multiframe mode (i.e., on<br />
the stack <strong>of</strong> individual [C]BCDs).<br />
1. Source fitting versus aperture fluxes: ask yourself if point source photometry is appropriate for<br />
your sources <strong>of</strong> interest. If in doubt after reading about photometry <strong>of</strong> moderately resolved<br />
sources above, use aperture photometry with APEX or Sextractor.