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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5.8 µm 0.66−0.73<br />
8.0 µm 0.74<br />
<strong>IRAC</strong> <strong>Instrument</strong> <strong>Handbook</strong><br />
Surface Brightness = measured surface brightness x correction_factor, where the correction factors<br />
represent the infinite aperture value. Note that for <strong>IRAC</strong> channel 3 the recommended correction is<br />
somewhere between 0.66 and 0.73, depending on the downward curvature <strong>of</strong> the aperture corrections<br />
(which is highly uncertain). These aperture corrections should be good to 10%.<br />
Examples <strong>of</strong> LSB objects: large, late-type galaxies (e.g., NGC 300); Magellanic-type galaxies (e.g., NGC<br />
6822); diffuse dwarf galaxies (e.g., M81 DwA); HII regions that are larger than ~100 arcseconds and not<br />
very centrally condensed.<br />
4.11.4 Caveats & Cautionary Notes<br />
At small radii, r < 7–8", the extended source aperture corrections should not be used. Instead, we<br />
recommend using the point source aperture corrections for small radii.<br />
It remains uncertain how much the spectral shape <strong>of</strong> the extended object determines the flux corrections;<br />
the aperture corrections presented here were derived using relatively "old" spheroidal galaxies. To first<br />
order, the extended source aperture corrections apply to most types <strong>of</strong> galaxies.<br />
Likewise with the spectral color caveat, it remains uncertain how much the spatial distribution <strong>of</strong> the light<br />
determines the flux corrections; these corrections were derived using relatively high surface brightness<br />
spheroidal galaxies; it is unknown whether these corrections apply to lower surface brightness galaxies<br />
(e.g., late-type spirals; irregulars; Magellanic-types).<br />
4.11.5 Faint Surface Brightness Behavior<br />
Note that the discussion in this section applies only to warm <strong>IRAC</strong> data. For more detailed information,<br />
please see Krick et al. (2011, [16]).<br />
4.11.5.1 Binning<br />
Binning data by essentially making larger “pixels” should reduce the noise in the image linearly with<br />
binning length. Figure 4.9 and Figure 4.10 show a plot <strong>of</strong> noise versus binning length for a set <strong>of</strong> deep<br />
mapping data in the Virgo cluster (PID 60173). These data have been carefully corrected for the first<br />
frame effect using the data themselves. The measured noise does not achieve the expected linear relation<br />
with binning length.<br />
Calibration 60 Extended Source Photometry