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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<strong>IRAC</strong> <strong>Instrument</strong> <strong>Handbook</strong><br />
increased until the box length is many hundreds <strong>of</strong> pixels. For reference the solid line shows the expected<br />
linear relation.<br />
4.11.5.2 Small Scales<br />
There is a discrepancy between the expected linear behavior and the data at short binning length scales <strong>of</strong><br />
just a few pixels (mosaics only). This discrepancy occurs because we have correlated noise on a<br />
mosaicked image on small pixe l scales (a few pixe ls), so the noise does not bin down appropriately.<br />
4.11.5.3 Medium Scales<br />
On 5”−30” scales much <strong>of</strong> the extra noise is due to sources in the image. The first level <strong>of</strong> masking used<br />
the SExtractor segmentation map as a mask. The resulting noise properties are shown with asterisks.<br />
Increasing the size <strong>of</strong> the masks to 1.5 (2.0) times the SExtractor-determined object radii produced noise<br />
properties shown with a square (triangle) symbol. Further increases in mask size are inconsequential. The<br />
discrepancy between the observed and expected behaviors in this binning length regime is dominated by<br />
noise from the wings <strong>of</strong> galaxies that are improperly masked. Even after increasing the mask sizes, extra<br />
sources <strong>of</strong> noise remain which prevent detection <strong>of</strong> ultra-low surface brightness. There appears to be a<br />
floor to the noise at roughly 0.0005 MJy/sr at 3.6 μm and 0.0008 MJy/sr at 4.5 μm.<br />
4.11.5.4 Large Scales<br />
Some <strong>of</strong> the large-scale noise is caused by the mapping pattern used for the observations. On scales <strong>of</strong><br />
roughly half a fie ld <strong>of</strong> view there are differences in the total exposure time and hence the total number <strong>of</strong><br />
electrons detected (not a dominant source <strong>of</strong> noise). There are remaining sources <strong>of</strong> noise on the large<br />
scales, both instrumental and astronomical, which are very hard to disentangle. Uncertainties in the flatfielding<br />
and removal <strong>of</strong> the first frame effect are two instrumental effects that are contributing to the noise<br />
on large scales. The first frame effect has a column-wise dependence that requires special calibration data<br />
to measure. Astrophysically, there is real structure in the zodiacal light and Galactic cirrus. There is also<br />
documented diffuse intracluster light in the Virgo cluster itself, and a small signal from the extragalactic<br />
background light that are both adding to the noise at low levels. There is potentially also noise due to the<br />
blue infrared color <strong>of</strong> intracluster light, while the zodiacal light from which the flats are made is red in<br />
near-IR (see Section 4.2). Differentiating between all <strong>of</strong> these sources <strong>of</strong> noise is difficult.<br />
4.11.5.5 Increasing exposure time<br />
The <strong>IRAC</strong> dark field was used to study whether the noise decreases with the square root <strong>of</strong> exposure time,<br />
as expected. The dark field has extremely low zodiacal light and low Galactic diffuse emission. Using all<br />
the warm mission dark calibration data through 2010, a mosaic was made from 300 dark frames (each<br />
with 100 second frame time). Object masking was made with the SExtractor segmentation image. The<br />
Calibration 62 Extended Source Photometry