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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7 Data Features and Artifacts<br />
<strong>IRAC</strong> <strong>Instrument</strong> <strong>Handbook</strong><br />
The common artifacts in <strong>IRAC</strong> data are discussed in this chapter. Most <strong>of</strong> these have been mitigated by<br />
the pipeline processing, which produces artifact-corrected images (“CBCDs”). Further mitigation is <strong>of</strong>ten<br />
possible by a judicious quality inspection <strong>of</strong> the data, and/or further processing <strong>of</strong> the BCDs. Note that<br />
many <strong>of</strong> these artifacts are quite commonly seen in <strong>IRAC</strong> images.<br />
The most common artifacts are as follows. Stray light from point sources should be masked by hand.<br />
Persistent images usually come from a bright source observed as part <strong>of</strong> the observation. In some cases,<br />
however, persistent images from a preceding observation may be found. One way to check this is by<br />
inspecting a median <strong>of</strong> all the images in an observation (AOR). Another possible flaw in the observations<br />
would be an exceptionally high radiation dosage. The nominal rate is 1.5 hits per array per second, and<br />
the radiation hits range from single pixels to connected streams (and occasionally small clouds <strong>of</strong><br />
secondaries). High particle hit rates occurred following one solar flare during the In-Orbit Checkout, and<br />
one in Nominal Operations. In the latter event, several hours <strong>of</strong> science data were rendered useless<br />
because <strong>of</strong> the large number <strong>of</strong> hits in the images. Objects that are bright enough leave muxbleed trails<br />
and can generate pinstripe patterns over large parts <strong>of</strong> the image, and <strong>of</strong>fsets along the columns and rows<br />
containing the bright source. Ghosts from internal reflections within the filters can be seen in almost<br />
every channel 1 or 2 BCD, and more ghosts in all channels are noticeable from bright objects.<br />
We begin with a discussion <strong>of</strong> the basic characteristics <strong>of</strong> the dark frames and flatfields that affect every<br />
image. We follow with a discussion <strong>of</strong> electronic artifacts. These effects arise from the inherent<br />
nonlinearity <strong>of</strong> the detector diodes and saturation <strong>of</strong> either the detector well, transistors in the mux, or the<br />
analog-to-digital converter (ADC) in the warm electronics; crosstalk within the mux or warm electronics;<br />
or from inductive coupling to currents in spacecraft cables. Most electronic effects have a short<br />
persistence, but image persistence, which is also nonlinear in photon fluence, can last seconds, minutes,<br />
hours, or even weeks. Next we have a section on optical artifacts, which include stray light or ghosts from<br />
sources within or outside the FOV. Finally, we discuss the effects <strong>of</strong> cosmic rays and solar protons on<br />
<strong>IRAC</strong> observations. Please note that asteroids may be “contaminants” in the data as well, especially when<br />
the target is close to the ecliptic plane. Asteroids can most effectively be rejected from datasets that have<br />
been taken at least several hours apart, so that the asteroids have moved in the data and can be masked out<br />
by temporal outlier rejection routines.<br />
7.1 Darks, Flats and Bad Pixels<br />
The true median dark currents, due to nonzero leakage resistance or recombination in reverse-biased<br />
detector diodes, are very small compared to the current from the background at the darkest part <strong>of</strong> the<br />
celestial sphere. Labdarks, which were measured with the cold <strong>IRAC</strong> shutter closed, with zero photon<br />
flux, are not zero, and have significant pixel-dependent <strong>of</strong>fsets, usually positive, that depend on the frame<br />
time and the Fowler number, as well as the history <strong>of</strong> readouts and array idling over the previous several<br />
hours. Channel 3 is by far the most extreme case, in which, for example, a 100 second (Fowler-16) frame<br />
can be <strong>of</strong>fset as much as 370 DN (median), or the equivalent <strong>of</strong> 1400 electrons at the integrating node,<br />
Data Features and Artifacts 103 Darks, Flats and Bad Pixels