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IRAC Instrument Handbook - IRSA - California Institute of Technology

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<strong>IRAC</strong> <strong>Instrument</strong> <strong>Handbook</strong><br />

Figure 5.4: Application <strong>of</strong> <strong>IRAC</strong>WRAPCORR to Channel 1 data. The many apparently “hot”<br />

pixels are actually wrapped negative values, which are detecte d on the basis <strong>of</strong> the ir vastly<br />

exceeding the physical saturation value for the detectors, and corrected by subtracting the<br />

appropriate value. Real hot pixels do not exceed the physical saturation value, and hence are not<br />

changed.<br />

Figure 5.5: Illustration <strong>of</strong> bit truncation used by <strong>IRAC</strong> for ground transmission, necessitating<br />

<strong>IRAC</strong>NORM. The internally stored 24-bit word in truncated to 16 bits, with a sliding window set<br />

by the barrel shift value. Illustrated is the case for ABARREL=4.<br />

5.1.8 SNESTIMATOR (initial estimate <strong>of</strong> uncertainty)<br />

The module SNESTIMATOR calculates the uncertainty <strong>of</strong> each pixel based on the input image (here, the<br />

input image is the output <strong>of</strong> <strong>IRAC</strong>NORM). The uncertainty for each pixel is estimated as the Poisson<br />

noise in electrons and the readout noise added in quadrature. The formula for the calculation is as follows:<br />

2 2<br />

σ σ readnoise +<br />

= σ<br />

(5.7)<br />

2<br />

poisson<br />

Pipeline Processing 75 Level 1 (BCD) Pipeline

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