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Changes between Version 19 and Version 20 of stacking_coverage.20130307

v19	v20
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14	14	* Q1: "One good test to see if everything is propagated correctly is to check the noise"
15		* A1: I chose six horizontal stripes across the image, and calculated the image noise and variance median for each 100-pixel tall sample (partially because I have that code done and easy to use). To remove the effects of stars (which appear as horizontal excursions in the following plot), I used the median absolute deviation as the image noise statistic, converted in the plot to a Gaussian sigma. The variance image was measured using a simple median. No covariance term was applied, although a quick by-eye estimate suggests a covariance term of ~1.1.
	15	* A1: I chose six horizontal stripes across the image, and calculated the image noise and variance median for each 100-pixel tall sample (partially because I have that code done and easy to use). To remove the effects of stars (which appear as horizontal excursions in the following plot), I used the median absolute deviation as the image noise statistic, converted in the plot to a Gaussian sigma. The variance image was measured using a simple median. No covariance term was applied, although a quick by-eye estimate suggests a covariance term of ~1.1. Each horizontal stripe sample is offset from the previous by 200 counts on both axes to reduce the confusion of overlaps.
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17	17	[[Image(stacking_noise_match.png)]]