Added stats.py about fidelity HOT 1 OPEN

Well done. Can you say anything about which distribution best fits
residuals?

What about scaling the -nb parameter based on the PSF size in pixels?

If you have some test images can you point me in their location? Thanks.

On Tue, Apr 21, 2015 at 7:29 PM, Sphesihle Makhathini <
[email protected]> wrote:

Just to get us going:

I've add a script that does some of the things we've talking about:

• It fits a distribution (cauchy, gaussian, laplace, maxwell) to the
  image pixels and returns the best fit parameters with their errors.
• Calculates the "local variance" at source locations (this requires a
  Tigger compatible sky model)

This is an example of how to run the script:

image_stats/stats.py -fit laplace -s -nb 200 -cat nvss6deg.lsm.html foreman_grill_0_s1-briggs-noise.fits

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#5.

from fidelity.