All,

I had an action item from a past phonecon to dig out Andrew's thesis and report on his method for correcting for differential refraction in difference imaging. Here's a quick summary of the prescription:

1. Register and warp the red template image so that it overlays the blue template image (there is a scale difference between red and blue in the Macho camera), subtract sky from both, and form a ratio (color) image.

2. Prior to forming a difference image at some airmass, remap each blue template image pixel to the position it would refract to based on the airmass and the template color from (1). In calculating the differential refraction, the assumption is made that the objects forming the image are stars radiating as a blackbody at some temperature.

3. Carry through with the usual image subtraction procedure.

The effectiveness of this procedure is not well documented in the thesis, but there is a comparison of a difference image done with and without the correction which certainly shows a big improvement in the residuals around the stars. It is at high airmass (2.4) of course, but the Macho pixel size was 0.62", so the effect is sub-pixel even there. I do recall Andrew showing me light curves with and without the refraction correction, but none of this made it into the thesis. We could ask him if he still has that info around.

Cheers,
Tim

Robert Lupton wrote:
February 16, 2006 1:00 pm : ImageDetWG 'Phone Con

866 330 1200, passcode 300-2363#

Agenda:
    Action items
        Andy Becker reporting on Drake's paper
        on difference imaging in the presence of refraction

        Zeljko: requirements on focal plane rigidity

    Today's Exciting Topic:

        Galaxy Photometry and other Parameters. What should we do?
            Isophotal
            Kron
            Petrosian
            Models
                How sophisticated?
            Texture etc.
            Shapelets?

            Shape measures for lensing
                How should we handle multiple exposures?

    Any other business

                R

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