Do we see false detections on the MD fields? Do we get funny problems with the histogram plots like we do with SAS?


== Viewing the Detections == 

(click on the images to see bigger version)

XY27 is the same chip that I used before for investigating false detections, here it is for this image:
[[Image(XY27.jpg, 800px)]]

XY06

[[Image(xy06.jpg, 120px)]]

XY14

[[Image(xy14.jpg, 120px)]]

XY25

[[Image(xy25.jpg, 120px)]]

The distribution of the false detections appears a bit different for this MD field - previously, there would be entire cells that were just bad. This doesn't seem to happen like it did for the SAS footprint. 


== Histograms ==

(click on the images to make bigger)

This is a zoom of XY27 in ds9.  The numbers correspond to the cells that I investigate down below.  Some of these cells had a lot of streakies/and/or/false detections for SAS footprint, but it isn't so bad for this field.

[[Image(ds9.zoom.label.png, 800px)]]

I plotted a histogram of pixel/sqrt(variance) for each of the cells.  The colors are as follows:

 * 1 = red
 * 2 = orange
 * 3 = gold
 * 4 = yellow 
 * 5 = green
 * 6 = darkgreen
 * 7 = blue
 * 8 = violet

[[Image(allofthem.png, 800px)]]

This already looks a lot different than what was seen for SAS footprint. 

Plotting each of the cells separately and plotting the same with the x axis flipped shows that it's way more symmetric than for SAS:

 * 1 [[Image(1.png, 200px)]]
 * 2 [[Image(2.png, 200px)]]
 * 3 [[Image(3.png, 200px)]]
 * 4 [[Image(4.png, 200px)]]
 * 5 [[Image(5.png, 200px)]]
 * 6 [[Image(6.png, 200px)]]
 * 7 [[Image(7.png, 200px)]]
 * 8 [[Image(8.png, 200px)]]

All of these plots are for the single chip stage. I am working on doing similar investigations for the stack stage.