 Below are some examples for Guassian fitted histograms of pixel ADU values at different exposure times. Plotting the yaxis (frequency of pixels with a given ADU value) logarithmically allows for easier identification of high value pixels that are currently influencing the fit.
 10c_0000.1s: mu=945.979, simga=4.934
 10c_0001s: mu=946.100, sigma=4.927
 10c_0010s: mu=946.536, sigma=4.984
On can see obvious bin entries at larges ADU values (accidentally displayed incorrectly as number of photoelectrons!).
Goals:
 understand scale of yaxis
 Now extreme value pixels have been identified, I shall aim to exclude these from the Gaussian fit as they are currently skewing results.
 To obtain more accurate plots of mu v t and sigma v t, I shall aim to find the mean values at a given exposure time averaging over 10 exposures for exposures up to (and including) 100s and over 5 exposures for exposures between 150s1200s. This is to be done as currently the statistical error in the mu values is ~10^(6) the size of each mu value.
Observation targets
Will be looking to add to and narrow down in near future.
Target 
m 
~dimensions (') 
~age (Ma) 
M45 
1.6 
110 
150 
M38 
7.4 
21 
290 
M36 
6.3 
12 
25 
M37 
6.2 
24 
500 
M35 
5.3 
28 
110 
M41 
4.5 
38 
190 
M50 
5.9 
16 
78 
M47 
4.2 
30 
78 
M46 
6.1 
27 
300 
M93 
6 
22 
100 
M48 
5.5 
54 
300 
M44 
3.7 
95 
600 
M67 
6.1 
30 
32005000! 
