Data analysis
- Below are some examples for Guassian fitted histograms of pixel ADU values at different exposure times. Plotting the y-axis (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 y-axis
- 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 150s-1200s. 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 |
3200-5000! |