Content Comparison

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1. run ATpneumatics_checkout
2. open dome: auxtel/atdome/open_dome.py
3. open mirror covers (component: ATPneumatics, cmd: openM1Cover)
4. enable corrections:
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5. With run command, disable dome following.
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6. run correct pointing (put range for target there)
7. try to run latiss_wep_align to focus telescope - may not work, may have to do manual focus sweep
8. NOTE: FIND CORRECT AZ POINTING FOR THE DOME
9. Find targets of mag 12 +/- 1 at a large range of airmasses/elevations and take images of those without moving dome
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   2. take_image_latiss as engtest → with g band in filter wheel, reason is on-sky, probably
10. stop tracking
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11. point to MOSS and take a series of images there
    1. 
    2. take_image_latiss

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b) the smaller two groups are actually from the same pair of beams, and the distance between them in y is changing dramatically

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Now, we want to find which physical beams are in pair 3. From the dataframe it looks like pair 3 is composed of source_id_1 = 1 and source_id_2 = 2.

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• Are we misidentifying one of the sources sometimes, or are we actually seeing that much motion in the same pair

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• ?

Which x and y coordinates do these source_id values correspond to?

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Plotting our four groups of peaks gives me this, which does look like we are plotting the same shape as the images I have that look like the above. However, maybe it's the COM plotting that is being difficult; when I plot grouping by the positions relative to the COM in x and y (as the pairwise distances function does), I get weird chunks in my groupings that don't conform to the expected peak positions.

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Why would the center of mass function be splitting up these groups? The code for the COM groups is:

'''

def calculate_com(group):
# Compute Center of Mass (COM)
com_x = group['centroid_x'].mean()
com_y = group['centroid_y'].mean()

# Add COM to the DataFrame
group['COM_x'] = com_x
group['COM_y'] = com_y

# Calculate position relative to COM
group['pos_rel_COM_x'] = group['centroid_x'] - com_x
group['pos_rel_COM_y'] = group['centroid_y'] - com_y

return group

'''

It is applied to the dataframe, and then new columns are added relating to COM. I think it must be the .mean() call from the calculate_com function, because the other major operation is just subtraction and should not throw relative spacing off (should just shift it).