| Table of Contents | ||
|---|---|---|
|
...
- run ATpneumatics_checkout
- open dome: auxtel/atdome/open_dome.py
- open mirror covers (component: ATPneumatics, cmd: openM1Cover)
- enable corrections:
- With run command, disable dome following.
- run correct pointing (put range for target there)
- try to run latiss_wep_align to focus telescope - may not work, may have to do manual focus sweep
- NOTE: FIND CORRECT AZ POINTING FOR THE DOME
- Find targets of mag 12 +/- 1 at a large range of airmasses/elevations and take images of those without moving dome
- take_image_latiss as engtest → with g band in filter wheel, reason is on-sky, probably
- stop tracking
- point to MOSS and take a series of images there
- take_image_latiss
...
- plot a window of anemometer data against the movement in x and y that was worrying with the temperature data previously
- figure out how the total standard deviation column is calculated such that it is less than the y in some cases
- compare in temperature for multiple sets of beam pairs
- change axis labels to aximuth and elevation after angle changes
- more clearly split out in the code where these angle changes are
-
for the oscillatory motion over time, figure out if we fourier transform, is there a power spectrum - see if the temperature is increasing or decreasing over the course of a night, and if there is a corresponding change in beam separation for individual pairs
- if there is a trend, check if it is consistent between nights
- plot standard deviation of anemometer temperature against differential image motion std. dev (dome seeing) to check if they are correlated
-
analytic assessment of centroiding uncertainty: variance scales like sigma^2/flux, so standard deviation is sqrt of that(moved)
Documentation update 11.13
...
Presentation from 11.11 Notes:
- We have hardware that seems to work with the slight issue that dome jitter contributes problems
- Broadly speaking, rms increases with image motion between pairs
- The sonic anemometer data seems to bear no significant relation to moss data
- Chris trusts MOSS more as it is still a more direct measurement of what we actually care about
- Episodic jumps between pairs with opening and closing between pairs
- We are not seeing systematic focal length shifts with temperature which is great!
- Image motion in x in y correlation - work in progress
Delta x Delta y correlation plots (point versions of lissajous plots from presentation)
10 Images
50 Images
300 Images
We definitely see many non-negligible R^2 values here, and I think they would be even more significant with the reduction of some outliers.
Slides 11/25 with notes from group meeting
View file name 11.25.pptx height 250