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stylenone

https://summit-lsp.

Table of Contents
stylenone


https://summit-lsp.lsst.codes/chronograf/sources/1/dashboards/65?refresh=Paused&lower=now%28%29%20-%2015m

...

  1. run ATpneumatics_checkout
  2. open dome: auxtel/atdome/open_dome.py
  3. open mirror covers (component: ATPneumatics, cmd: openM1Cover)
  4. enable corrections:
  5. With run command, disable dome following.
  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
    1. take_image_latiss as engtest → with g band in filter wheel, reason is on-sky, probably
  10. stop tracking
  11. point to MOSS and take a series of images there
    1. 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

...

Documentation update 11.13

To-do:

  •  sonic anemometer analytic correlation
  •  figure out what episodic temperature jumps are due  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

To-do:

  •  sonic anemometer analytic correlation
  •  figure out what episodic temperature jumps are due to
  •  correlation plots with delta x and delta y
  •  centroiding assessment (from above)



View file
nameMOSS 11.11.pptx
height250

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