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AOTA - PowerPoint PPT Presentation

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AOTA. Asteroidal Occultation Time Analyser. AOTA is in Occult a nd looks like:. Aim. Create an alternative tool to analyse asteroidal occultation light curves Focus on measuring the D and R events independently Handle Limovie & Tangra files

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Asteroidal Occultation Time Analyser

  • Create an alternative tool to analyse asteroidal occultation light curves
  • Focus on measuring the D and R events independently
  • Handle Limovie & Tangra files
  • Handle output from integrating cameras
  • Clear presentation of what is ‘going on’
  • User friendliness & simplicity – as much as possible!
basic methodology
Basic methodology
  • Putative events identified using cross-correlation analysis
  • D and R events analysed by fitting a test light curve of varying transition duration, using a χ2 best fit analysis
  • Uncertainties determined using a Monte Carlo analysis, with noise applied to the test light curve
an interesting issue
An interesting issue

Cross-correlation function & event times

The value of the cross-correlation function has a small dependency on the ratio of the occultation duration to the test signal length.

 cross-correlation function is not ideal for identifying precise event times.

event identification
Event identification
  • Test signal extends for the entire recording duration
  • Sets a minimum cross-correlation level for a possible event
  • Look for symmetric triangle, straight sides, sharp apex, peak above orange region at bottom, and light curve flat across the bottom.
symmetric triangle with straight sides sharp apex flat light curve at bottom see 5 orange bars
Symmetric triangle with straight sides, sharp apex, flat light curve at bottom (see 5 orange bars)
Cloud event – asymmetric, non-straight sides, no sharp apex, light curve at bottom not flat (see orange bars)
can overlay comparison stars
Can overlay comparison stars
  • Note how the green line drops at the same time as the cloud event, but not for the occultation
can identify up to 5 putative events
Can identify up to 5 putative events
  • Each event can be separately analysed
accuracy visible via 2 curves
Accuracy visible via χ2 curves

Well-defined event

  • Small uncertainty on the ‘-’ side, large on the ‘+’ side
  • Poorly-defined event
output values
Output values

The AOTA output is:

  • Event ‘time’ and uncertainty in frames
  • Values of 0.5 arise only with transitions extending an even number of frames
  • Sub-frame calculations not done.
  • Conversion to time not implemented. Many issues to deal with – such as camera and VTI characteristics
future developments
Future developments
  • Possibility of adding functionality to convert event frames to event times
  • Tangra to interface directly with AOTA – so that the AOTA functionality is directly available when an event is measured with Tangra
  • Enhancements - driven by user feedback!