We wanted to take some time and update you all on what we are doing with all the classifications that our volunteers (that’s you) have been making.
Even though we only have one retired image in our project, we have been working on the analysis that we plan to do when the images are all retired. We have been able to identify individual antinode regions that you have marked with ellipses. When we eliminate outliers from each cluster, we take the remaining ellipses and calculate an “average” ellipse. Right now, we have done this analysis with images that have 6 or more classifications on them.
Here are some examples of what it looks like when we overlay the average ellipses on top of the original frames:
What we really like about these results is that our volunteers seem to be capable of identifying all of the antinode regions in the images and that the average ellipse can be a good representation of the antinodes.
The following two examples tell a similar tale, but with a few subtle differences.
The above image shows a note centered at (290, 50) which is vibrating primarily with second harmonic motion, as evidenced by the two antinode regions. While the classifications made do pick out the two antinodes on this note, the average ellipse does not represent the antinode region as well as what we see in the top example on this page.
The last example, above, shows that the strike note is identified by our volunteers – it is the largest ellipse on the left side of the figure. However, the average ellipse is slightly larger than what the actual antinode region is, as can be clearly seen on the lower right side of that antinode region.
What we really want you all to see is that your effort to help out with this project is absolutely paying off! We are getting the information that we hoped we would get – thank you for your hard work and please keep it up!