This page is a re-reduction of this event. I used a dynamic mask, and used the 2026 January OCR model. This time, there were no OCR errors. The asteroid is tiny and the prediction is for the drop to be of order 9 magnitudes, a complete disappearance. The lowest point in the entire 1x recording happens exactly at the predicted time, again. But, there are other drops to about 25% of normal in the record, and PyOTE does not seem able to judge the validity of an event by also including he required magnitude drop
By trimming out possible drops far from the actual event time, and asking PyOTE to look for events of minimal duration of 2 to 4 points, it found the correct spot. But the 3 points that are low but not as low as a full occultation, make the averaged drop only 63% and not the true 99% for the single point that is the true occultation.
The next two brightest stars on the chip are so much fainter than the target, and the fact there were no clouds or variable obscuration evident in the light curves, I did not use a reference star in PyOTE as it would only add noise. The integration setting was 1x, and no block integration.
NIE test 0.9 sigma
magDrop report: percentDrop: 63.5 magDrop: 1.093 +/- 0.685 (0.95 ci)
DNR: 2.30
D time: [03:32:30.2096]
D: 0.6800 containment intervals: {+/- 0.0100} seconds
D: 0.9500 containment intervals: {+/- 0.0662} seconds
D: 0.9973 containment intervals: {+/- 0.1796} seconds
R time: [03:32:30.2896]
R: 0.6800 containment intervals: {+/- 0.0100} seconds
R: 0.9500 containment intervals: {+/- 0.0662} seconds
R: 0.9973 containment intervals: {+/- 0.1796} seconds
Duration (R - D): 0.0800 seconds
Duration: 0.6800 containment intervals: {+/- 0.0183} seconds
Duration: 0.9500 containment intervals: {+/- 0.0848} seconds
Duration: 0.9973 containment intervals: {+/- 0.2073} seconds
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