Last Update: 2024-09-18 12:31 UTC
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Follow-up Ranking for lunation starting on 2023-09-29
Follow-up Ranking for lunation starting on 2023-10-28
Follow-up Ranking for lunation starting on 2023-11-27
Follow-up Ranking for lunation starting on 2023-12-27
Follow-up Ranking for lunation starting on 2024-01-25
Follow-up Ranking for lunation starting on 2024-02-24
Follow-up Ranking for lunation starting on 2024-03-25
Follow-up Ranking for lunation starting on 2024-04-23
Follow-up Ranking for lunation starting on 2024-05-23
Follow-up Ranking for lunation starting on 2024-06-22
Follow-up Ranking for lunation starting on 2024-07-21
Follow-up Ranking for lunation starting on 2024-08-19
Follow-up Ranking for lunation starting on 2024-09-18
The purpose of the present ranking is to provide a metrics to measure the performance and the contribution to the follow-up activity of several professional and amateurs telescopes. The page shows three tables: one is including all telescopes, one is including only big surveys telescopes, and one all but not big surveys telescopes.
The ranking is computed considering the priority value algorithm used to compute the Priority List. The approach is to compute the priority value (PV1) at the time of the first observation of the new dataset, without including in the orbit determination process the new set. Then, the priority value (PV2) is computed at the same time but including in the orbit determnation process also the new set. The Delta-PL value is computed as PV1 - PV2. The major contribution on the priority value improvement is obviously given by the uncertainty parameter shrinking, while the other observational parameters, which play a role in the priority list algorithm, such as visual magnitude, solar and lunar elongations and visibility windows,and so on, are pretty much the same or vary very little.
This service has been developed for the NEOROCKS (NEO Rapid Observation, Characterization And Key Simulation) Project, which has received funding from the European's Horizon 2020 research and innovation programme under grant agreement No 870403.