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T3.3.2.2: Missing Match Calculations Codebase #80

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Onoddil opened this issue May 21, 2024 · 0 comments
Open

T3.3.2.2: Missing Match Calculations Codebase #80

Onoddil opened this issue May 21, 2024 · 0 comments
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Onoddil commented May 21, 2024

Following #79, once the mathematical framework is built (ideally in such a way that it can be generically extended with more hypotheses, so that work can be conducted on this issue in parallel as well), construct the codebase to perform these matches, from a primary catalogue (LSST) to a secondary dataset (all of our determined ancillary catalogues, #14, in turn), for all primary objects. Should create an output of the relative probabilities of which object, if any, in the secondary dataset is the missed counterpart and why the object failed to be matched (or why there are no counterparts in this secondary dataset).

@Onoddil Onoddil self-assigned this May 21, 2024
@Onoddil Onoddil added this to the D3.3.2 milestone May 21, 2024
@Onoddil Onoddil changed the title T3.3.2.2: Implement algorithms for missing match calculations T3.3.2.2: Implement Algorithms For Missing Match cCalculations May 21, 2024
@Onoddil Onoddil changed the title T3.3.2.2: Implement Algorithms For Missing Match cCalculations T3.3.2.2: Implement Algorithms For Missing Match Calculations May 21, 2024
@Onoddil Onoddil changed the title T3.3.2.2: Implement Algorithms For Missing Match Calculations T3.3.2.2: Missing Match Calculations Codebase May 21, 2024
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