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# Introduction
This repository deals with the result review of the machine learning-based pipeline, [**lensid**](https://git.ligo.org/srashti.goyal/lensid), for the LVK O3b lensing analysis, to identify the potential strongly lensed candidate BBH event pairs.
This repository deals with the result review of the machine learning-based pipeline, [**lensid**](https://git.ligo.org/srashti.goyal/lensid), for the LVK O3b lensing analysis, to identify the potential strongly lensed candidate BBH event pairs using their Skymaps and Q-transforms.
The automation wrapper : [alensidforlensingflow](https://git.ligo.org/srashti.goyal/alensidforlensingflow)
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O4a repo: [lensid-ml-o4](https://git.ligo.org/srashti.goyal/lensid-ml-o4)
** The data for O4a and MDC is saved on CIT:**
**The input data for O4a and MDC is saved on CIT:**
`/home/srashti.goyal/lensid_O4/data_download_preparation` and `/home/srashti.goyal/lensing_MDC_O4/data_prep/data`
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