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Add the codecov badge in README.md
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README.md

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[![shear-tests](https://github.com/lsst-dm/metadetect/actions/workflows/shear_test.yml/badge.svg?branch=lsst-dev)](https://github.com/lsst-dm/metadetect/actions/workflows/shear_test.yml)
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[![lsst-tests](https://github.com/lsst-dm/metadetect/actions/workflows/lsst-tests.yml/badge.svg?branch=lsst-dev)](https://github.com/lsst-dm/metadetect/actions/workflows/lsst-tests.yml)
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[![lsst-tests-ngmix](https://github.com/lsst-dm/metadetect/actions/workflows/lsst-tests-ngmix-upstream.yml/badge.svg?branch=lsst-dev)](https://github.com/lsst-dm/metadetect/actions/workflows/lsst-tests-ngmix-upstream.yml)
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[![codecov](https://codecov.io/gh/lsst-dm/metadetect/graph/badge.svg?token=3ZVPF4L11E)](https://codecov.io/gh/lsst-dm/metadetect)
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Library for meta-detection, combining detection and metacalibration.
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The algorithm is explained in detail in [Sheldon et al., (2020)](https://ui.adsabs.harvard.edu/abs/2020ApJ...902..138S/abstract) and its applicability with LSST data structures is demonstrated using simulations in [Sheldon et al., (2023)](https://ui.adsabs.harvard.edu/abs/2023OJAp....6E..17S/abstract).

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