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AndresdPM authored Oct 30, 2023
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GaiaHub is a Python/Fortran tool that computes proper motions combining data from Gaia and the Hubble Space Telescope.

## License and Referencing
GaiaHub and its documentation are released under a BSD 2-clause license. GaiaHub is freely available and you can freely modify, extend, and improve the GaiaHub source code. However, if you use it for published research, you are requested to cite [del Pino et al. 2022](https://ui.adsabs.harvard.edu/abs/2022ApJ...933...76D/abstract) where the method is described.
GaiaHub and its documentation are released under a BSD 2-clause license. GaiaHub is freely available and you can freely modify, extend, and improve the GaiaHub source code. However, if you use it for published research, you are requested to cite [del Pino et al. 2022](https://ui.adsabs.harvard.edu/abs/2022ApJ...933...76D/abstract) where the method is described.


## Features
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For more examples please see [del Pino et al. 2022](https://ui.adsabs.harvard.edu/abs/2022ApJ...933...76D/abstract) and the Documentation file (Documentation_v1.pdf).

## Notes on Version 1.2.0

- Improved "--rewind_stars" option which iterates on the transformation fitting using Gaia-only (in the first iteration) and Gaia-HST (in subsequent iterations) PMs to provide better solutions.
- Implemented "--load_existing" option which saves time by skipping the image checking procedure when the images have been previously downloaded.
- Fixed bug: Gaia's positional uncertainties have been increased by default (Fabricius et al. 2021).

## Notes on Version 1.1.0

- Fixed bug: GaiaHub will now not download HAP images.
- New statistics added through the "---use_stat" option.
- New statistics added through the "--use_stat" option.
- New iterative sigma-clipped method to obtain the absolute reference frame.

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