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This is an evolution of the idea of halo photometry as implemented in [halophot](https://github.com/hvidy/halophot) for K2.\n\n## Installation\n\nhalospec is hosted on PyPI (though this is currently a placeholder): the easiest way to install this is with \n\n```\npip install halospec\n```\n\nYou can also build from source. To do so, clone the git repo, enter the directory, and run\n\n```\npip install .\n```\n\nWe encourage the creation of a virtual enironment to run halospec to prevent software conflicts as we keep the software up to date with the lastest version of the core packages.\n\n\n## Use \u0026 Documentation\n\nDocumentation will be found [here](https://benjaminpope.github.io/halospec/), though this is currently a placeholder. \n\n## Collaboration \u0026 Development\n\nWe are always looking to collaborate and further develop this software! We have focused on flexibility and ease of development, so if you have a project you want to use halospec for, but it currently does not have the required capabilities, don't hesitate to [email me](b.pope@uq.edu.au) and we can discuss how to implement and merge it! Similarly you can take a look at the `CONTRIBUTING.md` file.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenjaminpope%2Fhalospec","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenjaminpope%2Fhalospec","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenjaminpope%2Fhalospec/lists"}