BP/RP (often shortened as XP) spectra will become available for the first time in Gaia Data Release 3 (DR3). In their first release, only source mean spectra will be available: these are spectra that have been generated from a number of single observations of the same object. Epoch spectra, i.e. spectra consisting of one single observation, will become available in future releases.
GaiaXPy is a Python library to facilitate handling Gaia BP/RP spectra as distributed from the Gaia archive.
To learn more about the package click [here](https://gaiaxpy.readthedocs.io/en/latest/description.html).
You can also check the [homepage](https://gaia-dpci.github.io/GaiaXPy-website/) for documentation, tutorials, and resources.
## Licence
[BSD 3-Clause](https://github.com/gaia-dpci/GaiaXPy/blob/main/LICENCE)
Raw data
{
"_id": null,
"home_page": "https://gaia-dpci.github.io/GaiaXPy-website/",
"name": "GaiaXPy",
"maintainer": "Daniela Ruz-Mieres",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "d.ruzmieres@ast.cam.ac.uk",
"keywords": "",
"author": "Francesca De Angeli, Zuzanna Kostrzewa-Rutkowska, Paolo Montegriffo, Lovro Palaversa, Daniela Ruz-Mieres",
"author_email": "fda@ast.cam.ac.uk",
"download_url": "https://files.pythonhosted.org/packages/d7/b1/aa2a62ec57f275eb8a0bbf56316061eb4b3c793e2ec5ffa5b91e1a80f95f/GaiaXPy-2.1.0.tar.gz",
"platform": null,
"description": "BP/RP (often shortened as XP) spectra will become available for the first time in Gaia Data Release 3 (DR3). In their first release, only source mean spectra will be available: these are spectra that have been generated from a number of single observations of the same object. Epoch spectra, i.e. spectra consisting of one single observation, will become available in future releases.\n\nGaiaXPy is a Python library to facilitate handling Gaia BP/RP spectra as distributed from the Gaia archive.\n\nTo learn more about the package click [here](https://gaiaxpy.readthedocs.io/en/latest/description.html).\n\nYou can also check the [homepage](https://gaia-dpci.github.io/GaiaXPy-website/) for documentation, tutorials, and resources.\n\n## Licence\n[BSD 3-Clause](https://github.com/gaia-dpci/GaiaXPy/blob/main/LICENCE)\n",
"bugtrack_url": null,
"license": "",
"summary": "Utilities to handle BP/RP (XP) Gaia low-resolution spectra as delivered via the archive",
"version": "2.1.0",
"project_urls": {
"Homepage": "https://gaia-dpci.github.io/GaiaXPy-website/"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "3c3fc840020c75561726121fbc29849f1f369858a7c5acee5884ae856aa2d23b",
"md5": "517213095302474c126339b6ec26b42e",
"sha256": "5df52d451c66a6f2188d9dd3ae13bd208682fe3d62b0f39747277a0aa67f21db"
},
"downloads": -1,
"filename": "GaiaXPy-2.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "517213095302474c126339b6ec26b42e",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 825373,
"upload_time": "2023-08-11T19:22:51",
"upload_time_iso_8601": "2023-08-11T19:22:51.855081Z",
"url": "https://files.pythonhosted.org/packages/3c/3f/c840020c75561726121fbc29849f1f369858a7c5acee5884ae856aa2d23b/GaiaXPy-2.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d7b1aa2a62ec57f275eb8a0bbf56316061eb4b3c793e2ec5ffa5b91e1a80f95f",
"md5": "77e99dcd2410790ad878ba5a3487f2ef",
"sha256": "eef985c15bd2282bf420a56ab9e50e5d602928b83393ee02215433196269ade6"
},
"downloads": -1,
"filename": "GaiaXPy-2.1.0.tar.gz",
"has_sig": false,
"md5_digest": "77e99dcd2410790ad878ba5a3487f2ef",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 729131,
"upload_time": "2023-08-11T19:22:53",
"upload_time_iso_8601": "2023-08-11T19:22:53.656123Z",
"url": "https://files.pythonhosted.org/packages/d7/b1/aa2a62ec57f275eb8a0bbf56316061eb4b3c793e2ec5ffa5b91e1a80f95f/GaiaXPy-2.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-11 19:22:53",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "gaiaxpy"
}