| Name | astronomical-matching JSON |
| Version |
0.1.dev0
JSON |
| download |
| home_page | |
| Summary | Astronomical Cross Matching: Collection of algorithms to solve the astronomical cross matching problem. |
| upload_time | 2023-08-01 18:53:20 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | ~=3.11 |
| license | BSD 3-Clause License Copyright (c) 2022, MNE All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
bayes factor
miqcp
cop-kmeans
cross-matching
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Astronomical Matching
Collection of algorithms to create matchings between astronomical catalogs.
## Background
Astronomical photos inherintly have error in them. To best predict where objects are, multiple photos of the same part of the sky are combined. This is equivalent to matching objects in one image to objects in another image. Existing methods rely on nearest-neighbor heuristics which do not take into account the fact that two objects from one image cannot be assigned to the same object.
Raw data
{
"_id": null,
"home_page": "",
"name": "astronomical-matching",
"maintainer": "",
"docs_url": null,
"requires_python": "~=3.11",
"maintainer_email": "Jacob Feitelberg <jef2182@columbia.edu>",
"keywords": "Bayes factor,MIQCP,COP-KMeans,Cross-Matching",
"author": "",
"author_email": "",
"download_url": "https://files.pythonhosted.org/packages/60/72/3aefb080718579d9d8159542ebece219a93bb3a09ed69dbc38677d257520/astronomical_matching-0.1.dev0.tar.gz",
"platform": null,
"description": "# Astronomical Matching\n\nCollection of algorithms to create matchings between astronomical catalogs.\n\n## Background\n\nAstronomical photos inherintly have error in them. To best predict where objects are, multiple photos of the same part of the sky are combined. This is equivalent to matching objects in one image to objects in another image. Existing methods rely on nearest-neighbor heuristics which do not take into account the fact that two objects from one image cannot be assigned to the same object.\n",
"bugtrack_url": null,
"license": "BSD 3-Clause License Copyright (c) 2022, MNE All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ",
"summary": "Astronomical Cross Matching: Collection of algorithms to solve the astronomical cross matching problem.",
"version": "0.1.dev0",
"project_urls": null,
"split_keywords": [
"bayes factor",
"miqcp",
"cop-kmeans",
"cross-matching"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "cd399883a10d5dad1975f5f2c6f584a9946c22f12563f6de63123f3131cbd023",
"md5": "0a0ceb24b441c9969a9397dff72c4f52",
"sha256": "5ee08340be718275573b7d30d54ec9dffc9f543fa83761d17bcef7d32a6d9440"
},
"downloads": -1,
"filename": "astronomical_matching-0.1.dev0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "0a0ceb24b441c9969a9397dff72c4f52",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "~=3.11",
"size": 17419,
"upload_time": "2023-08-01T18:53:19",
"upload_time_iso_8601": "2023-08-01T18:53:19.006558Z",
"url": "https://files.pythonhosted.org/packages/cd/39/9883a10d5dad1975f5f2c6f584a9946c22f12563f6de63123f3131cbd023/astronomical_matching-0.1.dev0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "60723aefb080718579d9d8159542ebece219a93bb3a09ed69dbc38677d257520",
"md5": "7e4cfd8bde6e137fd8f3f0df686c39a5",
"sha256": "edf8eaad4e27bea774ef12beb7a65c6d973536e355a2393f0337903735a25592"
},
"downloads": -1,
"filename": "astronomical_matching-0.1.dev0.tar.gz",
"has_sig": false,
"md5_digest": "7e4cfd8bde6e137fd8f3f0df686c39a5",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "~=3.11",
"size": 14593,
"upload_time": "2023-08-01T18:53:20",
"upload_time_iso_8601": "2023-08-01T18:53:20.751420Z",
"url": "https://files.pythonhosted.org/packages/60/72/3aefb080718579d9d8159542ebece219a93bb3a09ed69dbc38677d257520/astronomical_matching-0.1.dev0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-01 18:53:20",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "astronomical-matching"
}
