| Name | goupil JSON |
| Version |
1.3.1
JSON |
| download |
| home_page | None |
| Summary | A Monte Carlo engine for the backward transport of low energy gamma-rays. |
| upload_time | 2025-07-28 15:37:40 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7.0 |
| license | LGPLv3 |
| keywords |
gamma rays
monte carlo
backward
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Goupil <img src="https://github.com/niess/goupil/blob/master/docs/goupil.svg" width="30"> [![Documentation Status][RTD_BADGE]][RTD]
(_**G**amma transp**O**rt **U**tility, a**P**proximate but revers**I**b**L**e_)
Goupil is a Monte Carlo transport engine designed for low-energy gamma-rays
(0.1-3 MeV), typically emitted from radioactive isotopes. By using a backward
transport algorithm, and making a few approximations, Goupil can significantly
accelerate Monte Carlo simulations, resulting in computation time savings of up
to 5 orders of magnitude in the air.
## Documentation
Documentation for Goupil can be found online at [Read the Docs][RTD].
## License
The Goupil library is under the **GNU LGPLv3** license (see the provided
[COPYING](COPYING) and [COPYING.LESSER](COPYING.LESSER) files), except for
[examples][EXAMPLES] and [interfaces][INTERFACES] which are MIT-licensed.
[EXAMPLES]: https://github.com/niess/goupil/tree/master/examples
[INTERFACES]: https://github.com/niess/goupil/tree/master/src/interfaces
[RTD]: https://goupil.readthedocs.io/en/latest/
[RTD_BADGE]: https://readthedocs.org/projects/goupil/badge/?version=latest
Raw data
{
"_id": null,
"home_page": null,
"name": "goupil",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.7.0",
"maintainer_email": null,
"keywords": "gamma rays, Monte Carlo, backward",
"author": null,
"author_email": "Valentin Niess <valentin.niess@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/15/77/a20ece8e0bc7cb6d4c927bac9c2a04efbd46a6a999ba3edb911a1ef257d3/goupil-1.3.1.tar.gz",
"platform": null,
"description": "# Goupil <img src=\"https://github.com/niess/goupil/blob/master/docs/goupil.svg\" width=\"30\"> [![Documentation Status][RTD_BADGE]][RTD]\n(_**G**amma transp**O**rt **U**tility, a**P**proximate but revers**I**b**L**e_)\n\nGoupil is a Monte Carlo transport engine designed for low-energy gamma-rays\n(0.1-3 MeV), typically emitted from radioactive isotopes. By using a backward\ntransport algorithm, and making a few approximations, Goupil can significantly\naccelerate Monte Carlo simulations, resulting in computation time savings of up\nto 5 orders of magnitude in the air.\n\n## Documentation\n\nDocumentation for Goupil can be found online at [Read the Docs][RTD].\n\n## License\n\nThe Goupil library is under the **GNU LGPLv3** license (see the provided\n[COPYING](COPYING) and [COPYING.LESSER](COPYING.LESSER) files), except for\n[examples][EXAMPLES] and [interfaces][INTERFACES] which are MIT-licensed.\n\n\n[EXAMPLES]: https://github.com/niess/goupil/tree/master/examples\n[INTERFACES]: https://github.com/niess/goupil/tree/master/src/interfaces\n[RTD]: https://goupil.readthedocs.io/en/latest/\n[RTD_BADGE]: https://readthedocs.org/projects/goupil/badge/?version=latest\n",
"bugtrack_url": null,
"license": "LGPLv3",
"summary": "A Monte Carlo engine for the backward transport of low energy gamma-rays.",
"version": "1.3.1",
"project_urls": {
"source": "https://github.com/niess/goupil"
},
"split_keywords": [
"gamma rays",
" monte carlo",
" backward"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "ba7842a7d4ba8aedf3ad96a4a15f4b853fb222afbad6c9ccc33b340d9748fb65",
"md5": "dd7813a4ad5a99877130c7c44f8debea",
"sha256": "2c06c93e9f45f541da9f83a3bc62ab54e673a276c9150c608c81bddfee6f98da"
},
"downloads": -1,
"filename": "goupil-1.3.1-cp37-abi3-macosx_11_0_arm64.whl",
"has_sig": false,
"md5_digest": "dd7813a4ad5a99877130c7c44f8debea",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7.0",
"size": 1983592,
"upload_time": "2025-07-28T15:37:31",
"upload_time_iso_8601": "2025-07-28T15:37:31.217894Z",
"url": "https://files.pythonhosted.org/packages/ba/78/42a7d4ba8aedf3ad96a4a15f4b853fb222afbad6c9ccc33b340d9748fb65/goupil-1.3.1-cp37-abi3-macosx_11_0_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "aa09cd0a7b4a3abdeba5fc3f5b993aaabd7fe400efd28a1c1f61b24d302637f9",
"md5": "24d4b24a8cc44e97917094b179bcc0b3",
"sha256": "27f92c205fd36c2259b774fb9851ac43538178161557701231b836a9cb98763c"
},
"downloads": -1,
"filename": "goupil-1.3.1-cp37-abi3-macosx_11_0_x86_64.whl",
"has_sig": false,
"md5_digest": "24d4b24a8cc44e97917094b179bcc0b3",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7.0",
"size": 2061497,
"upload_time": "2025-07-28T15:37:32",
"upload_time_iso_8601": "2025-07-28T15:37:32.849316Z",
"url": "https://files.pythonhosted.org/packages/aa/09/cd0a7b4a3abdeba5fc3f5b993aaabd7fe400efd28a1c1f61b24d302637f9/goupil-1.3.1-cp37-abi3-macosx_11_0_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "86f7c3f184238fe43f327c3be399f38a5a777edec04c146ff945f2ac89f21d98",
"md5": "9da0215ad2618a171cc438fb6002939c",
"sha256": "fb16adf33059b7bf29903298597070942cda9931616f06a7254165aea47da614"
},
"downloads": -1,
"filename": "goupil-1.3.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "9da0215ad2618a171cc438fb6002939c",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7.0",
"size": 2155862,
"upload_time": "2025-07-28T15:37:34",
"upload_time_iso_8601": "2025-07-28T15:37:34.599386Z",
"url": "https://files.pythonhosted.org/packages/86/f7/c3f184238fe43f327c3be399f38a5a777edec04c146ff945f2ac89f21d98/goupil-1.3.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "6f8eec317b1ec39b289a59de8b7b0f36ae016b2dd188712a2514021991cc41fe",
"md5": "fd158da92c8ca96d19257e80e2f1a479",
"sha256": "ec46a038ed024218e0b378f353cabb1bfda5608f7b1a8cb7799e106310f11f80"
},
"downloads": -1,
"filename": "goupil-1.3.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "fd158da92c8ca96d19257e80e2f1a479",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7.0",
"size": 2223237,
"upload_time": "2025-07-28T15:37:36",
"upload_time_iso_8601": "2025-07-28T15:37:36.513364Z",
"url": "https://files.pythonhosted.org/packages/6f/8e/ec317b1ec39b289a59de8b7b0f36ae016b2dd188712a2514021991cc41fe/goupil-1.3.1-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "88ab6c6218d318b889f8b00450f1f5765f2b6f645b7066642e78c86ab44bda4c",
"md5": "e5a9688d65f043d44d4663a71b62c6b7",
"sha256": "89f884263465fa1d259ac32d7bea178b03d96c10185dc185354b04bbb0945194"
},
"downloads": -1,
"filename": "goupil-1.3.1-cp37-abi3-win_amd64.whl",
"has_sig": false,
"md5_digest": "e5a9688d65f043d44d4663a71b62c6b7",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7.0",
"size": 1864642,
"upload_time": "2025-07-28T15:37:38",
"upload_time_iso_8601": "2025-07-28T15:37:38.093834Z",
"url": "https://files.pythonhosted.org/packages/88/ab/6c6218d318b889f8b00450f1f5765f2b6f645b7066642e78c86ab44bda4c/goupil-1.3.1-cp37-abi3-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "8c033cebc19acf604b0b8f7da889813c1e9506c4e449858a291177c582bd9ee4",
"md5": "223aafeb6a9e60d0f9e2065f651e0d29",
"sha256": "7555f4a4dc6453d3239761ac094d1fce9cde50bf09adc8cbbccc18fa43d1c002"
},
"downloads": -1,
"filename": "goupil-1.3.1-cp37-abi3-win_arm64.whl",
"has_sig": false,
"md5_digest": "223aafeb6a9e60d0f9e2065f651e0d29",
"packagetype": "bdist_wheel",
"python_version": "cp37",
"requires_python": ">=3.7.0",
"size": 1859355,
"upload_time": "2025-07-28T15:37:39",
"upload_time_iso_8601": "2025-07-28T15:37:39.438048Z",
"url": "https://files.pythonhosted.org/packages/8c/03/3cebc19acf604b0b8f7da889813c1e9506c4e449858a291177c582bd9ee4/goupil-1.3.1-cp37-abi3-win_arm64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "1577a20ece8e0bc7cb6d4c927bac9c2a04efbd46a6a999ba3edb911a1ef257d3",
"md5": "1a5f01fd508a700f46611694cf1fbd94",
"sha256": "489ecae943398624ec3ec49b127a8f88a507059004b82b9fcf62d69380f709f8"
},
"downloads": -1,
"filename": "goupil-1.3.1.tar.gz",
"has_sig": false,
"md5_digest": "1a5f01fd508a700f46611694cf1fbd94",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7.0",
"size": 574366,
"upload_time": "2025-07-28T15:37:40",
"upload_time_iso_8601": "2025-07-28T15:37:40.774259Z",
"url": "https://files.pythonhosted.org/packages/15/77/a20ece8e0bc7cb6d4c927bac9c2a04efbd46a6a999ba3edb911a1ef257d3/goupil-1.3.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-28 15:37:40",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "niess",
"github_project": "goupil",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "goupil"
}
