# ``RATANSunPy``
``RATANSunPy``
RATANSunPy is a Python package developed for accessing, visualizing, and analyzing
multi-band radio observations of the Sun from the RATAN-600 complex. These data are
valuable for diagnosing solar plasma conditions and predicting solar activity.
However, working with these data requires extensive processing and a thorough
understanding of the RATAN-600 system. The package offers comprehensive data
processing functionalities, including direct access to raw data, essential
processing steps such as calibration and quiet Sun normalization, and tools for
analyzing solar activity. This includes automatic detection of local sources,
identifying them with NOAA active regions, and further determining parameters for
local sources and active regions.
## Installation
To install RATANSunPy, run the following command:
```bash
pip install ratansunpy
```
## Usage
For more detailed information about the package and its functionalities, please refer to the [official documentation](https://spbfsao.github.io/RATANSunPy/).
The best place to start is the in [example gallery](https://github.com/SpbfSAO/RATANSunPy/tree/main/notebooks)
also includes a collection of shorter and more specific examples of using ratansunpy, or you can look at example usages in [colab notebook](https://colab.research.google.com/drive/1JCaW_Kj-1Al-sDoNhJRawlSit5gietKm?usp=sharing) if you want to try it yourself.
<p align="center">
<img src="images/raw_ratan_scan.png" alt="ratan fits data" style="width:65%;"/>
</p>
## Contributing
Contributions are welcome! If you have suggestions for improvements or bug fixes,
please feel free to open an issue or submit a pull request.
Raw data
{
"_id": null,
"home_page": null,
"name": "ratansunpy",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.10",
"maintainer_email": null,
"keywords": "solar physics, radioastronomy, physics, data proccessing, ratan-600",
"author": "Igor Lysov",
"author_email": "iilysov.sci@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/d0/e7/beb4ae13edeaf9419e64122f790e1747b2ba29688a55fac97d933beb3c88/ratansunpy-0.2.5.tar.gz",
"platform": null,
"description": "# ``RATANSunPy``\n``RATANSunPy`` \n\nRATANSunPy is a Python package developed for accessing, visualizing, and analyzing\nmulti-band radio observations of the Sun from the RATAN-600 complex. These data are \nvaluable for diagnosing solar plasma conditions and predicting solar activity. \nHowever, working with these data requires extensive processing and a thorough \nunderstanding of the RATAN-600 system. The package offers comprehensive data \nprocessing functionalities, including direct access to raw data, essential \nprocessing steps such as calibration and quiet Sun normalization, and tools for \nanalyzing solar activity. This includes automatic detection of local sources,\nidentifying them with NOAA active regions, and further determining parameters for \nlocal sources and active regions.\n\n\n\n## Installation\n\nTo install RATANSunPy, run the following command:\n```bash\npip install ratansunpy\n```\n\n## Usage\n \nFor more detailed information about the package and its functionalities, please refer to the [official documentation](https://spbfsao.github.io/RATANSunPy/).\nThe best place to start is the in [example gallery](https://github.com/SpbfSAO/RATANSunPy/tree/main/notebooks) \nalso includes a collection of shorter and more specific examples of using ratansunpy, or you can look at example usages in [colab notebook](https://colab.research.google.com/drive/1JCaW_Kj-1Al-sDoNhJRawlSit5gietKm?usp=sharing) if you want to try it yourself. \n\n<p align=\"center\">\n <img src=\"images/raw_ratan_scan.png\" alt=\"ratan fits data\" style=\"width:65%;\"/>\n</p>\n\n\n## Contributing\n\nContributions are welcome! If you have suggestions for improvements or bug fixes, \nplease feel free to open an issue or submit a pull request.\n\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "RATAN-600 radioastronomical solar data and methods Python library",
"version": "0.2.5",
"project_urls": {
"Documentation": "https://SpbfSAO.github.io/RATANSunPy/",
"Repository": "https://github.com/SpbfSAO/RATANSunPy"
},
"split_keywords": [
"solar physics",
" radioastronomy",
" physics",
" data proccessing",
" ratan-600"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "6694842430dddcd03b20708c0f6193fe6fb59ae282269b2d6d515f7285452ab0",
"md5": "f4d66c5d37d21c94630dea55136d5688",
"sha256": "3fc2f020a10d7a6890f7785d31ef1f44ef4f41e315cdfbe9f195e1b2fdab9c35"
},
"downloads": -1,
"filename": "ratansunpy-0.2.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "f4d66c5d37d21c94630dea55136d5688",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.10",
"size": 786530,
"upload_time": "2025-08-21T12:14:45",
"upload_time_iso_8601": "2025-08-21T12:14:45.485516Z",
"url": "https://files.pythonhosted.org/packages/66/94/842430dddcd03b20708c0f6193fe6fb59ae282269b2d6d515f7285452ab0/ratansunpy-0.2.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "d0e7beb4ae13edeaf9419e64122f790e1747b2ba29688a55fac97d933beb3c88",
"md5": "6e1258baa4068e5cf81647d3e1e346b4",
"sha256": "c8e8009ac98fc917a7d248d9e5d8053628c3649c0f83e9dd966ef6865660fc94"
},
"downloads": -1,
"filename": "ratansunpy-0.2.5.tar.gz",
"has_sig": false,
"md5_digest": "6e1258baa4068e5cf81647d3e1e346b4",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.10",
"size": 784610,
"upload_time": "2025-08-21T12:14:47",
"upload_time_iso_8601": "2025-08-21T12:14:47.708012Z",
"url": "https://files.pythonhosted.org/packages/d0/e7/beb4ae13edeaf9419e64122f790e1747b2ba29688a55fac97d933beb3c88/ratansunpy-0.2.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-21 12:14:47",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "SpbfSAO",
"github_project": "RATANSunPy",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [
{
"name": "numpy",
"specs": []
},
{
"name": "astropy",
"specs": []
},
{
"name": "requests",
"specs": []
},
{
"name": "python-dateutil",
"specs": []
},
{
"name": "pytest",
"specs": []
},
{
"name": "pandas",
"specs": []
},
{
"name": "scipy",
"specs": []
},
{
"name": "PyWavelets",
"specs": []
},
{
"name": "openpyxl",
"specs": []
}
],
"lcname": "ratansunpy"
}
JSON
