vetting

Name	vetting JSON
Version	0.3.1 JSON
	download
home_page	https://github.com/SSDataLab/vetting
Summary	Simple, stand-alone vetting tools for transiting signals in Keper, K2 and TESS data
upload_time	2024-03-20 15:16:14
maintainer	None
docs_url	None
author	Christina Hedges
requires_python	<4.0,>=3.7
license	MIT
keywords	nasa kepler k2 tess astronomy
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # vetting

**`vetting` contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. `vetting` requires an installation of Python 3.8 or higher.**

[![pypi](https://img.shields.io/pypi/v/vetting)](https://pypi.org/project/vetting/)
![pytest](https://github.com/ssdatalab/vetting/workflows/pytest/badge.svg)
[![paper](https://img.shields.io/badge/RNAAS-read%20the%20paper-blue)](https://iopscience.iop.org/article/10.3847/2515-5172/ac376a)

## Installation

You can install `vetting` by executing the following in a terminal

```
pip install vetting
```

### Centroid testing

An example of a simple test is shown below.

![Example of simple centroid test](https://github.com/SSDataLab/vetting/raw/main/demo.png)

Here a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:

```python
import lightkurve as lk
from vetting import centroid_test

tpf = lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()
period, t0, dur = 25.3368592, 192.91552, 8.85/24
r = centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/SSDataLab/vetting",
    "name": "vetting",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.7",
    "maintainer_email": null,
    "keywords": "NASA, Kepler, K2, TESS, Astronomy",
    "author": "Christina Hedges",
    "author_email": "christina.l.hedges@nasa.gov",
    "download_url": "https://files.pythonhosted.org/packages/ce/d7/904296550d9327d1a630018a40cd9a7e6d87225de2d885633422f2b48541/vetting-0.3.1.tar.gz",
    "platform": null,
    "description": "# vetting\n\n**`vetting` contains simple, stand-alone Python tools for vetting transiting signals in NASA's Kepler, K2 and TESS data. `vetting` requires an installation of Python 3.8 or higher.**\n\n[![pypi](https://img.shields.io/pypi/v/vetting)](https://pypi.org/project/vetting/)\n![pytest](https://github.com/ssdatalab/vetting/workflows/pytest/badge.svg)\n[![paper](https://img.shields.io/badge/RNAAS-read%20the%20paper-blue)](https://iopscience.iop.org/article/10.3847/2515-5172/ac376a)\n\n## Installation\n\nYou can install `vetting` by executing the following in a terminal\n\n```\npip install vetting\n```\n\n### Centroid testing\n\nAn example of a simple test is shown below.\n\n![Example of simple centroid test](https://github.com/SSDataLab/vetting/raw/main/demo.png)\n\nHere a significant offset is detected in the centroid of false positive KOI-608 during transit. The p-value for the points during transit being drawn from the same distribution as the points out of transit is low, (there is a less than 1% chance these are drawn from the same distribution). To recreate this example you can use the following script:\n\n```python\nimport lightkurve as lk\nfrom vetting import centroid_test\n\ntpf = lk.search_targetpixelfile('KOI-608', mission='Kepler', quarter=10).download()\nperiod, t0, dur = 25.3368592, 192.91552, 8.85/24\nr = centroid_test(tpf, period, t0, dur, aperture_mask='pipeline', plot=False)\n```\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Simple, stand-alone vetting tools for transiting signals in Keper, K2 and TESS data",
    "version": "0.3.1",
    "project_urls": {
        "Homepage": "https://github.com/SSDataLab/vetting",
        "Repository": "https://github.com/SSDataLab/vetting"
    },
    "split_keywords": [
        "nasa",
        " kepler",
        " k2",
        " tess",
        " astronomy"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "33def0de8422a870b648f4aaa8206a1d72877083ec3bc0132c0c939760308f2f",
                "md5": "c165c78e76559a40de5a002736043629",
                "sha256": "2891bc027bea1adb206bf7c7d5ca4c11b2f9d5fcd58fa99edc7f205dc3699148"
            },
            "downloads": -1,
            "filename": "vetting-0.3.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "c165c78e76559a40de5a002736043629",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.7",
            "size": 149805,
            "upload_time": "2024-03-20T15:16:12",
            "upload_time_iso_8601": "2024-03-20T15:16:12.880328Z",
            "url": "https://files.pythonhosted.org/packages/33/de/f0de8422a870b648f4aaa8206a1d72877083ec3bc0132c0c939760308f2f/vetting-0.3.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ced7904296550d9327d1a630018a40cd9a7e6d87225de2d885633422f2b48541",
                "md5": "84e05ac54560c47e82bae60fb166ad6c",
                "sha256": "6bd0341894bb928c3b270dd120d1da6783671adc80997094793629e99977b54a"
            },
            "downloads": -1,
            "filename": "vetting-0.3.1.tar.gz",
            "has_sig": false,
            "md5_digest": "84e05ac54560c47e82bae60fb166ad6c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.7",
            "size": 151146,
            "upload_time": "2024-03-20T15:16:14",
            "upload_time_iso_8601": "2024-03-20T15:16:14.741310Z",
            "url": "https://files.pythonhosted.org/packages/ce/d7/904296550d9327d1a630018a40cd9a7e6d87225de2d885633422f2b48541/vetting-0.3.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-20 15:16:14",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "SSDataLab",
    "github_project": "vetting",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "vetting"
}