epsf-generator


Nameepsf-generator JSON
Version 1.0.0 PyPI version JSON
download
home_page
SummaryA tiny script generating ePSF for deep sky image
upload_time2023-04-14 12:04:04
maintainer
docs_urlNone
authorZhen Huang
requires_python
licenseBSD 3-Clause License
keywords epsf astrophotography psf
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # ePSF Generator

This script generates an ePSF (effective Point Spread Function) from a FITS image by detecting stars, extracting cutouts, and building a PSF model. The output is saved as a FITS file.


## Usage

To run the script, use the following command:

```
epsf_generator [-h] -i IMAGE [-n NUMBER] [-f FWHM] [-s SIZE] -o OUTPUT
```

## Required Arguments


`-i` or `--image`: path to FITS image

`-o` or `--output`: path to output ePSF FITS file


## Optional Arguments


`-n` or `--number`: maximum number of stars to use for ePSF model (default is 100)

`-f` or `--fwhm`: FWHM (full-width at half-maximum) of stars in pixels (default is 5.0)

`-s` or `--size`: size of cutout in pixels around detected stars (default is 25)

`-h` or `--help`: show help message and exit


## Example

Create an ePSF from an input FITS image and save it as a FITS file:

```
epsf_generator -i input.fits -o output.fits
```
This will generate an ePSF from the input.fits image with default parameters and save it as output.fits.

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "epsf-generator",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "epsf,astrophotography,psf",
    "author": "Zhen Huang",
    "author_email": "hzvictor@zju.edu.cn",
    "download_url": "",
    "platform": null,
    "description": "# ePSF Generator\n\nThis script generates an ePSF (effective Point Spread Function) from a FITS image by detecting stars, extracting cutouts, and building a PSF model. The output is saved as a FITS file.\n\n\n## Usage\n\nTo run the script, use the following command:\n\n```\nepsf_generator [-h] -i IMAGE [-n NUMBER] [-f FWHM] [-s SIZE] -o OUTPUT\n```\n\n## Required Arguments\n\n\n`-i` or `--image`: path to FITS image\n\n`-o` or `--output`: path to output ePSF FITS file\n\n\n## Optional Arguments\n\n\n`-n` or `--number`: maximum number of stars to use for ePSF model (default is 100)\n\n`-f` or `--fwhm`: FWHM (full-width at half-maximum) of stars in pixels (default is 5.0)\n\n`-s` or `--size`: size of cutout in pixels around detected stars (default is 25)\n\n`-h` or `--help`: show help message and exit\n\n\n## Example\n\nCreate an ePSF from an input FITS image and save it as a FITS file:\n\n```\nepsf_generator -i input.fits -o output.fits\n```\nThis will generate an ePSF from the input.fits image with default parameters and save it as output.fits.\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause License",
    "summary": "A tiny script generating ePSF for deep sky image",
    "version": "1.0.0",
    "split_keywords": [
        "epsf",
        "astrophotography",
        "psf"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8292ac507f2c97cf1fd7d529a080a5e603b2dcb161de950dd2884c4bccba8a50",
                "md5": "f64b8062bae04aea6772c1029356446f",
                "sha256": "a2a52d75085c99a8db979e7c37e6cde444ff558ec994cb8ae112016db28e9c5a"
            },
            "downloads": -1,
            "filename": "epsf_generator-1.0.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f64b8062bae04aea6772c1029356446f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 4253,
            "upload_time": "2023-04-14T12:04:04",
            "upload_time_iso_8601": "2023-04-14T12:04:04.176816Z",
            "url": "https://files.pythonhosted.org/packages/82/92/ac507f2c97cf1fd7d529a080a5e603b2dcb161de950dd2884c4bccba8a50/epsf_generator-1.0.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-04-14 12:04:04",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "epsf-generator"
}
        
Elapsed time: 0.17895s