Skip to main content

Galaxian Luminosity Function Constructor package using the 1/Vmax estimator and Schechter model.

Project description

Luminosity Function Constructor and Modeller

This packag allows the user to construct and model Galaxian Luminosity Functions using the estimator and Schechter function.

PyPI PyPI - Python Version PyPI - Downloads GitHub issues GitHub stars GitHub forks GitHub license

Installation

Use the package manager pip to install lumfunc.

pip install lumfunc

Usage

import lumfunc as lf
import numpy as np

lf.get_maggy(np.array([10, 100, 20])) # returns maggy values
get_maggy( )

Converts magnitudes into maggies.

lf.get_maggy(np.array([10, 100, 20])) 
# returns array([1.e-04, 1.e-40, 1.e-08])

get_patches( )

Divides survey into equally distributed and equally sized patches. Returns labels for patches from RA, Dec, number of patches and patch center guesses.

lf.get_patches(np.array([20, 21, 22, 20, 21, 22]),
            np.array([20, 21, 22, 20, 21, 22]),
            3,
            np.array([[20, 21], [22, 20], [21, 22], [20, 21], [22, 20],
                      [21, 22]]),
            survey='kids',
            numba_installed=True,
            plot_savename='test_patches.png')
# Displays the plot

get_patches

Dependencies

PyPI PyPI PyPI PyPI

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lumfunc-0.2.2.tar.gz (2.1 MB view details)

Uploaded Source

Built Distribution

lumfunc-0.2.2-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file lumfunc-0.2.2.tar.gz.

File metadata

  • Download URL: lumfunc-0.2.2.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for lumfunc-0.2.2.tar.gz
Algorithm Hash digest
SHA256 fdadf84dbc71565fe8b344bfb12fcb60031556333fb0f71168feaa6b4c89a534
MD5 1ed71969c374abb39f0418f3b4c6cf58
BLAKE2b-256 e4ed2b6a34a48b9e7f62c82979f60bf2e170ada00a2108859d6741f9a9ff83bb

See more details on using hashes here.

File details

Details for the file lumfunc-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: lumfunc-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for lumfunc-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3c7cf8fbbce24276f87303be38b4a8b97027e17ae429db4ccc5923e472f122c0
MD5 75b596d979fffe04dc14183cddd65185
BLAKE2b-256 646e263d79eaec4a2de29a497de507caa2d235ae4bef174831ef82d73d6e9839

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page