Skip to main content

RandomSDSS

PyPI version RandomSDSS Coverage Status Documentation Status License: MIT

Generate random points in the Sloan Digital Sky Survey (SDSS) DR8 to DR16 footprints.

This is a small wrapper around the package pymangle that facilitates the creation of random points in the SDSS fields. I included SDSS polygons for its diferent data releases (DR8 to DR16).

Basic Usage

import matplotlib.pyplot as plt
import randomsdss

dr12 = randomsdss.DR12(catalog="BOSS")
ra, dec = dr12.sky_random(size=10_000)

plt.figure()
plt.scatter(ra, dec, s=1)
plt.xlabel('RA [deg]')
plt.ylabel('DEC [deg]')

DR12 example

Alternatively you can get the same result without the need to instantiate an object using:

ra, dec = randomsdss.sky_random(dr="DR12", catalog="BOSS", size=10_000)

If you also need a random redshift distribution you can provide a sample of redshifts and a random set will be generated from the underlying Probability Density Function (PDF):

z = randomsdss.z_random(z_array, size=10_000)

The z_random is a complementary function since it doesn't use any information from the SDSS catalogs, only the provided redshift array.

Author

Martin Chalela - email: tinchochalela@gmail.com

Metadata

Release files for randomsdss 0.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for randomsdss 0.5.0
File Size Uploaded Provenance
randomsdss-0.5.0.tar.gz 12.5 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for randomsdss 0.5.0
File Interpreter ABI Platform
randomsdss-0.5.0-py3-none-any.whl Python 3 none any Details

Total release size: 25.6 MB

Release files / randomsdss-0.5.0.tar.gz

Download URL randomsdss-0.5.0.tar.gz
Size 12.5 MB
Tags Source
SHA-256 checksum
How to use checksums
78aa530487b7a83eee466a15725af7814fcd21b1adcf680c6e5a88d6d12f1377
BLAKE2b-256 checksum
How to use checksums
4bdfc9a78f8679ca8ade2a83bee5c1d8d2ce5635c7c8fd5153646db4120faa46
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

Release files / randomsdss-0.5.0-py3-none-any.whl

Download URL randomsdss-0.5.0-py3-none-any.whl
Size 13.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
5cf7a7075ecff98674cb22d2ba3d405f4fe7e3de57a2d4da2acc0bcd0431def4
BLAKE2b-256 checksum
How to use checksums
2b14dce19f26e16f68ca72fcfe0450068381121b1ac1e91e86984c792f9efa4e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7

Security for randomsdss 0.5.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page