Skip to main content

Measuring Galaxies Environments

Project description

Building an environmental catalog for galaxies

Author: Kayleigh Meneghini | Email: kayleighmeneghini@gmail.com

How to use

This package is available on PyPi.

For more details, please check this tutorial, using S-PLUS data.

# Installing 
pip install galaxy-environment
# import 
from galaxy_environment import environment

Any doubts about this package, please write to kayleighmeneghini@gmail.com


Introduction

How much the environment affects galaxies is still part of the unknown, as some results are discrepant depending on the sample selection, according to Lai et al. (2016), such as the chosen magnitude or velocity dispersion limit for sample.

Furthermore, the very definition of environment makes this type of study not trivial, after all how to define the environment? We can consider the local environment, such as the associated with a central galaxy and its satellites, or on larger scales such as those associated to groups and clusters.

According to Muldrew et al. (2012), there are two wide methods used to define the galactic environment, these are: Nearest Neighbors and Fixed Apertures.

In this package I have implemented the calculation of environmental estimators by these two methods, using the Python routines developed by Wright (2006) for calculating distances in cosmology.

Method 1: Nearest Neighbors

The principle of Nearest Neighbors is that galaxies with closest neighbors are in denser environments and, therefore, have higher density fields. This method defines the galactic environment using a variable scale, depending on the number of neighbors of each galaxy. For each galaxy in the sample, values for k are chosen, this being the number of neighbors and calculate the distance to each of them around an interval of z.

Method 2: Fixed Apertures

This method, unlike the previous one, defines a scale for the environment around a fixed area or volume for each galaxy. So, the more galaxies within that area or volume, the denser the environment.

References

  • Etherington J., Thomas D., Measuring galaxy environments in large-scale photometric surveys, Monthly Notices of the Royal Astronomical Society, 2015, vol. 451, p. 660

  • Lai et al. (2016), CAN WE DETECT THE COLOR–DENSITY RELATION WITH PHOTOMETRIC REDSHIFTS?, The Astrophysical Journal, 2016, vol. 825, p. 40

  • Mendes de Oliveira et al. (2019), The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical filters, Monthly Notices of the Royal Astronomical Society, 2019, vol. 489, p. 241–267

  • Muldrew et al. (2012), Measures of galaxy environment – I. What is ‘environment’?, Monthly Notices of the Royal Astronomical Society, 2012, vol. 419, p. 2670

  • Wright E., A Cosmology Calculator for the World Wide Web, Publications of the Astro- nomical Society of the Pacific, 2006, vol. 118, p. 1711–1715

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

galaxy_environment-0.0.4.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

galaxy_environment-0.0.4-py3-none-any.whl (10.4 kB view details)

Uploaded Python 3

File details

Details for the file galaxy_environment-0.0.4.tar.gz.

File metadata

  • Download URL: galaxy_environment-0.0.4.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for galaxy_environment-0.0.4.tar.gz
Algorithm Hash digest
SHA256 7b821b846ce979e2531ff0aca1261e77eab39dfe0fc7a9b2841bebaa503e2a66
MD5 41213dd162cb73181ce4dbddb4f92eb1
BLAKE2b-256 68d330632dc1a591a1444d5a5439c08d7ef6eb85d8c50660b03fa71ea6d4e0fb

See more details on using hashes here.

File details

Details for the file galaxy_environment-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: galaxy_environment-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 10.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for galaxy_environment-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 cbc6a4c9da4862c1315baed5262f9c71277725463cbb47c5e802c4e4c8e196f0
MD5 75882e064aa0b567d2e6a3317e9d92f7
BLAKE2b-256 26ce800ba3ec186c1e030b392010b3b5cd12f97e105959e8f9b72ded63eef38d

See more details on using hashes here.

Supported by

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