Colossus is an astrophysics toolkit, the name is an acronym for CO\ smology,
ha\ LO\ , and large-S\ cale S\ tr\ U\ cture tool\ S\ . Please consult
the Online Documentation <https://bdiemer.bitbucket.io/colossus/>__ for details.
The easiest way to install Colossus is by executing:
.. code:: shell
pip install colossus
You might need to prefix this command with sudo. Alternatively, you can clone the BitBucket repository by executing:
.. code:: shell
git clone git@bitbucket.org:bdiemer/colossus.git
After installing colossus, you should run its unit test suite to ensure that the code works as expected. In python, execute:
.. code:: shell
from colossus.tests import run_tests
The output should look something like this:
.. code:: shell
test_home_dir (colossus.tests.test_utils.TCGen) ... ok
test_Ez (colossus.tests.test_cosmology.TCComp) ... ok
...
test_DK14ConstructorOuter (colossus.tests.test_halo_profile.TCDK14) ... ok
test_DK14ConstructorWrapper (colossus.tests.test_halo_profile.TCDK14) ... ok
----------------------------------------------------------------------
Ran 86 tests in 7.026s
OK
If any errors occur, please send the output to the author.
Main Developer: Benedikt Diemer (diemer@umd.edu)
Contributors: Matt Becker, Michael Joyce, Andrey Kravtsov, Steven Murray, Riccardo Seppi
License: MIT. Copyright (c) 2014-2024
If you use Colossus for a publication, please cite the code paper
(Diemer 2018 <https://ui.adsabs.harvard.edu/abs/2018ApJS..239...35D/abstract>__). Many
Colossus routines implement the results of other papers. If you use such routines, please take care
to cite the relevant papers as well (they will be mentioned in the function and/or module
documentation).
FAQs
Cosmology, halo, and large-scale structure tools
We found that colossus demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.