colossus 1.4.0

Cosmology, halo, and large-scale structure tools

Colossus is an astrophysics toolkit, the name is an acronym for COsmology, haLO, and large-Scale StrUcture toolS. Please consult the Online Documentation for details.

Installation

The easiest way to install Colossus is by executing:

pip install colossus

You might need to prefix this command with sudo. Alternatively, you can clone the BitBucket repository by executing:

git clone [e-mail]:bdiemer/colossus.git

After installing colossus, you should run its unit test suite to ensure that the code works as expected. In python, execute:

from colossus.tests import run_tests

The output should look something like this:

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.

License & Citing

Main Developer: Benedikt Diemer ([e-mail]). Contributors (in alphabetical order): Ankita Bera (accretion history & rate module), Matt Becker (cosmocalc module from which the Eisenstein & Hu 98 code was adapted), Michael Joyce (power spectra for self-similar cosmologies), Andrey Kravtsov (original MCMC module), and Steven Murray (Ludlow et al. 2016 concentration model, general updates). Additional code for specific models contributed by Elena Fernandez-Garcia, Andrea Fiorilli, Riccardo Seppi, Aaron Yung.

License: MIT. Copyright (c) 2014-2026

If you use Colossus for a publication, please cite the code paper (Diemer 2018). 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).