Colossus
========
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.
Installation
------------
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.
License & Citing
----------------
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).
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"description": "Colossus\n========\n\nColossus is an astrophysics toolkit, the name is an acronym for **CO**\\ smology, \nha\\ **LO**\\ , and large-**S**\\ cale **S**\\ tr\\ **U**\\ cture tool\\ **S**\\ . Please consult \nthe `Online Documentation <https://bdiemer.bitbucket.io/colossus/>`__ for details.\n\nInstallation\n------------\n\nThe easiest way to install Colossus is by executing:\n\n.. code:: shell\n\n pip install colossus\n\nYou might need to prefix this command with ``sudo``. Alternatively, you can clone the BitBucket repository by executing:\n\n.. code:: shell\n\n git clone git@bitbucket.org:bdiemer/colossus.git\n\nAfter installing colossus, you should run its unit test suite to ensure that the code works as expected. In python, execute:\n\n.. code:: shell\n\n from colossus.tests import run_tests\n\nThe output should look something like this:\n\n.. code:: shell\n\n test_home_dir (colossus.tests.test_utils.TCGen) ... ok\n test_Ez (colossus.tests.test_cosmology.TCComp) ... ok\n ...\n test_DK14ConstructorOuter (colossus.tests.test_halo_profile.TCDK14) ... ok\n test_DK14ConstructorWrapper (colossus.tests.test_halo_profile.TCDK14) ... ok\n \n ----------------------------------------------------------------------\n Ran 86 tests in 7.026s\n \n OK\n\nIf any errors occur, please send the output to the author.\n\nLicense & Citing\n----------------\n\nMain Developer: Benedikt Diemer (diemer@umd.edu)\n\nContributors: Matt Becker, Michael Joyce, Andrey Kravtsov, Steven Murray, Riccardo Seppi\n\nLicense: MIT. Copyright (c) 2014-2024\n\nIf you use Colossus for a publication, please cite the code paper \n(`Diemer 2018 <https://ui.adsabs.harvard.edu/abs/2018ApJS..239...35D/abstract>`__). Many \nColossus routines implement the results of other papers. If you use such routines, please take care \nto cite the relevant papers as well (they will be mentioned in the function and/or module \ndocumentation).\n",
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