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Compact Object Synthesis and Monte Carlo Investigation Code

Project description

COSMIC

COSMIC (Compact Object Synthesis and Monte Carlo Investigation Code)

COSMIC is a rapid binary population synthesis suite with a special purpose of generating realistic compact binary populations. COSMIC can also be used to evolve binaries with BSE in a python environment.

COSMIC currently implements binary evolutionary processes using BSE (Hurley+2002). Several modifications have been applied to BSE to account for recent updates to binary evolution especially important to compact binary formation (e.g. metallicity-dependent stellar winds or black hole natal kick strengths). For a detailed discussion of these modifications, see Breivik et al 2019

https://cosmic-popsynth.github.io/

Release Status

DOI

PyPI version

Installation

The easiest method to install cosmic is using pip directly:

pip install cosmic-popsynth

Unit Test COSMIC

codecov

Project details


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Files for cosmic-popsynth, version 3.4.0
Filename, size File type Python version Upload date Hashes
Filename, size cosmic_popsynth-3.4.0-cp36-cp36m-macosx_10_9_x86_64.whl (466.3 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size cosmic_popsynth-3.4.0-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size cosmic_popsynth-3.4.0-cp37-cp37m-macosx_10_9_x86_64.whl (466.3 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size cosmic_popsynth-3.4.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size cosmic_popsynth-3.4.0-cp38-cp38-macosx_10_9_x86_64.whl (466.7 kB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size cosmic_popsynth-3.4.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.5 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size cosmic-popsynth-3.4.0.tar.gz (198.3 kB) File type Source Python version None Upload date Hashes View

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