Skip to main content

DarkNewt

darknewt logo

Tolman–Oppenheimer–Volkoff modelling of dark-matter admixed neutron stars

PyPI version GitLab Python License


Overview

DarkNewt is a Python package for modelling compact stars containing nuclear matter and dark matter using the Tolman–Oppenheimer–Volkoff (TOV) equations.

The package can be used to calculate:

  • Mass–radius relations of neutron stars
  • Pure nuclear-matter neutron-star sequences
  • Two-fluid nuclear-matter + dark-matter configurations
  • Individual nuclear-matter and dark-matter masses
  • Individual fluid radii
  • Total stellar mass and radius
  • Dimensionless tidal deformability
  • Mass–tidal-deformability relations
  • Configurations at fixed dark-matter mass fraction

The package is designed primarily for research and exploratory work in neutron-star and gravitational-wave physics.


Installation

From PyPI

conda create -n darknewt-env python=3.11 -y
conda activate darknewt-env
python -m pip install darknewt

Install from source

Quickest way is this:

conda create -n darknewt-env python=3.11 -y
conda activate darknewt-env
python -m pip install git+https://gitlab.com/samanwaya-mukherjee/darknewt.git

Features

Equation of state

darknewt provides a common EOS interface supporting both tabulated and analytic equations of state.

Built-in nuclear-matter EOS tables include, among others:

  • AP1
  • AP3
  • AP4 / APR4
  • MPA1
  • MS1
  • H1
  • H4
  • SLy

Several Bose–Einstein condensate (BEC) dark-matter EOS tables are also included.

User-supplied EOS tables can be loaded from a file containing:

density [g/cm^3]    pressure [dyn/cm^2]

Project structure

darknewt/
├── assets/
│   └── darknewt_logo.png
├── darknewt/
│   ├── __init__.py
│   ├── constants.py
│   ├── love.py
│   ├── solver.py
│   ├── tov.py
│   ├── utils.py
│   └── eos/
│       ├── __init__.py
│       ├── base.py
│       ├── models.py
│       └── eos_data/
│           ├── AP1.txt
│           ├── ...
├── examples/
│   └── test.py
├── README.md
├── LICENSE
└── pyproject.toml

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

darknewt-1.1.0.tar.gz (127.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

darknewt-1.1.0-py3-none-any.whl (158.6 kB view details)

Uploaded Python 3

File details

Details for the file darknewt-1.1.0.tar.gz.

File metadata

  • Download URL: darknewt-1.1.0.tar.gz
  • Upload date:
  • Size: 127.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for darknewt-1.1.0.tar.gz
Algorithm Hash digest
SHA256 50178ffb43e2080741133e430b5dc88566cd047d262d584e9109c5813ef9031f
MD5 4b97bd24c0d377b511f1db4a3ea38162
BLAKE2b-256 6d6b06499682d99c1e3612d47f92e18ca7aa54675bbc4a74ee913157f29d04f8

See more details on using hashes here.

File details

Details for the file darknewt-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: darknewt-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 158.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for darknewt-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aa49902bae2ee7f67a8e303937c8854c783a12936279a65f7c7455da37f798b9
MD5 eaa96ec1527f8020cf01f43ecf7cf751
BLAKE2b-256 04fa5a20ea93b4707b67e05b15136664862e26bcd1153d639478f2de0e84263a

See more details on using hashes here.

Release history Release notifications | RSS feed

1.1.2

2 files

1.1.1

2 files

This release

1.1.0 This release

2 files

1.0.0

2 files

0.2.1

2 files

0.2.0

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page