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 python=3.11
conda activate darknewt
python -m pip install darknewt

Install from source

Quickest way is this:

conda create -n darknewt python=3.11
conda activate darknewt
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:

  • APR4
  • AP1
  • AP3
  • 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-0.2.1.tar.gz (160.2 kB view details)

Uploaded Source

Built Distribution

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

darknewt-0.2.1-py3-none-any.whl (193.2 kB view details)

Uploaded Python 3

File details

Details for the file darknewt-0.2.1.tar.gz.

File metadata

  • Download URL: darknewt-0.2.1.tar.gz
  • Upload date:
  • Size: 160.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for darknewt-0.2.1.tar.gz
Algorithm Hash digest
SHA256 df48152de122b21d298db96a224f29aea209827095b4a5d8c368c9c494902724
MD5 067ae2bcd65b65de9679e2794ff0f8b0
BLAKE2b-256 37ae4fe1ab54da510f5102e1f90473b91678f38403f1b11df9c646ea09a4f489

See more details on using hashes here.

File details

Details for the file darknewt-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: darknewt-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 193.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for darknewt-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 36949423504786cd649c832c9aa754edc6e8c77f54f18d45384e83bf1890506b
MD5 3c69c8646dd16665f3eeaee5b7ae4601
BLAKE2b-256 4912f5bc1c3d6abee63f87ce166d3d4c39d13e7dcd51bea1b5d723314c80fbce

See more details on using hashes here.

Release history Release notifications | RSS feed

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.0

2 files

This release

0.2.1 This release

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