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

pip install darknewt

Install from source

Quickest way is this:

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-0.1.2.tar.gz (160.0 kB view details)

Uploaded Source

Built Distribution

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

darknewt-0.1.2-py3-none-any.whl (193.0 kB view details)

Uploaded Python 3

File details

Details for the file darknewt-0.1.2.tar.gz.

File metadata

  • Download URL: darknewt-0.1.2.tar.gz
  • Upload date:
  • Size: 160.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for darknewt-0.1.2.tar.gz
Algorithm Hash digest
SHA256 4fb55f577458a154da82154f97c04e0d4674694d26422df8532eaba8c787e540
MD5 4c48080a9db369e0c2943c46588b26b2
BLAKE2b-256 d825178252e01b6d18d6300a545e140690c25ff012b6183f4a93a03e76bcc9e9

See more details on using hashes here.

File details

Details for the file darknewt-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: darknewt-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 193.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for darknewt-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b00e0708a9679002579c00640dd0165410f42acf5f4ef79d5b6cbf765fa7ed6f
MD5 3a64a8cd7c617c72c8a6d576825bb1e7
BLAKE2b-256 b533c0ef8693b28a25e0345442140e7ca4adf3fee9641c3cf51da78b3f714b99

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

0.2.1

2 files

0.2.0

2 files

This release

0.1.2 This release

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