Skip to main content

package to compute integrals related to spherical Jeans equation, including various parametric functions to describe halo and tracer components

Project description

jeans

A package for calculating properties of (spherical) dark matter halos and embedded (spherical) stellar populations, including integration of the (spherical) Jeans equation in 2D (observed projections) and 3D.

Author: Matthew G. Walker (2024)

Instructions

  • Install jeans. You can either pip install the released version or install from github
pip install jeans

Available Dark Matter Halo Models

The alpha/beta/gamma ('abg_triangle') halo has mass density profile $\rho(r)=\frac{\rho_s}{(r/r_s)^{\gamma}[1+(r/r_s)^{\alpha}]^{(\beta-\gamma)/\alpha}}$.

The Navarro-Frenk-White ('nfw') halo is a special case of the above, with $(\alpha,\beta,\gamma)=(1,3,1)$, but can be called directly.

The Dehnen Cusp ('dehnen_cusp') halo is a special case of the 'abg' halo, with $(\alpha,\beta,\gamma)=(1,4,1)$, but can be called directly.

The Dehnen Core ('dehnen_core') halo is a special case of the 'abg' halo, with $(\alpha,\beta,\gamma)=(1,4,0)$, but can be called directly.

The core-NFW ('cnfw') halo is by Read et al. (arXiv:1805.06934), defined in terms of the enclosed mass profile, $M_{\rm cNFW}(r)=M_{\rm NFW}(r)f^n$, where $M_{\rm NFW}(r)$ is the enclosed mass profile of the NFW halo and $f^n=[\tanh(r/r_c)]^n$, with $r_c$ a core radius.

The core-NFW-tides ('cnfwt') halo is by Read et al. (arXiv:1805.06934), with density profile $\rho_{\rm cNFWt}(r)=\rho_{\rm cNFW}(r)$ for $r<r_{\rm t}$ and $\rho_{\rm cNFWt}(r)=\rho_{\rm cNFW}(r_{\rm t})(r/r_{\rm t})^{-\delta}$, allowing for power-law decrease in density beyond `tidal' radius $r_{\rm t}$.

For cNFW and cNFWt models, the standard definitions of parameters $M_{\triangle}$, $c_{\triangle}$ and $r_{\triangle}$ apply to the density and mass profile of the corresponding NFW halo that would be obtained by setting $r_{\rm c}=0$ and $r_{\rm t}=\infty$.

Available Models for Tracer component

The alpha/beta/gamma ('abg') model has number density profile $\nu(r)=\frac{\nu_0}{(r/r_s)^{\gamma}[1+(r/r_s)^{\alpha}]^{(\beta-\gamma)/\alpha}}$.

The Plummer model ('plum') is a special case of the 'abg' model, with $(\alpha,\beta,\gamma)=(2,5,0)$, but can be called directly.

The 'a2bg' model is a special case of the 'abg' model, with $\alpha=2$, but can be called directly.

The exponential model 'exp' is defined in terms of projected density, $\Sigma(R)=\Sigma_0\exp(-R/r_s)$.

Available Models for velocity dispersion anisotropy of the tracer component

The only model currently implemented is that of Read et al. (arXiv:1805.06934): $\beta(r)\equiv 1-\sigma^2_{\rm t}/\sigma^2_{\rm r}=\beta_0+(\beta_{\infty}-\beta_0)/(1+(r/r_{\beta})^{-n})$, where $\sigma_{\rm r}$ is the radial component of the velocity dispersion and $\sigma_{\rm t}=\sigma_{\theta}=\sigma_{\phi}$ is the tangential component (the two angular components have equal magnitude in the absence of rotation).

Usage

See notebook in the examples folder.

Examples

See notebook in the examples folder.

Acknowledgement

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

jeans-1.8.4.tar.gz (12.0 kB view details)

Uploaded Source

Built Distribution

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

jeans-1.8.4-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file jeans-1.8.4.tar.gz.

File metadata

  • Download URL: jeans-1.8.4.tar.gz
  • Upload date:
  • Size: 12.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.8

File hashes

Hashes for jeans-1.8.4.tar.gz
Algorithm Hash digest
SHA256 0d66f136ef75b560115295dc0f569f3e6e197d19e0a04534df3782ce6825e33a
MD5 3ffd76810d283efa93e3c9f51334e9d0
BLAKE2b-256 723cd2d5045d559c377a98089135a9543d5d6cd642e20b63e5e5c46a209c8ecc

See more details on using hashes here.

File details

Details for the file jeans-1.8.4-py3-none-any.whl.

File metadata

  • Download URL: jeans-1.8.4-py3-none-any.whl
  • Upload date:
  • Size: 10.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.8

File hashes

Hashes for jeans-1.8.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5373f708493a56024cae2160646c72a49118d980b89288795ea7c977e3279f99
MD5 0a9fcd60595f0e145fb5019502f08089
BLAKE2b-256 7cfcc6be0371fe8341485638b31d98b6587fe560bce3a69010d5164138b54791

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page