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-1.7.4.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

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

jeans-1.7.4-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file jeans-1.7.4.tar.gz.

File metadata

  • Download URL: jeans-1.7.4.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.8

File hashes

Hashes for jeans-1.7.4.tar.gz
Algorithm Hash digest
SHA256 fa87d8fc447bd447d62a1aa197e69a8ea5ae5d16abb04ad52cb5c926b22a3b63
MD5 7e489caecbf0088352983973be15ae0c
BLAKE2b-256 f57ff5843f950e27ad6ca68b1c9741418b49ec25f996b93e3c9d50cbe8f88a38

See more details on using hashes here.

File details

Details for the file jeans-1.7.4-py3-none-any.whl.

File metadata

  • Download URL: jeans-1.7.4-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-1.7.4-py3-none-any.whl
Algorithm Hash digest
SHA256 3adaf07c241d2b97a9775b6e8b26ffaaa64fa5ccbfd1bd152c97a7c26f442672
MD5 a50346b60acd62ce3a9ec5eec1448c9a
BLAKE2b-256 85ea1bfda9cb1907ea27fa611108bd731a500d3af54984e8392bbec021ec8eb4

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