Skip to main content

MIST Isochrone interpolation

Project description

Build Status Coverage StatusDOI

Minimint (MIni Mist INTerpolation)

This is a python package to perform interpolation of MIST isochrones. It is simple, in the sense that it only does one thing - predict the stellar parameters ($\log g$, $T_{eff}$, $\log L$) and photometry in a given filter for a given mass, age and metallicity. It is also vectorized, so computing photometry for large number of stars, should not be slow.

Author: Sergey Koposov (2020-2026) skoposov AT ed DOT ac DOT uk

Instructions

  • Install minimint. You can either pip install the released version or install from github
pip install minimint
  • Download and prepare isochrone files
minimint.download_and_prepare()

That will download all the MIST files, and process the evolutionary tracks and bolometric corrections by creating the necessary files for the package.

minimint.download_and_prepare() by default creates bolometric corrections for these filters 'DECam', 'GALEX', 'PanSTARRS', 'SDSSugriz', 'SkyMapper','UBVRIplus', 'WISE' If you need additional filters, you can specify them using the filters parameter

minimint.download_and_prepare(filters=['JWST','WISE','DECam', 'GALEX', 'PanSTARRS', 'SDSSugriz', 'SkyMapper','UBVRIplus']) Check which filters are available on the MIST website http://waps.cfa.harvard.edu/MIST/model_grids.html The downloading will take some time (20-30 min) and will use significant amount of disk space (10-30 Gb).

If you want to put those processed isochrone files in a location different from the site-packages folder of minimint, you can use the outp_prefix parameter of download_and_prepare. You then will need to either specify the location each time when you construct the interpolators or with the MINIMINT_DATA_PATH environment variable.

Usage

In order to create an interpolator object for two filters (your can provide a list of any numbers of filters)

ii = minimint.Interpolator(['DECam_g','DECam_r'])

The interpolator is a callable, so you can call it on mass, log10(age), feh

ii(mass, logage, feh)

This returns a dictionary with photometry, logg, logteff and logl. mass, logage and feh could arrays. In this case the result will be dictionary of arrays.

You also can use the interpolator to find the maximum valid mass on the isochrone.

ii.getMaxMass(logage, feh)

Examples

See the notebook in the examples folder

Synthetic stellar populations

If you are interested in synthetic stellar populations you will need an implementation of the IMF. For this you may want to use https://github.com/keflavich/imf

Acknowledgement

If you are using this package please cite it through zenodo link https://doi.org/10.5281/zenodo.4002971 Also make sure that you acknowledge MIST isochrones https://waps.cfa.harvard.edu/MIST/

Project details


Download files

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

Source Distribution

minimint-0.5.1.tar.gz (788.3 kB view details)

Uploaded Source

Built Distribution

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

minimint-0.5.1-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file minimint-0.5.1.tar.gz.

File metadata

  • Download URL: minimint-0.5.1.tar.gz
  • Upload date:
  • Size: 788.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for minimint-0.5.1.tar.gz
Algorithm Hash digest
SHA256 bdc500e760d4926c9f047391a8ab502830f679ba4a39dcff57ac1149c360853b
MD5 c88b506558f5d0d99a525e2bba2e1a22
BLAKE2b-256 68a87eaeac1f962f3ef0fdbe9021839bd39d62aa39c5f7e2bab1cb2822888b4a

See more details on using hashes here.

File details

Details for the file minimint-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: minimint-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 14.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for minimint-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 62ee2d042f60d09c23b407c346eab97dce5df492ad08ed2a9efd116ab160c1af
MD5 d96c6655ae7fb9734b1302adec8290d3
BLAKE2b-256 a4fcb7a0f9147c7397e1c7d38d7345af6b4500950c66b9dff57399b42f1b8caf

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