https://github.com/segasai/minimint

Simple MIST isochrone interpolation
https://github.com/segasai/minimint

interpolation isochrones mist

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Simple MIST isochrone interpolation

• Host: GitHub
• URL: https://github.com/segasai/minimint
• Owner: segasai
• Created: 2020-05-11T07:14:01.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-11-01T12:55:15.000Z (2 months ago)
• Last Synced: 2024-11-01T13:35:25.851Z (2 months ago)
• Topics: interpolation, isochrones, mist
• Language: Python
• Homepage:
• Size: 3.75 MB
• Stars: 11
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Minimint (MIni Mist INTerpolation)

# Python package to perform simple interpolation of MIST isochrones.

Author: Sergey Koposov (2020-2024) 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 everything 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

This will take some time (20-30 min) and will use significant 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.

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

```ii.getMaxMass(logage, feh)```

## Examples 

See the [notebook](examples/Example.ipynb) in the examples folder

## Synthetic stellar populations

If you are interested in synthetic stellar populations you will need

the 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 you acknowledge MIST isochrones https://waps.cfa.harvard.edu/MIST/